From 3c573311568bc4dc731188083d4c734534d635a1 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Wed, 30 Sep 2026 07:59:09 +0000 Subject: [PATCH] chore: sync model metadata --- .changeset/sync-models.md | 8 + packages/ai-anthropic/src/model-meta.ts | 55 + packages/ai-openai/src/model-meta.ts | 98 + packages/ai-openrouter/src/model-meta.ts | 826 +- packages/ai-vercel-gateway/src/model-meta.ts | 125 +- scripts/.sync-models-last-run | 2 +- scripts/openrouter.models.json | 8075 +++++++++--------- scripts/vercel-gateway.models.json | 1765 +++- 8 files changed, 6429 insertions(+), 4525 deletions(-) create mode 100644 .changeset/sync-models.md diff --git a/.changeset/sync-models.md b/.changeset/sync-models.md new file mode 100644 index 0000000000..c3301eec6c --- /dev/null +++ b/.changeset/sync-models.md @@ -0,0 +1,8 @@ +--- +'@tanstack/ai-anthropic': patch +'@tanstack/ai-openai': patch +'@tanstack/ai-openrouter': patch +'@tanstack/ai-vercel-gateway': patch +--- + +Update model metadata from OpenRouter API diff --git a/packages/ai-anthropic/src/model-meta.ts b/packages/ai-anthropic/src/model-meta.ts index 4c2b30e928..1de63ce2ce 100644 --- a/packages/ai-anthropic/src/model-meta.ts +++ b/packages/ai-anthropic/src/model-meta.ts @@ -648,7 +648,49 @@ const CLAUDE_OPUS_5_5 = { AnthropicOutputConfigOptions > +const CLAUDE_SONNET_5_5 = { + name: 'claude-sonnet-5-5', + id: 'claude-sonnet-5-5', + context_window: 1_000_000, + max_output_tokens: 128_000, + supports: { + input: ['text', 'image', 'document'], + extended_thinking: false, + adaptive_thinking: true, + priority_tier: true, + tools: [ + 'web_search', + 'web_fetch', + 'code_execution', + 'computer_use', + 'bash', + 'text_editor', + 'memory', + ], + }, + pricing: { + input: { + normal: 2, + cached: 0.2, + }, + output: { + normal: 10, + }, + }, +} as const satisfies ModelMeta< + AnthropicCacheControlOptions & + AnthropicContainerOptions & + AnthropicContextManagementOptions & + AnthropicMCPOptions & + AnthropicServiceTierOptions & + AnthropicStopSequencesOptions & + AnthropicAdaptiveOnlyThinkingOptions & + AnthropicToolChoiceOptions & + AnthropicSamplingOptions +> + export const ANTHROPIC_MODELS = [ + CLAUDE_SONNET_5_5.id, CLAUDE_OPUS_5_5.id, CLAUDE_FABLE_5_1.id, CLAUDE_OPUS_5.id, @@ -728,6 +770,7 @@ const ANTHROPIC_MODEL_MAX_OUTPUT_TOKENS: Record = { [CLAUDE_OPUS_5_FAST.id]: CLAUDE_OPUS_5_FAST.max_output_tokens, [CLAUDE_FABLE_5_1.id]: CLAUDE_FABLE_5_1.max_output_tokens, [CLAUDE_OPUS_5_5.id]: CLAUDE_OPUS_5_5.max_output_tokens, + [CLAUDE_SONNET_5_5.id]: CLAUDE_SONNET_5_5.max_output_tokens, } /** @@ -776,6 +819,7 @@ export function getAnthropicDefaultMaxTokens( * in `structuredOutput`. */ export const ANTHROPIC_COMBINED_TOOLS_AND_SCHEMA_MODELS = new Set([ + CLAUDE_SONNET_5_5.id, CLAUDE_OPUS_4_5.id, CLAUDE_OPUS_4_6.id, CLAUDE_OPUS_4_7.id, @@ -944,6 +988,15 @@ export type AnthropicChatModelProviderOptionsByName = { AnthropicToolChoiceOptions & AnthropicSamplingOptions & AnthropicOutputConfigOptions + [CLAUDE_SONNET_5_5.id]: AnthropicCacheControlOptions & + AnthropicContainerOptions & + AnthropicContextManagementOptions & + AnthropicMCPOptions & + AnthropicServiceTierOptions & + AnthropicStopSequencesOptions & + AnthropicAdaptiveOnlyThinkingOptions & + AnthropicToolChoiceOptions & + AnthropicSamplingOptions } export type AnthropicChatModelToolCapabilitiesByName = { @@ -961,6 +1014,7 @@ export type AnthropicChatModelToolCapabilitiesByName = { [CLAUDE_OPUS_5_FAST.id]: typeof CLAUDE_OPUS_5_FAST.supports.tools [CLAUDE_FABLE_5_1.id]: typeof CLAUDE_FABLE_5_1.supports.tools [CLAUDE_OPUS_5_5.id]: typeof CLAUDE_OPUS_5_5.supports.tools + [CLAUDE_SONNET_5_5.id]: typeof CLAUDE_SONNET_5_5.supports.tools } /** @@ -989,4 +1043,5 @@ export type AnthropicModelInputModalitiesByName = { [CLAUDE_OPUS_5_FAST.id]: typeof CLAUDE_OPUS_5_FAST.supports.input [CLAUDE_FABLE_5_1.id]: typeof CLAUDE_FABLE_5_1.supports.input [CLAUDE_OPUS_5_5.id]: typeof CLAUDE_OPUS_5_5.supports.input + [CLAUDE_SONNET_5_5.id]: typeof CLAUDE_SONNET_5_5.supports.input } diff --git a/packages/ai-openai/src/model-meta.ts b/packages/ai-openai/src/model-meta.ts index daa6ea88a0..946f742b8a 100644 --- a/packages/ai-openai/src/model-meta.ts +++ b/packages/ai-openai/src/model-meta.ts @@ -2692,7 +2692,89 @@ const GPT_6_SOL_PRO = { OpenAIMetadataOptions > +const GPT_6_1_SOL = { + name: 'gpt-6.1-sol', + context_window: 1_050_000, + max_output_tokens: 128_000, + supports: { + input: ['image', 'text'], + output: ['text'], + endpoints: ['chat', 'chat-completions'], + features: ['streaming', 'function_calling', 'structured_outputs'], + tools: [ + 'web_search', + 'web_search_preview', + 'file_search', + 'image_generation', + 'code_interpreter', + 'mcp', + 'computer_use', + 'local_shell', + 'shell', + 'apply_patch', + ], + }, + pricing: { + input: { + normal: 2, + cached: 0.1, + }, + output: { + normal: 10, + }, + }, +} as const satisfies ModelMeta< + OpenAIBaseOptions & + OpenAIReasoningOptions & + OpenAIStructuredOutputOptions & + OpenAIToolsOptions & + OpenAIStreamingOptions & + OpenAIMetadataOptions +> + +const GPT_6_1_SOL_PRO = { + name: 'gpt-6.1-sol-pro', + context_window: 1_050_000, + max_output_tokens: 128_000, + supports: { + input: ['image', 'text'], + output: ['text'], + endpoints: ['chat', 'chat-completions'], + features: ['streaming', 'function_calling', 'structured_outputs'], + tools: [ + 'web_search', + 'web_search_preview', + 'file_search', + 'image_generation', + 'code_interpreter', + 'mcp', + 'computer_use', + 'local_shell', + 'shell', + 'apply_patch', + ], + }, + pricing: { + input: { + normal: 2, + cached: 0.1, + }, + output: { + normal: 10, + }, + }, +} as const satisfies ModelMeta< + OpenAIBaseOptions & + OpenAIReasoningOptions & + OpenAIStructuredOutputOptions & + OpenAIToolsOptions & + OpenAIStreamingOptions & + OpenAIMetadataOptions +> + export const OPENAI_CHAT_MODELS = [ + GPT_6_1_SOL.name, + GPT_6_1_SOL_PRO.name, GPT_6_LUNA.name, GPT_6_LUNA_PRO.name, GPT_6_SOL.name, @@ -3175,6 +3257,18 @@ export type OpenAIChatModelProviderOptionsByName = { OpenAIToolsOptions & OpenAIStreamingOptions & OpenAIMetadataOptions + [GPT_6_1_SOL.name]: OpenAIBaseOptions & + OpenAIReasoningOptions & + OpenAIStructuredOutputOptions & + OpenAIToolsOptions & + OpenAIStreamingOptions & + OpenAIMetadataOptions + [GPT_6_1_SOL_PRO.name]: OpenAIBaseOptions & + OpenAIReasoningOptions & + OpenAIStructuredOutputOptions & + OpenAIToolsOptions & + OpenAIStreamingOptions & + OpenAIMetadataOptions } /** @@ -3237,6 +3331,8 @@ export type OpenAIChatModelToolCapabilitiesByName = { [GPT_6_LUNA_PRO.name]: typeof GPT_6_LUNA_PRO.supports.tools [GPT_6_SOL.name]: typeof GPT_6_SOL.supports.tools [GPT_6_SOL_PRO.name]: typeof GPT_6_SOL_PRO.supports.tools + [GPT_6_1_SOL.name]: typeof GPT_6_1_SOL.supports.tools + [GPT_6_1_SOL_PRO.name]: typeof GPT_6_1_SOL_PRO.supports.tools } /** @@ -3311,4 +3407,6 @@ export type OpenAIModelInputModalitiesByName = { [GPT_6_LUNA_PRO.name]: typeof GPT_6_LUNA_PRO.supports.input [GPT_6_SOL.name]: typeof GPT_6_SOL.supports.input [GPT_6_SOL_PRO.name]: typeof GPT_6_SOL_PRO.supports.input + [GPT_6_1_SOL.name]: typeof GPT_6_1_SOL.supports.input + [GPT_6_1_SOL_PRO.name]: typeof GPT_6_1_SOL_PRO.supports.input } diff --git a/packages/ai-openrouter/src/model-meta.ts b/packages/ai-openrouter/src/model-meta.ts index 9ccd8a57af..abb02eab38 100644 --- a/packages/ai-openrouter/src/model-meta.ts +++ b/packages/ai-openrouter/src/model-meta.ts @@ -110,6 +110,7 @@ const _ANTHROPIC_CLAUDE_SONNET_LATEST = { 'reasoning', 'responseFormat', 'stop', + 'temperature', 'toolChoice', ], }, @@ -155,11 +156,11 @@ const _DEEPSEEK_DEEPSEEK_FLASH_LATEST = { pricing: { text: { input: { - normal: 0.04, - cached: 0.01, + normal: 0.02, + cached: 0.02, }, output: { - normal: 0.49, + normal: 0.6, }, }, image: 0, @@ -188,15 +189,15 @@ const _DEEPSEEK_DEEPSEEK_PRO_LATEST = { ], }, context_window: 1048576, - max_output_tokens: 943718, + max_output_tokens: 393216, pricing: { text: { input: { - normal: 0.2528, - cached: 0.08832, + normal: 0.15, + cached: 0.15, }, output: { - normal: 2.88, + normal: 3.5, }, }, image: 0, @@ -225,16 +226,16 @@ const _DEEPSEEK_DEEPSEEK_V4_FLASH_LATEST = { 'topP', ], }, - context_window: 1310720, + context_window: 1048576, max_output_tokens: 943718, pricing: { text: { input: { - normal: 0.03, - cached: 0.016, + normal: 0.01, + cached: 0.01, }, output: { - normal: 0.32, + normal: 1.28, }, }, image: 0, @@ -331,11 +332,11 @@ const _MOONSHOTAI_KIMI_LATEST = { pricing: { text: { input: { - normal: 0.8845, - cached: 0.33, + normal: 0.4, + cached: 0.4, }, output: { - normal: 10.5346, + normal: 9, }, }, image: 0, @@ -452,7 +453,7 @@ const _OPENAI_GPT_SOL_LATEST = { text: { input: { normal: 2, - cached: 2.7, + cached: 2.6, }, output: { normal: 10, @@ -514,11 +515,11 @@ const _X_AI_GROK_LATEST = { pricing: { text: { input: { - normal: 1.6, - cached: 0.4, + normal: 2, + cached: 0.5, }, output: { - normal: 4.8, + normal: 6, }, }, image: 0, @@ -547,16 +548,16 @@ const _Z_AI_GLM_FLASH_LATEST = { 'topP', ], }, - context_window: 1310720, - max_output_tokens: 128000, + context_window: 1048576, + max_output_tokens: 943718, pricing: { text: { input: { - normal: 0.045, + normal: 0.02, cached: 0.01, }, output: { - normal: 0.14, + normal: 0.3, }, }, image: 0, @@ -585,16 +586,16 @@ const _Z_AI_GLM_LATEST = { 'topP', ], }, - context_window: 1310720, + context_window: 1048576, max_output_tokens: 131072, pricing: { text: { input: { - normal: 0.5614, - cached: 0.10426, + normal: 0.13, + cached: 0.13, }, output: { - normal: 1.7644, + normal: 4, }, }, image: 0, @@ -930,35 +931,6 @@ const ANTHRACITE_ORG_MAGNUM_V4_72B = { image: 0, }, } as const -const ANTHROPIC_CLAUDE_3_HAIKU = { - id: 'anthropic/claude-3-haiku', - name: 'Anthropic: Claude 3 Haiku', - supports: { - input: ['text', 'image'], - output: ['text'], - supports: [ - 'maxCompletionTokens', - 'stop', - 'temperature', - 'toolChoice', - 'topP', - ], - }, - context_window: 200000, - max_output_tokens: 4096, - pricing: { - text: { - input: { - normal: 0.25, - cached: 0.32999999999999996, - }, - output: { - normal: 1.25, - }, - }, - image: 0, - }, -} as const const ANTHROPIC_CLAUDE_FABLE_5 = { id: 'anthropic/claude-fable-5', name: 'Anthropic: Claude Fable 5', @@ -1778,6 +1750,66 @@ const ANTHROPIC_CLAUDE_SONNET_5_BATCH = { image: 0, }, } as const +const ANTHROPIC_CLAUDE_SONNET_5_5 = { + id: 'anthropic/claude-sonnet-5.5', + name: 'Anthropic: Claude Sonnet 5.5', + supports: { + input: ['text', 'image', 'document'], + output: ['text'], + supports: [ + 'maxCompletionTokens', + 'maxCompletionTokens', + 'reasoning', + 'responseFormat', + 'stop', + 'temperature', + 'toolChoice', + ], + }, + context_window: 1000000, + max_output_tokens: 128000, + pricing: { + text: { + input: { + normal: 2, + cached: 2.7, + }, + output: { + normal: 10, + }, + }, + image: 0, + }, +} as const +const ANTHROPIC_CLAUDE_SONNET_5_5_BATCH = { + id: 'anthropic/claude-sonnet-5.5:batch', + name: 'Anthropic: Claude Sonnet 5.5 (batch)', + supports: { + input: ['text', 'image', 'document'], + output: ['text'], + supports: [ + 'maxCompletionTokens', + 'reasoning', + 'responseFormat', + 'stop', + 'toolChoice', + ], + }, + context_window: 1000000, + max_output_tokens: 128000, + pricing: { + text: { + input: { + normal: 1, + cached: 1.35, + }, + output: { + normal: 5, + }, + }, + image: 0, + }, +} as const const ARCEE_AI_TRINITY_LARGE_THINKING = { id: 'arcee-ai/trinity-large-thinking', name: 'Arcee AI: Trinity Large Thinking', @@ -2312,15 +2344,15 @@ const DEEPSEEK_DEEPSEEK_CHAT = { ], }, context_window: 163840, - max_output_tokens: 16384, + max_output_tokens: 16000, pricing: { text: { input: { - normal: 0.32, + normal: 0.2574, cached: 0, }, output: { - normal: 0.89, + normal: 1.0287, }, }, image: 0, @@ -2334,13 +2366,10 @@ const DEEPSEEK_DEEPSEEK_CHAT_V3_0324 = { output: ['text'], supports: [ 'frequencyPenalty', - 'logitBias', 'logprobs', 'maxCompletionTokens', - 'presencePenalty', 'responseFormat', 'seed', - 'stop', 'temperature', 'toolChoice', 'topLogprobs', @@ -2352,11 +2381,11 @@ const DEEPSEEK_DEEPSEEK_CHAT_V3_0324 = { pricing: { text: { input: { - normal: 0.25, - cached: 0, + normal: 0.29, + cached: 0.11, }, output: { - normal: 1, + normal: 1.14, }, }, image: 0, @@ -2470,38 +2499,6 @@ const DEEPSEEK_DEEPSEEK_R1_0528 = { image: 0, }, } as const -const DEEPSEEK_DEEPSEEK_R1_DISTILL_LLAMA_70B = { - id: 'deepseek/deepseek-r1-distill-llama-70b', - name: 'DeepSeek: R1 Distill Llama 70B', - supports: { - input: ['text'], - output: ['text'], - supports: [ - 'frequencyPenalty', - 'maxCompletionTokens', - 'presencePenalty', - 'reasoning', - 'seed', - 'stop', - 'temperature', - 'topP', - ], - }, - context_window: 8192, - max_output_tokens: 7372, - pricing: { - text: { - input: { - normal: 0.8, - cached: 0, - }, - output: { - normal: 0.8, - }, - }, - image: 0, - }, -} as const const DEEPSEEK_DEEPSEEK_V3_1_TERMINUS = { id: 'deepseek/deepseek-v3.1-terminus', name: 'DeepSeek: DeepSeek V3.1 Terminus', @@ -2523,11 +2520,11 @@ const DEEPSEEK_DEEPSEEK_V3_1_TERMINUS = { ], }, context_window: 163840, - max_output_tokens: 32768, + max_output_tokens: 65536, pricing: { text: { input: { - normal: 0.27, + normal: 0.3, cached: 0.135, }, output: { @@ -2564,11 +2561,11 @@ const DEEPSEEK_DEEPSEEK_V3_2 = { pricing: { text: { input: { - normal: 0.269, - cached: 0.1345, + normal: 0.28, + cached: 0.028, }, output: { - normal: 0.4, + normal: 0.42, }, }, image: 0, @@ -2597,7 +2594,7 @@ const DEEPSEEK_DEEPSEEK_V3_2_EXP = { ], }, context_window: 163840, - max_output_tokens: 65536, + max_output_tokens: 147456, pricing: { text: { input: { @@ -2635,15 +2632,15 @@ const DEEPSEEK_DEEPSEEK_V4_FLASH = { ], }, context_window: 1048576, - max_output_tokens: 384000, + max_output_tokens: 131072, pricing: { text: { input: { - normal: 0.049, - cached: 0.0098, + normal: 0.14, + cached: 0.028, }, output: { - normal: 0.098, + normal: 0.28, }, }, image: 0, @@ -2672,16 +2669,16 @@ const DEEPSEEK_DEEPSEEK_V4_FLASH_0731 = { 'topP', ], }, - context_window: 1310720, + context_window: 1048576, max_output_tokens: 943718, pricing: { text: { input: { - normal: 0.03, - cached: 0.016, + normal: 0.01, + cached: 0.01, }, output: { - normal: 0.32, + normal: 1.28, }, }, image: 0, @@ -2710,15 +2707,15 @@ const DEEPSEEK_DEEPSEEK_V4_FLASH_VISION_EXP = { ], }, context_window: 1048576, - max_output_tokens: 943718, + max_output_tokens: 262144, pricing: { text: { input: { - normal: 0.22, - cached: 0.007, + normal: 0.2156, + cached: 0.00686, }, output: { - normal: 0.66, + normal: 0.6468, }, }, image: 0, @@ -2752,11 +2749,11 @@ const DEEPSEEK_DEEPSEEK_V4_PRO = { pricing: { text: { input: { - normal: 0.783, - cached: 0.06525, + normal: 0.95526, + cached: 0.079605, }, output: { - normal: 1.566, + normal: 1.91052, }, }, image: 0, @@ -2785,15 +2782,15 @@ const DEEPSEEK_DEEPSEEK_V4_PRO_0813 = { ], }, context_window: 1048576, - max_output_tokens: 384000, + max_output_tokens: 393216, pricing: { text: { input: { - normal: 0.462, - cached: 0.0154, + normal: 1.32, + cached: 0.044, }, output: { - normal: 1.386, + normal: 3.96, }, }, image: 0, @@ -2822,15 +2819,15 @@ const DEEPSEEK_DEEPSEEK_V4_1_FLASH = { ], }, context_window: 1048576, - max_output_tokens: 393216, + max_output_tokens: 943718, pricing: { text: { input: { - normal: 0.15, - cached: 0.003, + normal: 0.3, + cached: 0.006, }, output: { - normal: 0.6, + normal: 1.2, }, }, image: 0, @@ -4452,6 +4449,7 @@ const INCLUSIONAI_LING_3_0_FLASH_FIN = { supports: [ 'frequencyPenalty', 'logitBias', + 'logprobs', 'maxCompletionTokens', 'presencePenalty', 'reasoning', @@ -4459,6 +4457,7 @@ const INCLUSIONAI_LING_3_0_FLASH_FIN = { 'stop', 'temperature', 'toolChoice', + 'topLogprobs', 'topP', ], }, @@ -4477,41 +4476,6 @@ const INCLUSIONAI_LING_3_0_FLASH_FIN = { image: 0, }, } as const -const INCLUSIONAI_LING_3_0_FLASH_FIN_FREE = { - id: 'inclusionai/ling-3.0-flash-fin:free', - name: 'inclusionAI: Ling 3.0 Flash Fin (free)', - supports: { - input: ['text'], - output: ['text'], - supports: [ - 'frequencyPenalty', - 'logprobs', - 'maxCompletionTokens', - 'presencePenalty', - 'reasoning', - 'seed', - 'stop', - 'temperature', - 'toolChoice', - 'topLogprobs', - 'topP', - ], - }, - context_window: 262144, - max_output_tokens: 32768, - pricing: { - text: { - input: { - normal: 0, - cached: 0, - }, - output: { - normal: 0, - }, - }, - image: 0, - }, -} as const const INCLUSIONAI_LING_3_0_FLASH_SANTE_FREE = { id: 'inclusionai/ling-3.0-flash-sante:free', name: 'inclusionAI: Ling 3.0 Flash Sante (free)', @@ -4574,11 +4538,11 @@ const INCLUSIONAI_LING_3_0_FLASH_VL = { pricing: { text: { input: { - normal: 0.06, - cached: 0.012, + normal: 0.021, + cached: 0.0042, }, output: { - normal: 0.18, + normal: 0.0616, }, }, image: 0, @@ -5073,7 +5037,6 @@ const META_MUSE_GLIMMER_30B = { supports: [ 'frequencyPenalty', 'logitBias', - 'logprobs', 'maxCompletionTokens', 'presencePenalty', 'reasoning', @@ -5082,20 +5045,19 @@ const META_MUSE_GLIMMER_30B = { 'stop', 'temperature', 'toolChoice', - 'topLogprobs', 'topP', ], }, context_window: 131072, - max_output_tokens: 16384, + max_output_tokens: 117964, pricing: { text: { input: { - normal: 0.3, + normal: 0.35, cached: 0.04, }, output: { - normal: 1.2, + normal: 1.5, }, }, image: 0, @@ -5105,7 +5067,7 @@ const META_MUSE_SPARK_1_1 = { id: 'meta/muse-spark-1.1', name: 'Meta: Muse Spark 1.1', supports: { - input: ['text', 'image', 'video', 'document', 'audio'], + input: ['text', 'image', 'video', 'document'], output: ['text'], supports: [ 'maxCompletionTokens', @@ -5135,7 +5097,7 @@ const META_MUSE_SPARK_1_2 = { id: 'meta/muse-spark-1.2', name: 'Meta: Muse Spark 1.2', supports: { - input: ['text', 'image', 'video', 'document', 'audio'], + input: ['text', 'image', 'video', 'document'], output: ['text'], supports: [ 'maxCompletionTokens', @@ -5165,7 +5127,7 @@ const META_MUSE_SPARK_1_2_CONTRIBUTOR = { id: 'meta/muse-spark-1.2-contributor', name: 'Meta: Muse Spark 1.2 Contributor', supports: { - input: ['text', 'image', 'video', 'document', 'audio'], + input: ['text', 'image', 'video', 'document'], output: ['text'], supports: [ 'maxCompletionTokens', @@ -5195,7 +5157,7 @@ const META_MUSE_SPARK_1_3 = { id: 'meta/muse-spark-1.3', name: 'Meta: Muse Spark 1.3', supports: { - input: ['text', 'image', 'video', 'document', 'audio'], + input: ['text', 'image', 'video', 'document'], output: ['text'], supports: [ 'maxCompletionTokens', @@ -5225,7 +5187,7 @@ const META_MUSE_SPARK_1_3_CONTRIBUTOR = { id: 'meta/muse-spark-1.3-contributor', name: 'Meta: Muse Spark 1.3 Contributor', supports: { - input: ['text', 'image', 'video', 'document', 'audio'], + input: ['text', 'image', 'video', 'document'], output: ['text'], supports: [ 'maxCompletionTokens', @@ -5525,15 +5487,15 @@ const MINIMAX_MINIMAX_M2_7 = { ], }, context_window: 204800, - max_output_tokens: 131072, + max_output_tokens: 176947, pricing: { text: { input: { - normal: 0.3, - cached: 0.06, + normal: 0.21, + cached: 0.042, }, output: { - normal: 1.2, + normal: 0.84, }, }, image: 0, @@ -6579,11 +6541,11 @@ const MOONSHOTAI_KIMI_K2_6 = { pricing: { text: { input: { - normal: 0.95, - cached: 0.16, + normal: 0.65, + cached: 0.15, }, output: { - normal: 4, + normal: 3.41, }, }, image: 0, @@ -6617,11 +6579,11 @@ const MOONSHOTAI_KIMI_K2_7_CODE = { pricing: { text: { input: { - normal: 0.6562, + normal: 0.6712, cached: 0.18, }, output: { - normal: 3.3, + normal: 3.35, }, }, image: 0, @@ -6752,9 +6714,9 @@ const MORPH_MORPH_V3_LARGE = { image: 0, }, } as const -const NEX_AGI_NEX_N2_5_MINI_FREE = { - id: 'nex-agi/nex-n2.5-mini:free', - name: 'Nex AGI: Nex-N2.5-Mini (free)', +const NEX_AGI_NEX_N2_5_MINI = { + id: 'nex-agi/nex-n2.5-mini', + name: 'Nex AGI: Nex-N2.5-Mini', supports: { input: ['text', 'image'], output: ['text'], @@ -6762,9 +6724,7 @@ const NEX_AGI_NEX_N2_5_MINI_FREE = { 'logprobs', 'maxCompletionTokens', 'reasoning', - 'responseFormat', 'temperature', - 'toolChoice', 'topLogprobs', 'topP', ], @@ -6774,19 +6734,19 @@ const NEX_AGI_NEX_N2_5_MINI_FREE = { pricing: { text: { input: { - normal: 0, - cached: 0, + normal: 0.025, + cached: 0.0025, }, output: { - normal: 0, + normal: 0.1, }, }, image: 0, }, } as const -const NEX_AGI_NEX_N2_5_PRO_FREE = { - id: 'nex-agi/nex-n2.5-pro:free', - name: 'Nex AGI: Nex-N2.5-Pro (free)', +const NEX_AGI_NEX_N2_5_PRO = { + id: 'nex-agi/nex-n2.5-pro', + name: 'Nex AGI: Nex-N2.5-Pro', supports: { input: ['text', 'image'], output: ['text'], @@ -6794,7 +6754,6 @@ const NEX_AGI_NEX_N2_5_PRO_FREE = { 'logprobs', 'maxCompletionTokens', 'reasoning', - 'responseFormat', 'temperature', 'toolChoice', 'topLogprobs', @@ -6806,11 +6765,11 @@ const NEX_AGI_NEX_N2_5_PRO_FREE = { pricing: { text: { input: { - normal: 0, - cached: 0, + normal: 0.075, + cached: 0.015, }, output: { - normal: 0, + normal: 0.25, }, }, image: 0, @@ -7197,15 +7156,15 @@ const NVIDIA_NEMOTRON_3_5_LIGHTNING = { ], }, context_window: 262144, - max_output_tokens: 131072, + max_output_tokens: 32768, pricing: { text: { input: { - normal: 0.08, - cached: 0.04, + normal: 0.06, + cached: 0.03, }, output: { - normal: 0.2, + normal: 0.16, }, }, image: 0, @@ -9212,11 +9171,11 @@ const OPENAI_GPT_5_6_SOL_PRO = { pricing: { text: { input: { - normal: 2, - cached: 2.7, + normal: 4, + cached: 5.4, }, output: { - normal: 10, + normal: 20, }, }, image: 0, @@ -9743,7 +9702,125 @@ const OPENAI_GPT_6_SOL_BATCH = { text: { input: { normal: 1, - cached: 1.35, + cached: 1.35, + }, + output: { + normal: 5, + }, + }, + image: 0, + }, +} as const +const OPENAI_GPT_6_1_SOL = { + id: 'openai/gpt-6.1-sol', + name: 'OpenAI: GPT-6.1 Sol', + supports: { + input: ['document', 'image', 'text'], + output: ['text'], + supports: [ + 'maxCompletionTokens', + 'maxCompletionTokens', + 'reasoning', + 'responseFormat', + 'seed', + 'toolChoice', + ], + }, + context_window: 1050000, + max_output_tokens: 128000, + pricing: { + text: { + input: { + normal: 2, + cached: 2.6, + }, + output: { + normal: 10, + }, + }, + image: 0, + }, +} as const +const OPENAI_GPT_6_1_SOL_PRO = { + id: 'openai/gpt-6.1-sol-pro', + name: 'OpenAI: GPT-6.1 Sol Pro', + supports: { + input: ['document', 'image', 'text'], + output: ['text'], + supports: [ + 'maxCompletionTokens', + 'maxCompletionTokens', + 'reasoning', + 'responseFormat', + 'seed', + 'toolChoice', + ], + }, + context_window: 1050000, + max_output_tokens: 128000, + pricing: { + text: { + input: { + normal: 2, + cached: 2.6, + }, + output: { + normal: 10, + }, + }, + image: 0, + }, +} as const +const OPENAI_GPT_6_1_SOL_PRO_BATCH = { + id: 'openai/gpt-6.1-sol-pro:batch', + name: 'OpenAI: GPT-6.1 Sol Pro (batch)', + supports: { + input: ['document', 'image', 'text'], + output: ['text'], + supports: [ + 'maxCompletionTokens', + 'reasoning', + 'responseFormat', + 'seed', + 'toolChoice', + ], + }, + context_window: 1050000, + max_output_tokens: 128000, + pricing: { + text: { + input: { + normal: 1, + cached: 1.3, + }, + output: { + normal: 5, + }, + }, + image: 0, + }, +} as const +const OPENAI_GPT_6_1_SOL_BATCH = { + id: 'openai/gpt-6.1-sol:batch', + name: 'OpenAI: GPT-6.1 Sol (batch)', + supports: { + input: ['document', 'image', 'text'], + output: ['text'], + supports: [ + 'maxCompletionTokens', + 'reasoning', + 'responseFormat', + 'seed', + 'toolChoice', + ], + }, + context_window: 1050000, + max_output_tokens: 128000, + pricing: { + text: { + input: { + normal: 1, + cached: 1.3, }, output: { normal: 5, @@ -9870,15 +9947,15 @@ const OPENAI_GPT_OSS_120B = { ], }, context_window: 131072, - max_output_tokens: 65536, + max_output_tokens: 117964, pricing: { text: { input: { - normal: 0.15, - cached: 0.075, + normal: 0.037, + cached: 0, }, output: { - normal: 0.6, + normal: 0.17, }, }, image: 0, @@ -9947,7 +10024,7 @@ const OPENAI_GPT_OSS_20B = { text: { input: { normal: 0.018, - cached: 0, + cached: 0.009, }, output: { normal: 0.09, @@ -10366,6 +10443,37 @@ const PERCEPTRON_PERCEPTRON_MK1 = { image: 0, }, } as const +const PERCEPTRON_PERCEPTRON_MK1_5 = { + id: 'perceptron/perceptron-mk1.5', + name: 'Perceptron: Perceptron Mk1.5', + supports: { + input: ['text', 'image', 'video', 'audio'], + output: ['text'], + supports: [ + 'frequencyPenalty', + 'maxCompletionTokens', + 'presencePenalty', + 'reasoning', + 'temperature', + 'toolChoice', + 'topP', + ], + }, + context_window: 36864, + max_output_tokens: 8192, + pricing: { + text: { + input: { + normal: 0.15, + cached: 0, + }, + output: { + normal: 1.5, + }, + }, + image: 0, + }, +} as const const PERPLEXITY_SONAR = { id: 'perplexity/sonar', name: 'Perplexity: Sonar', @@ -10633,7 +10741,7 @@ const PRISM_ML_TERNARY_BONSAI_2_27B = { text: { input: { normal: 0.075, - cached: 0, + cached: 0.0375, }, output: { normal: 0.5, @@ -11011,15 +11119,15 @@ const QWEN_QWEN3_30B_A3B = { ], }, context_window: 131072, - max_output_tokens: 16384, + max_output_tokens: 8192, pricing: { text: { input: { - normal: 0.12, + normal: 0.13, cached: 0, }, output: { - normal: 0.5, + normal: 0.52, }, }, image: 0, @@ -11047,15 +11155,15 @@ const QWEN_QWEN3_30B_A3B_INSTRUCT_2507 = { ], }, context_window: 262144, - max_output_tokens: 235929, + max_output_tokens: 32000, pricing: { text: { input: { - normal: 0.1, + normal: 0.04815, cached: 0, }, output: { - normal: 0.3, + normal: 0.19305, }, }, image: 0, @@ -11832,15 +11940,15 @@ const QWEN_QWEN3_5_35B_A3B = { ], }, context_window: 262144, - max_output_tokens: 16384, + max_output_tokens: 65536, pricing: { text: { input: { - normal: 0.3125, - cached: 0.15625, + normal: 0.1625, + cached: 0, }, output: { - normal: 1.25, + normal: 1.3, }, }, image: 0, @@ -12049,15 +12157,15 @@ const QWEN_QWEN3_6_27B = { ], }, context_window: 262144, - max_output_tokens: 262140, + max_output_tokens: 81920, pricing: { text: { input: { normal: 0.32, - cached: 0.15, + cached: 0, }, output: { - normal: 2.7, + normal: 3.2, }, }, image: 0, @@ -13167,6 +13275,7 @@ const TENCENT_HY4_PREVIEW = { output: ['text'], supports: [ 'frequencyPenalty', + 'logitBias', 'maxCompletionTokens', 'maxCompletionTokens', 'presencePenalty', @@ -13317,7 +13426,7 @@ const THINKINGMACHINES_INKLING = { 'topP', ], }, - context_window: 1048576, + context_window: 524288, max_output_tokens: 471859, pricing: { text: { @@ -13351,7 +13460,7 @@ const THINKINGMACHINES_INKLING_SMALL = { 'topP', ], }, - context_window: 1048576, + context_window: 524288, max_output_tokens: 262144, pricing: { text: { @@ -13436,7 +13545,13 @@ const UNBIASED_PARETO = { supports: { input: ['text', 'image'], output: ['text'], - supports: ['maxCompletionTokens', 'temperature', 'toolChoice', 'topP'], + supports: [ + 'maxCompletionTokens', + 'responseFormat', + 'temperature', + 'toolChoice', + 'topP', + ], }, context_window: 262144, max_output_tokens: 131072, @@ -13831,11 +13946,11 @@ const X_AI_GROK_4_7 = { pricing: { text: { input: { - normal: 1.6, - cached: 0.4, + normal: 2, + cached: 0.5, }, output: { - normal: 4.8, + normal: 6, }, }, image: 0, @@ -13882,7 +13997,6 @@ const XIAOMI_MIMO_V2_5 = { output: ['text'], supports: [ 'frequencyPenalty', - 'logitBias', 'maxCompletionTokens', 'presencePenalty', 'reasoning', @@ -13917,7 +14031,6 @@ const XIAOMI_MIMO_V2_5_PRO = { output: ['text'], supports: [ 'frequencyPenalty', - 'logitBias', 'logprobs', 'maxCompletionTokens', 'presencePenalty', @@ -14001,7 +14114,7 @@ const XIAOMI_MIMO_V2_6_PRO = { 'topP', ], }, - context_window: 1048576, + context_window: 1050000, max_output_tokens: 131072, pricing: { text: { @@ -14380,11 +14493,11 @@ const Z_AI_GLM_5_1 = { pricing: { text: { input: { - normal: 0.9646, - cached: 0.17914, + normal: 1.4, + cached: 0.26, }, output: { - normal: 3.0316, + normal: 4.4, }, }, image: 0, @@ -14414,47 +14527,15 @@ const Z_AI_GLM_5_2 = { ], }, context_window: 1048576, - max_output_tokens: 131072, - pricing: { - text: { - input: { - normal: 0.6496, - cached: 0.12064, - }, - output: { - normal: 2.0416, - }, - }, - image: 0, - }, -} as const -const Z_AI_GLM_5_2_FREE = { - id: 'z-ai/glm-5.2:free', - name: 'Z.ai: GLM 5.2 (free)', - supports: { - input: ['text'], - output: ['text'], - supports: [ - 'frequencyPenalty', - 'maxCompletionTokens', - 'presencePenalty', - 'reasoning', - 'seed', - 'stop', - 'temperature', - 'topP', - ], - }, - context_window: 32768, - max_output_tokens: 29491, + max_output_tokens: 943718, pricing: { text: { input: { - normal: 0, - cached: 0, + normal: 0.36, + cached: 0.26, }, output: { - normal: 0, + normal: 3.99, }, }, image: 0, @@ -14483,7 +14564,7 @@ const Z_AI_GLM_5_3 = { 'topP', ], }, - context_window: 1310720, + context_window: 1048576, max_output_tokens: 943717, pricing: { text: { @@ -14521,16 +14602,16 @@ const Z_AI_GLM_5_3_FLASH = { 'topP', ], }, - context_window: 1310720, - max_output_tokens: 128000, + context_window: 1048576, + max_output_tokens: 943717, pricing: { text: { input: { - normal: 0.045, - cached: 0.01, + normal: 0.15, + cached: 0.03, }, output: { - normal: 0.14, + normal: 0.5, }, }, image: 0, @@ -14745,6 +14826,7 @@ export type OpenRouterModelOptionsByName = { | 'reasoning' | 'responseFormat' | 'stop' + | 'temperature' | 'toolChoice' > [_DEEPSEEK_DEEPSEEK_FLASH_LATEST.id]: OpenRouterCommonOptions & @@ -15036,11 +15118,6 @@ export type OpenRouterModelOptionsByName = { | 'topLogprobs' | 'topP' > - [ANTHROPIC_CLAUDE_3_HAIKU.id]: OpenRouterCommonOptions & - Pick< - OpenRouterBaseOptions, - 'maxCompletionTokens' | 'stop' | 'temperature' | 'toolChoice' | 'topP' - > [ANTHROPIC_CLAUDE_FABLE_5.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, @@ -15320,6 +15397,26 @@ export type OpenRouterModelOptionsByName = { | 'stop' | 'toolChoice' > + [ANTHROPIC_CLAUDE_SONNET_5_5.id]: OpenRouterCommonOptions & + Pick< + OpenRouterBaseOptions, + | 'maxCompletionTokens' + | 'maxCompletionTokens' + | 'reasoning' + | 'responseFormat' + | 'stop' + | 'temperature' + | 'toolChoice' + > + [ANTHROPIC_CLAUDE_SONNET_5_5_BATCH.id]: OpenRouterCommonOptions & + Pick< + OpenRouterBaseOptions, + | 'maxCompletionTokens' + | 'reasoning' + | 'responseFormat' + | 'stop' + | 'toolChoice' + > [ARCEE_AI_TRINITY_LARGE_THINKING.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, @@ -15532,13 +15629,10 @@ export type OpenRouterModelOptionsByName = { Pick< OpenRouterBaseOptions, | 'frequencyPenalty' - | 'logitBias' | 'logprobs' | 'maxCompletionTokens' - | 'presencePenalty' | 'responseFormat' | 'seed' - | 'stop' | 'temperature' | 'toolChoice' | 'topLogprobs' @@ -15592,18 +15686,6 @@ export type OpenRouterModelOptionsByName = { | 'topLogprobs' | 'topP' > - [DEEPSEEK_DEEPSEEK_R1_DISTILL_LLAMA_70B.id]: OpenRouterCommonOptions & - Pick< - OpenRouterBaseOptions, - | 'frequencyPenalty' - | 'maxCompletionTokens' - | 'presencePenalty' - | 'reasoning' - | 'seed' - | 'stop' - | 'temperature' - | 'topP' - > [DEEPSEEK_DEEPSEEK_V3_1_TERMINUS.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, @@ -16362,19 +16444,6 @@ export type OpenRouterModelOptionsByName = { OpenRouterBaseOptions, | 'frequencyPenalty' | 'logitBias' - | 'maxCompletionTokens' - | 'presencePenalty' - | 'reasoning' - | 'seed' - | 'stop' - | 'temperature' - | 'toolChoice' - | 'topP' - > - [INCLUSIONAI_LING_3_0_FLASH_FIN_FREE.id]: OpenRouterCommonOptions & - Pick< - OpenRouterBaseOptions, - | 'frequencyPenalty' | 'logprobs' | 'maxCompletionTokens' | 'presencePenalty' @@ -16623,7 +16692,6 @@ export type OpenRouterModelOptionsByName = { OpenRouterBaseOptions, | 'frequencyPenalty' | 'logitBias' - | 'logprobs' | 'maxCompletionTokens' | 'presencePenalty' | 'reasoning' @@ -16632,7 +16700,6 @@ export type OpenRouterModelOptionsByName = { | 'stop' | 'temperature' | 'toolChoice' - | 'topLogprobs' | 'topP' > [META_MUSE_SPARK_1_1.id]: OpenRouterCommonOptions & @@ -17283,25 +17350,22 @@ export type OpenRouterModelOptionsByName = { | 'temperature' | 'topLogprobs' > - [NEX_AGI_NEX_N2_5_MINI_FREE.id]: OpenRouterCommonOptions & + [NEX_AGI_NEX_N2_5_MINI.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, | 'logprobs' | 'maxCompletionTokens' | 'reasoning' - | 'responseFormat' | 'temperature' - | 'toolChoice' | 'topLogprobs' | 'topP' > - [NEX_AGI_NEX_N2_5_PRO_FREE.id]: OpenRouterCommonOptions & + [NEX_AGI_NEX_N2_5_PRO.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, | 'logprobs' | 'maxCompletionTokens' | 'reasoning' - | 'responseFormat' | 'temperature' | 'toolChoice' | 'topLogprobs' @@ -18361,6 +18425,44 @@ export type OpenRouterModelOptionsByName = { | 'seed' | 'toolChoice' > + [OPENAI_GPT_6_1_SOL.id]: OpenRouterCommonOptions & + Pick< + OpenRouterBaseOptions, + | 'maxCompletionTokens' + | 'maxCompletionTokens' + | 'reasoning' + | 'responseFormat' + | 'seed' + | 'toolChoice' + > + [OPENAI_GPT_6_1_SOL_PRO.id]: OpenRouterCommonOptions & + Pick< + OpenRouterBaseOptions, + | 'maxCompletionTokens' + | 'maxCompletionTokens' + | 'reasoning' + | 'responseFormat' + | 'seed' + | 'toolChoice' + > + [OPENAI_GPT_6_1_SOL_PRO_BATCH.id]: OpenRouterCommonOptions & + Pick< + OpenRouterBaseOptions, + | 'maxCompletionTokens' + | 'reasoning' + | 'responseFormat' + | 'seed' + | 'toolChoice' + > + [OPENAI_GPT_6_1_SOL_BATCH.id]: OpenRouterCommonOptions & + Pick< + OpenRouterBaseOptions, + | 'maxCompletionTokens' + | 'reasoning' + | 'responseFormat' + | 'seed' + | 'toolChoice' + > [OPENAI_GPT_AUDIO.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, @@ -18579,6 +18681,17 @@ export type OpenRouterModelOptionsByName = { | 'temperature' | 'topP' > + [PERCEPTRON_PERCEPTRON_MK1_5.id]: OpenRouterCommonOptions & + Pick< + OpenRouterBaseOptions, + | 'frequencyPenalty' + | 'maxCompletionTokens' + | 'presencePenalty' + | 'reasoning' + | 'temperature' + | 'toolChoice' + | 'topP' + > [PERPLEXITY_SONAR.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, @@ -19696,6 +19809,7 @@ export type OpenRouterModelOptionsByName = { Pick< OpenRouterBaseOptions, | 'frequencyPenalty' + | 'logitBias' | 'maxCompletionTokens' | 'maxCompletionTokens' | 'presencePenalty' @@ -19806,7 +19920,11 @@ export type OpenRouterModelOptionsByName = { [UNBIASED_PARETO.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, - 'maxCompletionTokens' | 'temperature' | 'toolChoice' | 'topP' + | 'maxCompletionTokens' + | 'responseFormat' + | 'temperature' + | 'toolChoice' + | 'topP' > [UNDI95_REMM_SLERP_L2_13B.id]: OpenRouterCommonOptions & Pick< @@ -19975,7 +20093,6 @@ export type OpenRouterModelOptionsByName = { Pick< OpenRouterBaseOptions, | 'frequencyPenalty' - | 'logitBias' | 'maxCompletionTokens' | 'presencePenalty' | 'reasoning' @@ -19990,7 +20107,6 @@ export type OpenRouterModelOptionsByName = { Pick< OpenRouterBaseOptions, | 'frequencyPenalty' - | 'logitBias' | 'logprobs' | 'maxCompletionTokens' | 'presencePenalty' @@ -20205,18 +20321,6 @@ export type OpenRouterModelOptionsByName = { | 'topLogprobs' | 'topP' > - [Z_AI_GLM_5_2_FREE.id]: OpenRouterCommonOptions & - Pick< - OpenRouterBaseOptions, - | 'frequencyPenalty' - | 'maxCompletionTokens' - | 'presencePenalty' - | 'reasoning' - | 'seed' - | 'stop' - | 'temperature' - | 'topP' - > [Z_AI_GLM_5_3.id]: OpenRouterCommonOptions & Pick< OpenRouterBaseOptions, @@ -20367,7 +20471,6 @@ export type OpenRouterModelInputModalitiesByName = { [AMAZON_NOVA_PREMIER_V1.id]: ReadonlyArray<'text' | 'image'> [AMAZON_NOVA_PRO_V1.id]: ReadonlyArray<'text' | 'image'> [ANTHRACITE_ORG_MAGNUM_V4_72B.id]: ReadonlyArray<'text'> - [ANTHROPIC_CLAUDE_3_HAIKU.id]: ReadonlyArray<'text' | 'image'> [ANTHROPIC_CLAUDE_FABLE_5.id]: ReadonlyArray<'text' | 'image' | 'document'> [ANTHROPIC_CLAUDE_FABLE_5_BATCH.id]: ReadonlyArray< 'text' | 'image' | 'document' @@ -20421,6 +20524,10 @@ export type OpenRouterModelInputModalitiesByName = { [ANTHROPIC_CLAUDE_SONNET_5_BATCH.id]: ReadonlyArray< 'text' | 'image' | 'document' > + [ANTHROPIC_CLAUDE_SONNET_5_5.id]: ReadonlyArray<'text' | 'image' | 'document'> + [ANTHROPIC_CLAUDE_SONNET_5_5_BATCH.id]: ReadonlyArray< + 'text' | 'image' | 'document' + > [ARCEE_AI_TRINITY_LARGE_THINKING.id]: ReadonlyArray<'text'> [BAIDU_ERNIE_4_5_VL_424B_A47B.id]: ReadonlyArray<'image' | 'text'> [BYTEDANCE_SEED_SEED_1_6.id]: ReadonlyArray<'image' | 'text' | 'video'> @@ -20442,7 +20549,6 @@ export type OpenRouterModelInputModalitiesByName = { [DEEPSEEK_DEEPSEEK_CHAT_V3_1.id]: ReadonlyArray<'text'> [DEEPSEEK_DEEPSEEK_R1.id]: ReadonlyArray<'text'> [DEEPSEEK_DEEPSEEK_R1_0528.id]: ReadonlyArray<'text'> - [DEEPSEEK_DEEPSEEK_R1_DISTILL_LLAMA_70B.id]: ReadonlyArray<'text'> [DEEPSEEK_DEEPSEEK_V3_1_TERMINUS.id]: ReadonlyArray<'text'> [DEEPSEEK_DEEPSEEK_V3_2.id]: ReadonlyArray<'text'> [DEEPSEEK_DEEPSEEK_V3_2_EXP.id]: ReadonlyArray<'text'> @@ -20553,7 +20659,6 @@ export type OpenRouterModelInputModalitiesByName = { [INCEPTION_MERCURY_2_5.id]: ReadonlyArray<'text'> [INCLUSIONAI_LING_3_0_FLASH.id]: ReadonlyArray<'text'> [INCLUSIONAI_LING_3_0_FLASH_FIN.id]: ReadonlyArray<'text'> - [INCLUSIONAI_LING_3_0_FLASH_FIN_FREE.id]: ReadonlyArray<'text'> [INCLUSIONAI_LING_3_0_FLASH_SANTE_FREE.id]: ReadonlyArray<'text'> [INCLUSIONAI_LING_3_0_FLASH_VL.id]: ReadonlyArray<'text' | 'image' | 'video'> [INFERENCE_NET_SCHEMATRON_V2_SMALL.id]: ReadonlyArray<'text'> @@ -20572,19 +20677,19 @@ export type OpenRouterModelInputModalitiesByName = { [META_LLAMA_LLAMA_GUARD_4_12B.id]: ReadonlyArray<'image' | 'text'> [META_MUSE_GLIMMER_30B.id]: ReadonlyArray<'text' | 'image'> [META_MUSE_SPARK_1_1.id]: ReadonlyArray< - 'text' | 'image' | 'video' | 'document' | 'audio' + 'text' | 'image' | 'video' | 'document' > [META_MUSE_SPARK_1_2.id]: ReadonlyArray< - 'text' | 'image' | 'video' | 'document' | 'audio' + 'text' | 'image' | 'video' | 'document' > [META_MUSE_SPARK_1_2_CONTRIBUTOR.id]: ReadonlyArray< - 'text' | 'image' | 'video' | 'document' | 'audio' + 'text' | 'image' | 'video' | 'document' > [META_MUSE_SPARK_1_3.id]: ReadonlyArray< - 'text' | 'image' | 'video' | 'document' | 'audio' + 'text' | 'image' | 'video' | 'document' > [META_MUSE_SPARK_1_3_CONTRIBUTOR.id]: ReadonlyArray< - 'text' | 'image' | 'video' | 'document' | 'audio' + 'text' | 'image' | 'video' | 'document' > [MICROSOFT_PHI_4.id]: ReadonlyArray<'text'> [MICROSOFT_WIZARDLM_2_8X22B.id]: ReadonlyArray<'text'> @@ -20645,8 +20750,8 @@ export type OpenRouterModelInputModalitiesByName = { [MOONSHOTAI_KIMI_K3_BATCH.id]: ReadonlyArray<'text' | 'image' | 'video'> [MORPH_MORPH_V3_FAST.id]: ReadonlyArray<'text'> [MORPH_MORPH_V3_LARGE.id]: ReadonlyArray<'text'> - [NEX_AGI_NEX_N2_5_MINI_FREE.id]: ReadonlyArray<'text' | 'image'> - [NEX_AGI_NEX_N2_5_PRO_FREE.id]: ReadonlyArray<'text' | 'image'> + [NEX_AGI_NEX_N2_5_MINI.id]: ReadonlyArray<'text' | 'image'> + [NEX_AGI_NEX_N2_5_PRO.id]: ReadonlyArray<'text' | 'image'> [NOUSRESEARCH_HERMES_3_LLAMA_3_1_405B.id]: ReadonlyArray<'text'> [NOUSRESEARCH_HERMES_3_LLAMA_3_1_70B.id]: ReadonlyArray<'text'> [NOUSRESEARCH_HERMES_4_405B.id]: ReadonlyArray<'text'> @@ -20753,6 +20858,12 @@ export type OpenRouterModelInputModalitiesByName = { [OPENAI_GPT_6_SOL_PRO.id]: ReadonlyArray<'document' | 'image' | 'text'> [OPENAI_GPT_6_SOL_PRO_BATCH.id]: ReadonlyArray<'document' | 'image' | 'text'> [OPENAI_GPT_6_SOL_BATCH.id]: ReadonlyArray<'document' | 'image' | 'text'> + [OPENAI_GPT_6_1_SOL.id]: ReadonlyArray<'document' | 'image' | 'text'> + [OPENAI_GPT_6_1_SOL_PRO.id]: ReadonlyArray<'document' | 'image' | 'text'> + [OPENAI_GPT_6_1_SOL_PRO_BATCH.id]: ReadonlyArray< + 'document' | 'image' | 'text' + > + [OPENAI_GPT_6_1_SOL_BATCH.id]: ReadonlyArray<'document' | 'image' | 'text'> [OPENAI_GPT_AUDIO.id]: ReadonlyArray<'text' | 'audio'> [OPENAI_GPT_AUDIO_MINI.id]: ReadonlyArray<'text' | 'audio'> [OPENAI_GPT_CHAT_LATEST.id]: ReadonlyArray<'text' | 'image' | 'document'> @@ -20773,6 +20884,9 @@ export type OpenRouterModelInputModalitiesByName = { [OPENAI_O4_MINI_HIGH.id]: ReadonlyArray<'image' | 'text' | 'document'> [OPENAI_O4_MINI_BATCH.id]: ReadonlyArray<'image' | 'text' | 'document'> [PERCEPTRON_PERCEPTRON_MK1.id]: ReadonlyArray<'text' | 'image' | 'video'> + [PERCEPTRON_PERCEPTRON_MK1_5.id]: ReadonlyArray< + 'text' | 'image' | 'video' | 'audio' + > [PERPLEXITY_SONAR.id]: ReadonlyArray<'text' | 'image'> [PERPLEXITY_SONAR_DEEP_RESEARCH.id]: ReadonlyArray<'text'> [PERPLEXITY_SONAR_PRO.id]: ReadonlyArray<'text' | 'image'> @@ -20903,7 +21017,6 @@ export type OpenRouterModelInputModalitiesByName = { [Z_AI_GLM_5_TURBO.id]: ReadonlyArray<'text'> [Z_AI_GLM_5_1.id]: ReadonlyArray<'text'> [Z_AI_GLM_5_2.id]: ReadonlyArray<'text'> - [Z_AI_GLM_5_2_FREE.id]: ReadonlyArray<'text'> [Z_AI_GLM_5_3.id]: ReadonlyArray<'text'> [Z_AI_GLM_5_3_FLASH.id]: ReadonlyArray<'text' | 'image' | 'video'> [Z_AI_GLM_5_3_FLASH_BATCH.id]: ReadonlyArray<'text' | 'image' | 'video'> @@ -20947,7 +21060,6 @@ export const OPENROUTER_CHAT_MODELS = [ AMAZON_NOVA_PREMIER_V1.id, AMAZON_NOVA_PRO_V1.id, ANTHRACITE_ORG_MAGNUM_V4_72B.id, - ANTHROPIC_CLAUDE_3_HAIKU.id, ANTHROPIC_CLAUDE_FABLE_5.id, ANTHROPIC_CLAUDE_FABLE_5_BATCH.id, ANTHROPIC_CLAUDE_FABLE_5_1.id, @@ -20975,6 +21087,8 @@ export const OPENROUTER_CHAT_MODELS = [ ANTHROPIC_CLAUDE_SONNET_4_6_BATCH.id, ANTHROPIC_CLAUDE_SONNET_5.id, ANTHROPIC_CLAUDE_SONNET_5_BATCH.id, + ANTHROPIC_CLAUDE_SONNET_5_5.id, + ANTHROPIC_CLAUDE_SONNET_5_5_BATCH.id, ARCEE_AI_TRINITY_LARGE_THINKING.id, BAIDU_ERNIE_4_5_VL_424B_A47B.id, BYTEDANCE_SEED_SEED_1_6.id, @@ -20996,7 +21110,6 @@ export const OPENROUTER_CHAT_MODELS = [ DEEPSEEK_DEEPSEEK_CHAT_V3_1.id, DEEPSEEK_DEEPSEEK_R1.id, DEEPSEEK_DEEPSEEK_R1_0528.id, - DEEPSEEK_DEEPSEEK_R1_DISTILL_LLAMA_70B.id, DEEPSEEK_DEEPSEEK_V3_1_TERMINUS.id, DEEPSEEK_DEEPSEEK_V3_2.id, DEEPSEEK_DEEPSEEK_V3_2_EXP.id, @@ -21055,7 +21168,6 @@ export const OPENROUTER_CHAT_MODELS = [ INCEPTION_MERCURY_2_5.id, INCLUSIONAI_LING_3_0_FLASH.id, INCLUSIONAI_LING_3_0_FLASH_FIN.id, - INCLUSIONAI_LING_3_0_FLASH_FIN_FREE.id, INCLUSIONAI_LING_3_0_FLASH_SANTE_FREE.id, INCLUSIONAI_LING_3_0_FLASH_VL.id, INFERENCE_NET_SCHEMATRON_V2_SMALL.id, @@ -21123,8 +21235,8 @@ export const OPENROUTER_CHAT_MODELS = [ MOONSHOTAI_KIMI_K3_BATCH.id, MORPH_MORPH_V3_FAST.id, MORPH_MORPH_V3_LARGE.id, - NEX_AGI_NEX_N2_5_MINI_FREE.id, - NEX_AGI_NEX_N2_5_PRO_FREE.id, + NEX_AGI_NEX_N2_5_MINI.id, + NEX_AGI_NEX_N2_5_PRO.id, NOUSRESEARCH_HERMES_3_LLAMA_3_1_405B.id, NOUSRESEARCH_HERMES_3_LLAMA_3_1_70B.id, NOUSRESEARCH_HERMES_4_405B.id, @@ -21219,6 +21331,10 @@ export const OPENROUTER_CHAT_MODELS = [ OPENAI_GPT_6_SOL_PRO.id, OPENAI_GPT_6_SOL_PRO_BATCH.id, OPENAI_GPT_6_SOL_BATCH.id, + OPENAI_GPT_6_1_SOL.id, + OPENAI_GPT_6_1_SOL_PRO.id, + OPENAI_GPT_6_1_SOL_PRO_BATCH.id, + OPENAI_GPT_6_1_SOL_BATCH.id, OPENAI_GPT_AUDIO.id, OPENAI_GPT_AUDIO_MINI.id, OPENAI_GPT_CHAT_LATEST.id, @@ -21239,6 +21355,7 @@ export const OPENROUTER_CHAT_MODELS = [ OPENAI_O4_MINI_HIGH.id, OPENAI_O4_MINI_BATCH.id, PERCEPTRON_PERCEPTRON_MK1.id, + PERCEPTRON_PERCEPTRON_MK1_5.id, PERPLEXITY_SONAR.id, PERPLEXITY_SONAR_DEEP_RESEARCH.id, PERPLEXITY_SONAR_PRO.id, @@ -21361,7 +21478,6 @@ export const OPENROUTER_CHAT_MODELS = [ Z_AI_GLM_5_TURBO.id, Z_AI_GLM_5_1.id, Z_AI_GLM_5_2.id, - Z_AI_GLM_5_2_FREE.id, Z_AI_GLM_5_3.id, Z_AI_GLM_5_3_FLASH.id, Z_AI_GLM_5_3_FLASH_BATCH.id, @@ -21930,6 +22046,8 @@ export const OPENROUTER_COMBINED_TOOLS_AND_SCHEMA_MODELS: ReadonlySet = ANTHROPIC_CLAUDE_SONNET_4_6_BATCH.id, ANTHROPIC_CLAUDE_SONNET_5.id, ANTHROPIC_CLAUDE_SONNET_5_BATCH.id, + ANTHROPIC_CLAUDE_SONNET_5_5.id, + ANTHROPIC_CLAUDE_SONNET_5_5_BATCH.id, BYTEDANCE_SEED_SEED_1_6.id, BYTEDANCE_SEED_SEED_1_6_FLASH.id, BYTEDANCE_SEED_SEED_2_1_TURBO.id, @@ -22036,8 +22154,7 @@ export const OPENROUTER_COMBINED_TOOLS_AND_SCHEMA_MODELS: ReadonlySet = MOONSHOTAI_KIMI_K2_7_CODE.id, MOONSHOTAI_KIMI_K3.id, MOONSHOTAI_KIMI_K3_BATCH.id, - NEX_AGI_NEX_N2_5_MINI_FREE.id, - NEX_AGI_NEX_N2_5_PRO_FREE.id, + NEX_AGI_NEX_N2_5_PRO.id, NVIDIA_NEMOTRON_3_NANO_30B_A3B.id, NVIDIA_NEMOTRON_3_SUPER_120B_A12B.id, NVIDIA_NEMOTRON_3_SUPER_120B_A12B_FREE.id, @@ -22120,6 +22237,10 @@ export const OPENROUTER_COMBINED_TOOLS_AND_SCHEMA_MODELS: ReadonlySet = OPENAI_GPT_6_SOL_PRO.id, OPENAI_GPT_6_SOL_PRO_BATCH.id, OPENAI_GPT_6_SOL_BATCH.id, + OPENAI_GPT_6_1_SOL.id, + OPENAI_GPT_6_1_SOL_PRO.id, + OPENAI_GPT_6_1_SOL_PRO_BATCH.id, + OPENAI_GPT_6_1_SOL_BATCH.id, OPENAI_GPT_AUDIO.id, OPENAI_GPT_AUDIO_MINI.id, OPENAI_GPT_CHAT_LATEST.id, @@ -22138,6 +22259,7 @@ export const OPENROUTER_COMBINED_TOOLS_AND_SCHEMA_MODELS: ReadonlySet = OPENAI_O4_MINI.id, OPENAI_O4_MINI_HIGH.id, OPENAI_O4_MINI_BATCH.id, + PERCEPTRON_PERCEPTRON_MK1_5.id, PRISM_ML_TERNARY_BONSAI_2_27B.id, QWEN_QWEN_2_5_72B_INSTRUCT.id, QWEN_QWEN_2_5_7B_INSTRUCT.id, diff --git a/packages/ai-vercel-gateway/src/model-meta.ts b/packages/ai-vercel-gateway/src/model-meta.ts index f2caaccf41..d698783e20 100644 --- a/packages/ai-vercel-gateway/src/model-meta.ts +++ b/packages/ai-vercel-gateway/src/model-meta.ts @@ -68,6 +68,7 @@ export const VERCEL_GATEWAY_CHAT_MODELS = [ 'anthropic/claude-sonnet-4.5', 'anthropic/claude-sonnet-4.6', 'anthropic/claude-sonnet-5', + 'anthropic/claude-sonnet-5.5', 'arcee-ai/trinity-large-thinking', 'bytedance/seed-1.6', 'bytedance/seed-1.8', @@ -119,13 +120,16 @@ export const VERCEL_GATEWAY_CHAT_MODELS = [ 'inception/mercury-coder-small', 'inclusionai/ling-3.0-flash', 'inclusionai/ling-3.0-flash-fin', - 'inclusionai/ling-3.0-flash-fin-free', 'inclusionai/ling-3.0-flash-sante', 'inclusionai/ling-3.0-flash-sante-free', 'inclusionai/ling-3.0-flash-vl', + 'inclusionai/ling-3.1-flash', + 'inclusionai/ling-3.1-flash-free', 'inference-net/schematron-v2-small', 'inference-net/schematron-v2-turbo', 'interfaze/interfaze-beta', + 'liquid/d1', + 'meituan/longcat-2.5-preview', 'meta/llama-3.1-70b', 'meta/llama-3.1-8b', 'meta/llama-3.3-70b', @@ -223,6 +227,8 @@ export const VERCEL_GATEWAY_CHAT_MODELS = [ 'openai/gpt-6-luna-fast', 'openai/gpt-6-sol', 'openai/gpt-6-sol-fast', + 'openai/gpt-6.1-sol', + 'openai/gpt-6.1-sol-fast', 'openai/gpt-live-1', 'openai/gpt-oss-120b', 'openai/gpt-oss-20b', @@ -244,8 +250,6 @@ export const VERCEL_GATEWAY_CHAT_MODELS = [ 'openai/tts-1-hd', 'openai/whisper-1', 'perplexity/sonar', - 'perplexity/sonar-pro', - 'perplexity/sonar-reasoning-pro', 'poolside/laguna-s-2.1', 'poolside/laguna-s-2.1-free', 'quiverai/arrow-2', @@ -271,6 +275,7 @@ export const VERCEL_GATEWAY_CHAT_MODELS = [ 'spacexai/grok-tts', 'spacexai/grok-voice-think-fast-1.0', 'spacexai/grok-voice-think-fast-2.0', + 'stealth/pixel-canary', 'stepfun/step-3.5-flash', 'stepfun/step-3.7-flash', 'stepfun/step-5-preview', @@ -325,6 +330,8 @@ export const VERCEL_GATEWAY_PROVIDERS = [ 'inference-net', 'interfaze', 'klingai', + 'liquid', + 'meituan', 'meta', 'minimax', 'mistral', @@ -340,6 +347,7 @@ export const VERCEL_GATEWAY_PROVIDERS = [ 'recraft', 'sakana', 'spacexai', + 'stealth', 'stepfun', 'tencent', 'thinkingmachines', @@ -976,6 +984,8 @@ export type VercelGatewayChatModelProviderOptionsByName = { | 'stop' | 'reasoning' | 'include_reasoning' + | 'response_format' + | 'structured_outputs' > 'anthropic/claude-opus-5.5-fast': VercelGatewayCommonOptions & Pick< @@ -985,6 +995,8 @@ export type VercelGatewayChatModelProviderOptionsByName = { | 'stop' | 'reasoning' | 'include_reasoning' + | 'response_format' + | 'structured_outputs' > 'anthropic/claude-sonnet-4': VercelGatewayCommonOptions & Pick< @@ -1033,6 +1045,17 @@ export type VercelGatewayChatModelProviderOptionsByName = { | 'response_format' | 'structured_outputs' > + 'anthropic/claude-sonnet-5.5': VercelGatewayCommonOptions & + Pick< + VercelGatewayBaseOptions, + | 'max_tokens' + | 'max_output_tokens' + | 'stop' + | 'reasoning' + | 'include_reasoning' + | 'response_format' + | 'structured_outputs' + > 'arcee-ai/trinity-large-thinking': VercelGatewayCommonOptions & Pick< VercelGatewayBaseOptions, @@ -1529,7 +1552,7 @@ export type VercelGatewayChatModelProviderOptionsByName = { | 'response_format' | 'structured_outputs' > - 'inclusionai/ling-3.0-flash-fin-free': VercelGatewayCommonOptions & + 'inclusionai/ling-3.0-flash-sante': VercelGatewayCommonOptions & Pick< VercelGatewayBaseOptions, | 'max_tokens' @@ -1539,7 +1562,7 @@ export type VercelGatewayChatModelProviderOptionsByName = { | 'reasoning' | 'include_reasoning' > - 'inclusionai/ling-3.0-flash-sante': VercelGatewayCommonOptions & + 'inclusionai/ling-3.0-flash-sante-free': VercelGatewayCommonOptions & Pick< VercelGatewayBaseOptions, | 'max_tokens' @@ -1549,7 +1572,7 @@ export type VercelGatewayChatModelProviderOptionsByName = { | 'reasoning' | 'include_reasoning' > - 'inclusionai/ling-3.0-flash-sante-free': VercelGatewayCommonOptions & + 'inclusionai/ling-3.0-flash-vl': VercelGatewayCommonOptions & Pick< VercelGatewayBaseOptions, | 'max_tokens' @@ -1559,7 +1582,17 @@ export type VercelGatewayChatModelProviderOptionsByName = { | 'reasoning' | 'include_reasoning' > - 'inclusionai/ling-3.0-flash-vl': VercelGatewayCommonOptions & + 'inclusionai/ling-3.1-flash': VercelGatewayCommonOptions & + Pick< + VercelGatewayBaseOptions, + | 'max_tokens' + | 'max_output_tokens' + | 'temperature' + | 'stop' + | 'reasoning' + | 'include_reasoning' + > + 'inclusionai/ling-3.1-flash-free': VercelGatewayCommonOptions & Pick< VercelGatewayBaseOptions, | 'max_tokens' @@ -1601,6 +1634,19 @@ export type VercelGatewayChatModelProviderOptionsByName = { | 'response_format' | 'structured_outputs' > + 'liquid/d1': VercelGatewayCommonOptions + 'meituan/longcat-2.5-preview': VercelGatewayCommonOptions & + Pick< + VercelGatewayBaseOptions, + | 'max_tokens' + | 'max_output_tokens' + | 'temperature' + | 'stop' + | 'reasoning' + | 'include_reasoning' + | 'response_format' + | 'structured_outputs' + > 'meta/llama-3.1-70b': VercelGatewayCommonOptions & Pick< VercelGatewayBaseOptions, @@ -2653,6 +2699,30 @@ export type VercelGatewayChatModelProviderOptionsByName = { | 'response_format' | 'structured_outputs' > + 'openai/gpt-6.1-sol': VercelGatewayCommonOptions & + Pick< + VercelGatewayBaseOptions, + | 'max_tokens' + | 'max_output_tokens' + | 'temperature' + | 'stop' + | 'reasoning' + | 'include_reasoning' + | 'response_format' + | 'structured_outputs' + > + 'openai/gpt-6.1-sol-fast': VercelGatewayCommonOptions & + Pick< + VercelGatewayBaseOptions, + | 'max_tokens' + | 'max_output_tokens' + | 'temperature' + | 'stop' + | 'reasoning' + | 'include_reasoning' + | 'response_format' + | 'structured_outputs' + > 'openai/gpt-live-1': VercelGatewayCommonOptions & Pick< VercelGatewayBaseOptions, @@ -2819,26 +2889,6 @@ export type VercelGatewayChatModelProviderOptionsByName = { 'openai/tts-1-hd': VercelGatewayCommonOptions 'openai/whisper-1': VercelGatewayCommonOptions 'perplexity/sonar': VercelGatewayCommonOptions & - Pick< - VercelGatewayBaseOptions, - | 'max_tokens' - | 'max_output_tokens' - | 'temperature' - | 'stop' - | 'response_format' - | 'structured_outputs' - > - 'perplexity/sonar-pro': VercelGatewayCommonOptions & - Pick< - VercelGatewayBaseOptions, - | 'max_tokens' - | 'max_output_tokens' - | 'temperature' - | 'stop' - | 'response_format' - | 'structured_outputs' - > - 'perplexity/sonar-reasoning-pro': VercelGatewayCommonOptions & Pick< VercelGatewayBaseOptions, | 'max_tokens' @@ -3116,6 +3166,16 @@ export type VercelGatewayChatModelProviderOptionsByName = { | 'reasoning' | 'include_reasoning' > + 'stealth/pixel-canary': VercelGatewayCommonOptions & + Pick< + VercelGatewayBaseOptions, + | 'max_tokens' + | 'max_output_tokens' + | 'temperature' + | 'stop' + | 'reasoning' + | 'include_reasoning' + > 'stepfun/step-3.5-flash': VercelGatewayCommonOptions & Pick< VercelGatewayBaseOptions, @@ -3539,6 +3599,7 @@ export type VercelGatewayModelInputModalitiesByName = { 'anthropic/claude-sonnet-4.5': readonly ['text', 'image', 'document'] 'anthropic/claude-sonnet-4.6': readonly ['text', 'image', 'document'] 'anthropic/claude-sonnet-5': readonly ['text', 'image', 'document'] + 'anthropic/claude-sonnet-5.5': readonly ['text', 'image', 'document'] 'arcee-ai/trinity-large-thinking': readonly ['text'] 'bytedance/seed-1.6': readonly ['text', 'image'] 'bytedance/seed-1.8': readonly ['text', 'image'] @@ -3600,13 +3661,16 @@ export type VercelGatewayModelInputModalitiesByName = { 'inception/mercury-coder-small': readonly ['text'] 'inclusionai/ling-3.0-flash': readonly ['text'] 'inclusionai/ling-3.0-flash-fin': readonly ['text'] - 'inclusionai/ling-3.0-flash-fin-free': readonly ['text'] 'inclusionai/ling-3.0-flash-sante': readonly ['text'] 'inclusionai/ling-3.0-flash-sante-free': readonly ['text'] 'inclusionai/ling-3.0-flash-vl': readonly ['text', 'image', 'video'] + 'inclusionai/ling-3.1-flash': readonly ['text'] + 'inclusionai/ling-3.1-flash-free': readonly ['text'] 'inference-net/schematron-v2-small': readonly ['text'] 'inference-net/schematron-v2-turbo': readonly ['text'] 'interfaze/interfaze-beta': readonly ['text', 'image', 'document'] + 'liquid/d1': readonly ['text'] + 'meituan/longcat-2.5-preview': readonly ['text', 'image'] 'meta/llama-3.1-70b': readonly ['text'] 'meta/llama-3.1-8b': readonly ['text'] 'meta/llama-3.3-70b': readonly ['text'] @@ -3709,6 +3773,8 @@ export type VercelGatewayModelInputModalitiesByName = { 'openai/gpt-6-luna-fast': readonly ['text', 'image', 'document'] 'openai/gpt-6-sol': readonly ['text', 'image', 'document'] 'openai/gpt-6-sol-fast': readonly ['text', 'image', 'document'] + 'openai/gpt-6.1-sol': readonly ['text', 'image', 'document'] + 'openai/gpt-6.1-sol-fast': readonly ['text', 'image', 'document'] 'openai/gpt-live-1': readonly ['text', 'audio'] 'openai/gpt-oss-120b': readonly ['text'] 'openai/gpt-oss-20b': readonly ['text'] @@ -3730,8 +3796,6 @@ export type VercelGatewayModelInputModalitiesByName = { 'openai/tts-1-hd': readonly ['text'] 'openai/whisper-1': readonly ['text', 'audio'] 'perplexity/sonar': readonly ['text', 'image'] - 'perplexity/sonar-pro': readonly ['text', 'image'] - 'perplexity/sonar-reasoning-pro': readonly ['text', 'image'] 'poolside/laguna-s-2.1': readonly ['text'] 'poolside/laguna-s-2.1-free': readonly ['text'] 'quiverai/arrow-2': readonly ['text', 'image'] @@ -3761,6 +3825,7 @@ export type VercelGatewayModelInputModalitiesByName = { 'spacexai/grok-tts': readonly ['text'] 'spacexai/grok-voice-think-fast-1.0': readonly ['text', 'audio'] 'spacexai/grok-voice-think-fast-2.0': readonly ['text', 'audio'] + 'stealth/pixel-canary': readonly ['text', 'image'] 'stepfun/step-3.5-flash': readonly ['text', 'image'] 'stepfun/step-3.7-flash': readonly ['text', 'image'] 'stepfun/step-5-preview': readonly ['text', 'image'] diff --git a/scripts/.sync-models-last-run b/scripts/.sync-models-last-run index f7a3b6365b..9a3118e920 100644 --- a/scripts/.sync-models-last-run +++ b/scripts/.sync-models-last-run @@ -1 +1 @@ -1790332798 +1790755131 diff --git a/scripts/openrouter.models.json b/scripts/openrouter.models.json index 48a0d80b68..7d680f5ae0 100644 --- a/scripts/openrouter.models.json +++ b/scripts/openrouter.models.json @@ -187,8 +187,8 @@ "id": "~anthropic/claude-sonnet-latest", "canonical_slug": "~anthropic/claude-sonnet-latest", "alias_target": { - "name": "Anthropic: Claude Sonnet 5", - "slug": "anthropic/claude-sonnet-5" + "name": "Anthropic: Claude Sonnet 5.5", + "slug": "anthropic/claude-sonnet-5.5" }, "hugging_face_id": null, "name": "Anthropic: Claude Sonnet Latest", @@ -213,7 +213,7 @@ "top_provider": { "context_length": 1000000, "max_completion_tokens": 128000, - "is_moderated": true + "is_moderated": false }, "per_request_limits": null, "supported_parameters": [ @@ -225,6 +225,7 @@ "response_format", "stop", "structured_outputs", + "temperature", "tool_choice", "tools", "verbosity" @@ -237,8 +238,7 @@ "details": "/api/v1/models/~anthropic/claude-sonnet-latest/endpoints" }, "reasoning": { - "mandatory": false, - "default_enabled": true, + "mandatory": true, "supported_efforts": ["max", "xhigh", "high", "medium", "low"], "default_effort": "high" } @@ -263,9 +263,9 @@ "instruct_type": null }, "pricing": { - "prompt": "0.00000004", - "completion": "0.00000049", - "input_cache_read": "0.00000001" + "prompt": "0.00000002", + "completion": "0.0000006", + "input_cache_read": "0.00000002" }, "top_provider": { "context_length": 1048576, @@ -329,13 +329,13 @@ "instruct_type": null }, "pricing": { - "prompt": "0.0000002528", - "completion": "0.00000288", - "input_cache_read": "0.00000008832" + "prompt": "0.00000015", + "completion": "0.0000035", + "input_cache_read": "0.00000015" }, "top_provider": { "context_length": 1048576, - "max_completion_tokens": 943718, + "max_completion_tokens": 393216, "is_moderated": false }, "per_request_limits": null, @@ -388,7 +388,7 @@ "name": "DeepSeek: DeepSeek V4 Flash Latest", "created": 1785606009, "description": "This model always redirects to the latest model in the DeepSeek V4 Flash family.", - "context_length": 1310720, + "context_length": 1048576, "architecture": { "modality": "text->text", "input_modalities": ["text"], @@ -397,9 +397,9 @@ "instruct_type": null }, "pricing": { - "prompt": "0.00000003", - "completion": "0.00000032", - "input_cache_read": "0.000000016" + "prompt": "0.00000001", + "completion": "0.00000128", + "input_cache_read": "0.00000001" }, "top_provider": { "context_length": 1048576, @@ -609,9 +609,9 @@ "instruct_type": null }, "pricing": { - "prompt": "0.0000008845", - "completion": "0.0000105346", - "input_cache_read": "0.00000033" + "prompt": "0.0000004", + "completion": "0.000009", + "input_cache_read": "0.0000004" }, "top_provider": { "context_length": 1048576, @@ -871,8 +871,8 @@ "id": "~openai/gpt-sol-latest", "canonical_slug": "~openai/gpt-sol-latest", "alias_target": { - "name": "OpenAI: GPT-6 Sol", - "slug": "openai/gpt-6-sol" + "name": "OpenAI: GPT-6.1 Sol", + "slug": "openai/gpt-6.1-sol" }, "hugging_face_id": null, "name": "OpenAI: GPT Sol Latest", @@ -890,14 +890,14 @@ "prompt": "0.000002", "completion": "0.00001", "web_search": "0.01", - "input_cache_read": "0.0000002", + "input_cache_read": "0.0000001", "input_cache_write": "0.0000025", "overrides": [ { "min_prompt_tokens": 272000, "prompt": "0.000004", "completion": "0.000015", - "input_cache_read": "0.0000004", + "input_cache_read": "0.0000002", "input_cache_write": "0.000005" } ] @@ -905,7 +905,7 @@ "top_provider": { "context_length": 1050000, "max_completion_tokens": 128000, - "is_moderated": true + "is_moderated": false }, "per_request_limits": null, "supported_parameters": [ @@ -920,14 +920,7 @@ "tool_choice", "tools" ], - "default_parameters": { - "temperature": null, - "top_p": null, - "top_k": null, - "frequency_penalty": null, - "presence_penalty": null, - "repetition_penalty": null - }, + "default_parameters": {}, "supported_voices": null, "knowledge_cutoff": null, "expiration_date": null, @@ -935,9 +928,9 @@ "details": "/api/v1/models/~openai/gpt-sol-latest/endpoints" }, "reasoning": { - "mandatory": false, + "mandatory": true, "default_enabled": true, - "supported_efforts": ["max", "xhigh", "high", "medium", "low", "none"], + "supported_efforts": ["max", "xhigh", "high", "medium", "low"], "default_effort": "medium" } }, @@ -1035,16 +1028,16 @@ "instruct_type": null }, "pricing": { - "prompt": "0.0000016", - "completion": "0.0000048", + "prompt": "0.000002", + "completion": "0.000006", "web_search": "0.005", - "input_cache_read": "0.0000004", + "input_cache_read": "0.0000005", "overrides": [ { "min_prompt_tokens": 200000, - "prompt": "0.0000032", - "completion": "0.0000096", - "input_cache_read": "0.0000008" + "prompt": "0.000004", + "completion": "0.000012", + "input_cache_read": "0.000001" } ] }, @@ -1097,7 +1090,7 @@ "name": "Z.ai: GLM Flash Latest", "created": 1787817633, "description": "This model always redirects to the latest model in the GLM Flash family.", - "context_length": 1310720, + "context_length": 1048576, "architecture": { "modality": "text+image+video->text", "input_modalities": ["text", "image", "video"], @@ -1106,13 +1099,13 @@ "instruct_type": null }, "pricing": { - "prompt": "0.000000045", - "completion": "0.00000014", + "prompt": "0.00000002", + "completion": "0.0000003", "input_cache_read": "0.00000001" }, "top_provider": { "context_length": 1048576, - "max_completion_tokens": 128000, + "max_completion_tokens": 943718, "is_moderated": false }, "per_request_limits": null, @@ -1167,7 +1160,7 @@ "name": "Z.ai: GLM Latest", "created": 1787151053, "description": "This model always redirects to the latest GLM model from Z.ai.", - "context_length": 1310720, + "context_length": 1048576, "architecture": { "modality": "text->text", "input_modalities": ["text"], @@ -1176,9 +1169,9 @@ "instruct_type": null }, "pricing": { - "prompt": "0.0000005614", - "completion": "0.0000017644", - "input_cache_read": "0.00000010426" + "prompt": "0.00000013", + "completion": "0.000004", + "input_cache_read": "0.00000013" }, "top_provider": { "context_length": 1048576, @@ -1698,7 +1691,7 @@ "category": "website", "elo": 843, "win_rate": 26.2, - "rank": 129 + "rank": 131 } ] } @@ -1750,7 +1743,7 @@ "category": "website", "elo": 804, "win_rate": 21.4, - "rank": 131 + "rank": 133 } ] } @@ -1807,56 +1800,207 @@ } }, { - "id": "anthropic/claude-3-haiku", - "canonical_slug": "anthropic/claude-3-haiku", + "id": "anthropic/claude-fable-5", + "canonical_slug": "anthropic/claude-5-fable-20260609", "hugging_face_id": null, - "name": "Anthropic: Claude 3 Haiku", - "created": 1710288000, - "description": "Claude 3 Haiku is Anthropic's fastest and most compact model for\nnear-instant responsiveness. Quick and accurate targeted performance.\n\nSee the launch announcement and benchmark results [here](https://www.anthropic.com/news/claude-3-haiku)\n\n#multimodal", - "context_length": 200000, + "name": "Anthropic: Claude Fable 5", + "created": 1781007515, + "description": "Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and...", + "context_length": 1000000, "architecture": { - "modality": "text+image->text", - "input_modalities": ["text", "image"], + "modality": "text+image+file->text", + "input_modalities": ["text", "image", "file"], "output_modalities": ["text"], "tokenizer": "Claude", "instruct_type": null }, "pricing": { - "prompt": "0.00000025", - "completion": "0.00000125", + "prompt": "0.00001", + "completion": "0.00005", "web_search": "0.01", - "input_cache_read": "0.00000003", - "input_cache_write": "0.0000003", - "input_cache_write_1h": "0.0000005" + "input_cache_read": "0.000001", + "input_cache_write": "0.0000125", + "input_cache_write_1h": "0.00002" }, "top_provider": { - "context_length": 200000, - "max_completion_tokens": 4096, + "context_length": 1000000, + "max_completion_tokens": 128000, "is_moderated": true }, "per_request_limits": null, "supported_parameters": [ + "include_reasoning", + "max_completion_tokens", "max_tokens", + "reasoning", + "reasoning_effort", + "response_format", "stop", - "temperature", + "structured_outputs", "tool_choice", "tools", - "top_k", - "top_p" + "verbosity" ], - "default_parameters": {}, + "default_parameters": { + "temperature": null, + "top_p": null, + "top_k": null, + "frequency_penalty": null, + "presence_penalty": null, + "repetition_penalty": null + }, "supported_voices": null, - "knowledge_cutoff": "2023-08-31", + "knowledge_cutoff": null, "expiration_date": null, "links": { - "details": "/api/v1/models/anthropic/claude-3-haiku/endpoints" + "details": "/api/v1/models/anthropic/claude-5-fable-20260609/endpoints" + }, + "benchmarks": { + "design_arena": [ + { + "arena": "agents", + "category": "agenticgamedev", + "elo": 1284, + "win_rate": 61.8, + "rank": 1 + }, + { + "arena": "agents", + "category": "agentichtmlslides", + "elo": 1254, + "win_rate": 59.4, + "rank": 1 + }, + { + "arena": "agents", + "category": "agenticslides(html)", + "elo": 1252, + "win_rate": 59.5, + "rank": 1 + }, + { + "arena": "agents", + "category": "androidnative", + "elo": 1298, + "win_rate": 65.1, + "rank": 2 + }, + { + "arena": "agents", + "category": "fullstack", + "elo": 1289, + "win_rate": 58.3, + "rank": 6 + }, + { + "arena": "agents", + "category": "godotgamedev", + "elo": 1295, + "win_rate": 64, + "rank": 3 + }, + { + "arena": "agents", + "category": "htmlslides", + "elo": 1273, + "win_rate": 64, + "rank": 1 + }, + { + "arena": "agents", + "category": "mobileapps", + "elo": 1262, + "win_rate": 60.8, + "rank": 5 + }, + { + "arena": "agents", + "category": "python-pptxslides", + "elo": 1295, + "win_rate": 62, + "rank": 3 + }, + { + "arena": "agents", + "category": "webapps", + "elo": 1270, + "win_rate": 56.5, + "rank": 7 + }, + { + "arena": "models", + "category": "3d", + "elo": 1337, + "win_rate": 61.7, + "rank": 9 + }, + { + "arena": "models", + "category": "asciiart", + "elo": 1341, + "win_rate": 68, + "rank": 2 + }, + { + "arena": "models", + "category": "codecategories", + "elo": 1320, + "win_rate": 57.6, + "rank": 8 + }, + { + "arena": "models", + "category": "dataviz", + "elo": 1315, + "win_rate": 57.5, + "rank": 10 + }, + { + "arena": "models", + "category": "gamedev", + "elo": 1349, + "win_rate": 60.8, + "rank": 6 + }, + { + "arena": "models", + "category": "svg", + "elo": 1301, + "win_rate": 62.6, + "rank": 5 + }, + { + "arena": "models", + "category": "uicomponent", + "elo": 1327, + "win_rate": 58, + "rank": 11 + }, + { + "arena": "models", + "category": "website", + "elo": 1303, + "win_rate": 56, + "rank": 12 + } + ], + "artificial_analysis": { + "intelligence_index": 49.6, + "coding_index": 76.5, + "agentic_index": 50.7 + } + }, + "reasoning": { + "mandatory": true, + "supported_efforts": ["max", "xhigh", "high", "medium", "low"], + "default_effort": "high" } }, { - "id": "anthropic/claude-fable-5", + "id": "anthropic/claude-fable-5:batch", "canonical_slug": "anthropic/claude-5-fable-20260609", "hugging_face_id": null, - "name": "Anthropic: Claude Fable 5", + "name": "Anthropic: Claude Fable 5 (batch)", "created": 1781007515, "description": "Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and...", "context_length": 1000000, @@ -1868,12 +2012,12 @@ "instruct_type": null }, "pricing": { - "prompt": "0.00001", - "completion": "0.00005", + "prompt": "0.000005", + "completion": "0.000025", "web_search": "0.01", - "input_cache_read": "0.000001", - "input_cache_write": "0.0000125", - "input_cache_write_1h": "0.00002" + "input_cache_read": "0.0000005", + "input_cache_write": "0.00000625", + "input_cache_write_1h": "0.00001" }, "top_provider": { "context_length": 1000000, @@ -1883,7 +2027,6 @@ "per_request_limits": null, "supported_parameters": [ "include_reasoning", - "max_completion_tokens", "max_tokens", "reasoning", "reasoning_effort", @@ -1913,8 +2056,8 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1285, - "win_rate": 61.9, + "elo": 1284, + "win_rate": 61.8, "rank": 1 }, { @@ -1934,303 +2077,107 @@ { "arena": "agents", "category": "androidnative", - "elo": 1297, + "elo": 1298, "win_rate": 65.1, "rank": 2 }, { "arena": "agents", "category": "fullstack", - "elo": 1275, - "win_rate": 58.2, + "elo": 1289, + "win_rate": 58.3, "rank": 6 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1292, - "win_rate": 64.2, - "rank": 2 + "elo": 1295, + "win_rate": 64, + "rank": 3 }, { "arena": "agents", "category": "htmlslides", - "elo": 1280, - "win_rate": 63.1, + "elo": 1273, + "win_rate": 64, "rank": 1 }, { "arena": "agents", "category": "mobileapps", - "elo": 1288, - "win_rate": 60.6, - "rank": 2 + "elo": 1262, + "win_rate": 60.8, + "rank": 5 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1294, - "win_rate": 61.2, + "elo": 1295, + "win_rate": 62, "rank": 3 }, { "arena": "agents", "category": "webapps", - "elo": 1266, - "win_rate": 56.2, - "rank": 8 + "elo": 1270, + "win_rate": 56.5, + "rank": 7 }, { "arena": "models", "category": "3d", - "elo": 1344, - "win_rate": 61.6, + "elo": 1337, + "win_rate": 61.7, "rank": 9 }, { "arena": "models", "category": "asciiart", - "elo": 1338, - "win_rate": 67.7, - "rank": 3 + "elo": 1341, + "win_rate": 68, + "rank": 2 }, { "arena": "models", "category": "codecategories", - "elo": 1319, - "win_rate": 57.7, - "rank": 7 - }, - { - "arena": "models", - "category": "dataviz", - "elo": 1317, + "elo": 1320, "win_rate": 57.6, - "rank": 9 - }, - { - "arena": "models", - "category": "gamedev", - "elo": 1353, - "win_rate": 61.3, - "rank": 5 - }, - { - "arena": "models", - "category": "svg", - "elo": 1315, - "win_rate": 63.5, - "rank": 5 - }, - { - "arena": "models", - "category": "uicomponent", - "elo": 1331, - "win_rate": 58.1, - "rank": 9 - }, - { - "arena": "models", - "category": "website", - "elo": 1303, - "win_rate": 56.1, - "rank": 11 - } - ], - "artificial_analysis": { - "intelligence_index": 49.6, - "coding_index": 76.5, - "agentic_index": 50.7 - } - }, - "reasoning": { - "mandatory": true, - "supported_efforts": ["max", "xhigh", "high", "medium", "low"], - "default_effort": "high" - } - }, - { - "id": "anthropic/claude-fable-5:batch", - "canonical_slug": "anthropic/claude-5-fable-20260609", - "hugging_face_id": null, - "name": "Anthropic: Claude Fable 5 (batch)", - "created": 1781007515, - "description": "Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and...", - "context_length": 1000000, - "architecture": { - "modality": "text+image+file->text", - "input_modalities": ["text", "image", "file"], - "output_modalities": ["text"], - "tokenizer": "Claude", - "instruct_type": null - }, - "pricing": { - "prompt": "0.000005", - "completion": "0.000025", - "web_search": "0.01", - "input_cache_read": "0.0000005", - "input_cache_write": "0.00000625", - "input_cache_write_1h": "0.00001" - }, - "top_provider": { - "context_length": 1000000, - "max_completion_tokens": 128000, - "is_moderated": true - }, - "per_request_limits": null, - "supported_parameters": [ - "include_reasoning", - "max_tokens", - "reasoning", - "reasoning_effort", - "response_format", - "stop", - "structured_outputs", - "tool_choice", - "tools", - "verbosity" - ], - "default_parameters": { - "temperature": null, - "top_p": null, - "top_k": null, - "frequency_penalty": null, - "presence_penalty": null, - "repetition_penalty": null - }, - "supported_voices": null, - "knowledge_cutoff": null, - "expiration_date": null, - "links": { - "details": "/api/v1/models/anthropic/claude-5-fable-20260609/endpoints" - }, - "benchmarks": { - "design_arena": [ - { - "arena": "agents", - "category": "agenticgamedev", - "elo": 1285, - "win_rate": 61.9, - "rank": 1 - }, - { - "arena": "agents", - "category": "agentichtmlslides", - "elo": 1254, - "win_rate": 59.4, - "rank": 1 - }, - { - "arena": "agents", - "category": "agenticslides(html)", - "elo": 1252, - "win_rate": 59.5, - "rank": 1 - }, - { - "arena": "agents", - "category": "androidnative", - "elo": 1297, - "win_rate": 65.1, - "rank": 2 - }, - { - "arena": "agents", - "category": "fullstack", - "elo": 1275, - "win_rate": 58.2, - "rank": 6 - }, - { - "arena": "agents", - "category": "godotgamedev", - "elo": 1292, - "win_rate": 64.2, - "rank": 2 - }, - { - "arena": "agents", - "category": "htmlslides", - "elo": 1280, - "win_rate": 63.1, - "rank": 1 - }, - { - "arena": "agents", - "category": "mobileapps", - "elo": 1288, - "win_rate": 60.6, - "rank": 2 - }, - { - "arena": "agents", - "category": "python-pptxslides", - "elo": 1294, - "win_rate": 61.2, - "rank": 3 - }, - { - "arena": "agents", - "category": "webapps", - "elo": 1266, - "win_rate": 56.2, "rank": 8 }, - { - "arena": "models", - "category": "3d", - "elo": 1344, - "win_rate": 61.6, - "rank": 9 - }, - { - "arena": "models", - "category": "asciiart", - "elo": 1338, - "win_rate": 67.7, - "rank": 3 - }, - { - "arena": "models", - "category": "codecategories", - "elo": 1319, - "win_rate": 57.7, - "rank": 7 - }, { "arena": "models", "category": "dataviz", - "elo": 1317, - "win_rate": 57.6, - "rank": 9 + "elo": 1315, + "win_rate": 57.5, + "rank": 10 }, { "arena": "models", "category": "gamedev", - "elo": 1353, - "win_rate": 61.3, - "rank": 5 + "elo": 1349, + "win_rate": 60.8, + "rank": 6 }, { "arena": "models", "category": "svg", - "elo": 1315, - "win_rate": 63.5, + "elo": 1301, + "win_rate": 62.6, "rank": 5 }, { "arena": "models", "category": "uicomponent", - "elo": 1331, - "win_rate": 58.1, - "rank": 9 + "elo": 1327, + "win_rate": 58, + "rank": 11 }, { "arena": "models", "category": "website", "elo": 1303, - "win_rate": 56.1, - "rank": 11 + "win_rate": 56, + "rank": 12 } ], "artificial_analysis": { @@ -2299,86 +2246,93 @@ { "arena": "agents", "category": "fullstack", - "elo": 1323, + "elo": 1334, "win_rate": 57.3, "rank": 1 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1330, - "win_rate": 61.2, + "elo": 1337, + "win_rate": 61, "rank": 1 }, + { + "arena": "agents", + "category": "mobileapps", + "elo": 1280, + "win_rate": 58.6, + "rank": 4 + }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1328, - "win_rate": 62.6, + "elo": 1325, + "win_rate": 62.3, "rank": 1 }, { "arena": "agents", "category": "webapps", - "elo": 1323, - "win_rate": 56.1, + "elo": 1321, + "win_rate": 55.8, "rank": 1 }, { "arena": "models", "category": "3d", - "elo": 1421, - "win_rate": 68.2, - "rank": 2 + "elo": 1409, + "win_rate": 67.5, + "rank": 4 }, { "arena": "models", "category": "asciiart", - "elo": 1339, - "win_rate": 65.9, - "rank": 2 + "elo": 1335, + "win_rate": 65, + "rank": 3 }, { "arena": "models", "category": "codecategories", - "elo": 1342, + "elo": 1344, "win_rate": 59.2, "rank": 3 }, { "arena": "models", "category": "dataviz", - "elo": 1357, - "win_rate": 62.1, - "rank": 2 + "elo": 1354, + "win_rate": 62, + "rank": 4 }, { "arena": "models", "category": "gamedev", "elo": 1394, - "win_rate": 65.5, - "rank": 1 + "win_rate": 65.6, + "rank": 2 }, { "arena": "models", "category": "svg", - "elo": 1335, - "win_rate": 62.8, - "rank": 1 + "elo": 1306, + "win_rate": 57.1, + "rank": 4 }, { "arena": "models", "category": "uicomponent", - "elo": 1350, - "win_rate": 59.7, - "rank": 5 + "elo": 1349, + "win_rate": 59.8, + "rank": 6 }, { "arena": "models", "category": "website", "elo": 1319, "win_rate": 56.2, - "rank": 4 + "rank": 5 } ], "artificial_analysis": { @@ -2446,86 +2400,93 @@ { "arena": "agents", "category": "fullstack", - "elo": 1323, + "elo": 1334, "win_rate": 57.3, "rank": 1 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1330, - "win_rate": 61.2, + "elo": 1337, + "win_rate": 61, "rank": 1 }, + { + "arena": "agents", + "category": "mobileapps", + "elo": 1280, + "win_rate": 58.6, + "rank": 4 + }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1328, - "win_rate": 62.6, + "elo": 1325, + "win_rate": 62.3, "rank": 1 }, { "arena": "agents", "category": "webapps", - "elo": 1323, - "win_rate": 56.1, + "elo": 1321, + "win_rate": 55.8, "rank": 1 }, { "arena": "models", "category": "3d", - "elo": 1421, - "win_rate": 68.2, - "rank": 2 + "elo": 1409, + "win_rate": 67.5, + "rank": 4 }, { "arena": "models", "category": "asciiart", - "elo": 1339, - "win_rate": 65.9, - "rank": 2 + "elo": 1335, + "win_rate": 65, + "rank": 3 }, { "arena": "models", "category": "codecategories", - "elo": 1342, + "elo": 1344, "win_rate": 59.2, "rank": 3 }, { "arena": "models", "category": "dataviz", - "elo": 1357, - "win_rate": 62.1, - "rank": 2 + "elo": 1354, + "win_rate": 62, + "rank": 4 }, { "arena": "models", "category": "gamedev", "elo": 1394, - "win_rate": 65.5, - "rank": 1 + "win_rate": 65.6, + "rank": 2 }, { "arena": "models", "category": "svg", - "elo": 1335, - "win_rate": 62.8, - "rank": 1 + "elo": 1306, + "win_rate": 57.1, + "rank": 4 }, { "arena": "models", "category": "uicomponent", - "elo": 1350, - "win_rate": 59.7, - "rank": 5 + "elo": 1349, + "win_rate": 59.8, + "rank": 6 }, { "arena": "models", "category": "website", "elo": 1319, "win_rate": 56.2, - "rank": 4 + "rank": 5 } ], "artificial_analysis": { @@ -2602,16 +2563,16 @@ { "arena": "models", "category": "3d", - "elo": 1098, + "elo": 1090, "win_rate": 41.1, - "rank": 89 + "rank": 90 }, { "arena": "models", "category": "asciiart", - "elo": 1153, + "elo": 1154, "win_rate": 49.3, - "rank": 44 + "rank": 45 }, { "arena": "models", @@ -2623,37 +2584,37 @@ { "arena": "models", "category": "dataviz", - "elo": 1135, - "win_rate": 45.7, - "rank": 83 + "elo": 1133, + "win_rate": 45.6, + "rank": 84 }, { "arena": "models", "category": "gamedev", - "elo": 1113, + "elo": 1110, "win_rate": 44.7, - "rank": 82 + "rank": 84 }, { "arena": "models", "category": "svg", - "elo": 1036, + "elo": 1022, "win_rate": 39.1, - "rank": 75 + "rank": 79 }, { "arena": "models", "category": "uicomponent", - "elo": 1114, + "elo": 1110, "win_rate": 42.6, - "rank": 83 + "rank": 84 }, { "arena": "models", "category": "website", "elo": 1130, "win_rate": 45.1, - "rank": 87 + "rank": 89 } ], "artificial_analysis": { @@ -2727,16 +2688,16 @@ { "arena": "models", "category": "3d", - "elo": 1098, + "elo": 1090, "win_rate": 41.1, - "rank": 89 + "rank": 90 }, { "arena": "models", "category": "asciiart", - "elo": 1153, + "elo": 1154, "win_rate": 49.3, - "rank": 44 + "rank": 45 }, { "arena": "models", @@ -2748,37 +2709,37 @@ { "arena": "models", "category": "dataviz", - "elo": 1135, - "win_rate": 45.7, - "rank": 83 + "elo": 1133, + "win_rate": 45.6, + "rank": 84 }, { "arena": "models", "category": "gamedev", - "elo": 1113, + "elo": 1110, "win_rate": 44.7, - "rank": 82 + "rank": 84 }, { "arena": "models", "category": "svg", - "elo": 1036, + "elo": 1022, "win_rate": 39.1, - "rank": 75 + "rank": 79 }, { "arena": "models", "category": "uicomponent", - "elo": 1114, + "elo": 1110, "win_rate": 42.6, - "rank": 83 + "rank": 84 }, { "arena": "models", "category": "website", "elo": 1130, "win_rate": 45.1, - "rank": 87 + "rank": 89 } ], "artificial_analysis": { @@ -2850,16 +2811,16 @@ { "arena": "models", "category": "3d", - "elo": 1179, + "elo": 1171, "win_rate": 51.9, - "rank": 56 + "rank": 58 }, { "arena": "models", "category": "asciiart", - "elo": 1179, + "elo": 1181, "win_rate": 51.5, - "rank": 27 + "rank": 28 }, { "arena": "models", @@ -2871,37 +2832,37 @@ { "arena": "models", "category": "dataviz", - "elo": 1176, + "elo": 1175, "win_rate": 56.4, - "rank": 65 + "rank": 66 }, { "arena": "models", "category": "gamedev", - "elo": 1187, + "elo": 1184, "win_rate": 58.4, - "rank": 54 + "rank": 56 }, { "arena": "models", "category": "svg", - "elo": 1163, + "elo": 1150, "win_rate": 60.8, - "rank": 38 + "rank": 41 }, { "arena": "models", "category": "uicomponent", - "elo": 1178, + "elo": 1174, "win_rate": 57.8, - "rank": 62 + "rank": 63 }, { "arena": "models", "category": "website", - "elo": 1185, + "elo": 1184, "win_rate": 55.3, - "rank": 65 + "rank": 67 } ] }, @@ -2968,16 +2929,16 @@ { "arena": "models", "category": "3d", - "elo": 1179, + "elo": 1171, "win_rate": 51.9, - "rank": 56 + "rank": 58 }, { "arena": "models", "category": "asciiart", - "elo": 1179, + "elo": 1181, "win_rate": 51.5, - "rank": 27 + "rank": 28 }, { "arena": "models", @@ -2989,37 +2950,37 @@ { "arena": "models", "category": "dataviz", - "elo": 1176, + "elo": 1175, "win_rate": 56.4, - "rank": 65 + "rank": 66 }, { "arena": "models", "category": "gamedev", - "elo": 1187, + "elo": 1184, "win_rate": 58.4, - "rank": 54 + "rank": 56 }, { "arena": "models", "category": "svg", - "elo": 1163, + "elo": 1150, "win_rate": 60.8, - "rank": 38 + "rank": 41 }, { "arena": "models", "category": "uicomponent", - "elo": 1178, + "elo": 1174, "win_rate": 57.8, - "rank": 62 + "rank": 63 }, { "arena": "models", "category": "website", - "elo": 1185, + "elo": 1184, "win_rate": 55.3, - "rank": 65 + "rank": 67 } ] }, @@ -3082,14 +3043,14 @@ { "arena": "models", "category": "3d", - "elo": 1240, + "elo": 1232, "win_rate": 58.5, - "rank": 34 + "rank": 35 }, { "arena": "models", "category": "asciiart", - "elo": 1202, + "elo": 1204, "win_rate": 54.8, "rank": 25 }, @@ -3103,63 +3064,63 @@ { "arena": "models", "category": "dataviz", - "elo": 1253, + "elo": 1252, "win_rate": 58.5, - "rank": 29 + "rank": 30 }, { "arena": "models", "category": "gamedev", - "elo": 1244, + "elo": 1242, "win_rate": 59.3, - "rank": 33 + "rank": 35 }, { "arena": "models", "category": "svg", - "elo": 1191, + "elo": 1179, "win_rate": 58.7, - "rank": 31 + "rank": 32 }, { "arena": "models", "category": "uicomponent", - "elo": 1252, + "elo": 1248, "win_rate": 58.1, - "rank": 35 + "rank": 36 }, { "arena": "models", "category": "website", "elo": 1255, "win_rate": 59.7, - "rank": 35 + "rank": 36 }, { "arena": "agents", "category": "androidnative", - "elo": 1190, + "elo": 1194, "win_rate": 65.5, "rank": 17 }, { "arena": "agents", "category": "fullstack", - "elo": 1153, + "elo": 1165, "win_rate": 60.2, "rank": 24 }, { "arena": "agents", "category": "mobileapps", - "elo": 1217, + "elo": 1187, "win_rate": 60.7, - "rank": 16 + "rank": 19 }, { "arena": "agents", "category": "webapps", - "elo": 1165, + "elo": 1170, "win_rate": 55.1, "rank": 26 } @@ -3222,14 +3183,14 @@ { "arena": "models", "category": "3d", - "elo": 1240, + "elo": 1232, "win_rate": 58.5, - "rank": 34 + "rank": 35 }, { "arena": "models", "category": "asciiart", - "elo": 1202, + "elo": 1204, "win_rate": 54.8, "rank": 25 }, @@ -3243,63 +3204,63 @@ { "arena": "models", "category": "dataviz", - "elo": 1253, + "elo": 1252, "win_rate": 58.5, - "rank": 29 + "rank": 30 }, { "arena": "models", "category": "gamedev", - "elo": 1244, + "elo": 1242, "win_rate": 59.3, - "rank": 33 + "rank": 35 }, { "arena": "models", "category": "svg", - "elo": 1191, + "elo": 1179, "win_rate": 58.7, - "rank": 31 + "rank": 32 }, { "arena": "models", "category": "uicomponent", - "elo": 1252, + "elo": 1248, "win_rate": 58.1, - "rank": 35 + "rank": 36 }, { "arena": "models", "category": "website", "elo": 1255, "win_rate": 59.7, - "rank": 35 + "rank": 36 }, { "arena": "agents", "category": "androidnative", - "elo": 1190, + "elo": 1194, "win_rate": 65.5, "rank": 17 }, { "arena": "agents", "category": "fullstack", - "elo": 1153, + "elo": 1165, "win_rate": 60.2, "rank": 24 }, { "arena": "agents", "category": "mobileapps", - "elo": 1217, + "elo": 1187, "win_rate": 60.7, - "rank": 16 + "rank": 19 }, { "arena": "agents", "category": "webapps", - "elo": 1165, + "elo": 1170, "win_rate": 55.1, "rank": 26 } @@ -3366,93 +3327,93 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1215, - "win_rate": 50.3, - "rank": 8 + "elo": 1213, + "win_rate": 50, + "rank": 9 }, { "arena": "agents", "category": "androidnative", - "elo": 1216, - "win_rate": 64.1, + "elo": 1219, + "win_rate": 64.2, "rank": 11 }, { "arena": "agents", "category": "fullstack", - "elo": 1216, - "win_rate": 60, + "elo": 1228, + "win_rate": 59.9, "rank": 13 }, { "arena": "agents", "category": "mobileapps", - "elo": 1237, - "win_rate": 59.7, - "rank": 12 + "elo": 1207, + "win_rate": 59.6, + "rank": 15 }, { "arena": "agents", "category": "webapps", - "elo": 1210, - "win_rate": 57, + "elo": 1216, + "win_rate": 57.1, "rank": 19 }, { "arena": "models", "category": "3d", - "elo": 1300, + "elo": 1293, "win_rate": 62.5, - "rank": 16 + "rank": 17 }, { "arena": "models", "category": "asciiart", - "elo": 1267, + "elo": 1269, "win_rate": 61.9, - "rank": 13 + "rank": 14 }, { "arena": "models", "category": "codecategories", "elo": 1298, "win_rate": 61.2, - "rank": 14 + "rank": 15 }, { "arena": "models", "category": "dataviz", - "elo": 1291, + "elo": 1289, "win_rate": 58.7, - "rank": 14 + "rank": 15 }, { "arena": "models", "category": "gamedev", - "elo": 1293, + "elo": 1290, "win_rate": 61, - "rank": 16 + "rank": 18 }, { "arena": "models", "category": "svg", - "elo": 1239, + "elo": 1226, "win_rate": 60.9, - "rank": 14 + "rank": 17 }, { "arena": "models", "category": "uicomponent", - "elo": 1299, + "elo": 1294, "win_rate": 59.8, - "rank": 17 + "rank": 18 }, { "arena": "models", "category": "website", "elo": 1299, - "win_rate": 61.2, - "rank": 12 + "win_rate": 61.1, + "rank": 13 } ] }, @@ -3519,93 +3480,93 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1215, - "win_rate": 50.3, - "rank": 8 + "elo": 1213, + "win_rate": 50, + "rank": 9 }, { "arena": "agents", "category": "androidnative", - "elo": 1216, - "win_rate": 64.1, + "elo": 1219, + "win_rate": 64.2, "rank": 11 }, { "arena": "agents", "category": "fullstack", - "elo": 1216, - "win_rate": 60, + "elo": 1228, + "win_rate": 59.9, "rank": 13 }, { "arena": "agents", "category": "mobileapps", - "elo": 1237, - "win_rate": 59.7, - "rank": 12 + "elo": 1207, + "win_rate": 59.6, + "rank": 15 }, { "arena": "agents", "category": "webapps", - "elo": 1210, - "win_rate": 57, + "elo": 1216, + "win_rate": 57.1, "rank": 19 }, { "arena": "models", "category": "3d", - "elo": 1300, + "elo": 1293, "win_rate": 62.5, - "rank": 16 + "rank": 17 }, { "arena": "models", "category": "asciiart", - "elo": 1267, + "elo": 1269, "win_rate": 61.9, - "rank": 13 + "rank": 14 }, { "arena": "models", "category": "codecategories", "elo": 1298, "win_rate": 61.2, - "rank": 14 + "rank": 15 }, { "arena": "models", "category": "dataviz", - "elo": 1291, + "elo": 1289, "win_rate": 58.7, - "rank": 14 + "rank": 15 }, { "arena": "models", "category": "gamedev", - "elo": 1293, + "elo": 1290, "win_rate": 61, - "rank": 16 + "rank": 18 }, { "arena": "models", "category": "svg", - "elo": 1239, + "elo": 1226, "win_rate": 60.9, - "rank": 14 + "rank": 17 }, { "arena": "models", "category": "uicomponent", - "elo": 1299, + "elo": 1294, "win_rate": 59.8, - "rank": 17 + "rank": 18 }, { "arena": "models", "category": "website", "elo": 1299, - "win_rate": 61.2, - "rank": 12 + "win_rate": 61.1, + "rank": 13 } ] }, @@ -3799,8 +3760,8 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1238, - "win_rate": 55.8, + "elo": 1239, + "win_rate": 55.9, "rank": 4 }, { @@ -3834,37 +3795,37 @@ { "arena": "agents", "category": "androidnative", - "elo": 1246, - "win_rate": 56.3, + "elo": 1248, + "win_rate": 56.4, "rank": 8 }, { "arena": "agents", "category": "fullstack", - "elo": 1245, - "win_rate": 55.3, - "rank": 10 + "elo": 1259, + "win_rate": 55.6, + "rank": 9 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1230, - "win_rate": 55.5, - "rank": 10 + "elo": 1236, + "win_rate": 55.8, + "rank": 9 }, { "arena": "agents", "category": "htmlslides", - "elo": 1223, - "win_rate": 58, - "rank": 4 + "elo": 1217, + "win_rate": 58.3, + "rank": 5 }, { "arena": "agents", "category": "mobileapps", - "elo": 1251, - "win_rate": 56.2, - "rank": 8 + "elo": 1227, + "win_rate": 56.6, + "rank": 9 }, { "arena": "agents", @@ -3883,28 +3844,28 @@ { "arena": "agents", "category": "webapps", - "elo": 1238, - "win_rate": 51.7, + "elo": 1242, + "win_rate": 51.8, "rank": 12 }, { "arena": "models", "category": "3d", - "elo": 1249, - "win_rate": 52.5, - "rank": 33 + "elo": 1241, + "win_rate": 52.1, + "rank": 34 }, { "arena": "models", "category": "asciiart", - "elo": 1288, - "win_rate": 62.5, - "rank": 8 + "elo": 1294, + "win_rate": 62.8, + "rank": 6 }, { "arena": "models", "category": "codecategories", - "elo": 1261, + "elo": 1262, "win_rate": 52.9, "rank": 31 }, @@ -3913,35 +3874,35 @@ "category": "dataviz", "elo": 1249, "win_rate": 53.1, - "rank": 30 + "rank": 31 }, { "arena": "models", "category": "gamedev", "elo": 1275, "win_rate": 53.4, - "rank": 24 + "rank": 23 }, { "arena": "models", "category": "svg", - "elo": 1199, - "win_rate": 51.9, - "rank": 24 + "elo": 1194, + "win_rate": 52.5, + "rank": 26 }, { "arena": "models", "category": "uicomponent", - "elo": 1270, - "win_rate": 53.9, - "rank": 30 + "elo": 1266, + "win_rate": 53.8, + "rank": 32 }, { "arena": "models", "category": "website", - "elo": 1263, + "elo": 1264, "win_rate": 53.2, - "rank": 32 + "rank": 33 } ], "artificial_analysis": { @@ -4010,8 +3971,8 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1238, - "win_rate": 55.8, + "elo": 1239, + "win_rate": 55.9, "rank": 4 }, { @@ -4045,37 +4006,37 @@ { "arena": "agents", "category": "androidnative", - "elo": 1246, - "win_rate": 56.3, + "elo": 1248, + "win_rate": 56.4, "rank": 8 }, { "arena": "agents", "category": "fullstack", - "elo": 1245, - "win_rate": 55.3, - "rank": 10 + "elo": 1259, + "win_rate": 55.6, + "rank": 9 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1230, - "win_rate": 55.5, - "rank": 10 + "elo": 1236, + "win_rate": 55.8, + "rank": 9 }, { "arena": "agents", "category": "htmlslides", - "elo": 1223, - "win_rate": 58, - "rank": 4 + "elo": 1217, + "win_rate": 58.3, + "rank": 5 }, { "arena": "agents", "category": "mobileapps", - "elo": 1251, - "win_rate": 56.2, - "rank": 8 + "elo": 1227, + "win_rate": 56.6, + "rank": 9 }, { "arena": "agents", @@ -4094,28 +4055,28 @@ { "arena": "agents", "category": "webapps", - "elo": 1238, - "win_rate": 51.7, + "elo": 1242, + "win_rate": 51.8, "rank": 12 }, { "arena": "models", "category": "3d", - "elo": 1249, - "win_rate": 52.5, - "rank": 33 + "elo": 1241, + "win_rate": 52.1, + "rank": 34 }, { "arena": "models", "category": "asciiart", - "elo": 1288, - "win_rate": 62.5, - "rank": 8 + "elo": 1294, + "win_rate": 62.8, + "rank": 6 }, { "arena": "models", "category": "codecategories", - "elo": 1261, + "elo": 1262, "win_rate": 52.9, "rank": 31 }, @@ -4124,35 +4085,35 @@ "category": "dataviz", "elo": 1249, "win_rate": 53.1, - "rank": 30 + "rank": 31 }, { "arena": "models", "category": "gamedev", "elo": 1275, "win_rate": 53.4, - "rank": 24 + "rank": 23 }, { "arena": "models", "category": "svg", - "elo": 1199, - "win_rate": 51.9, - "rank": 24 + "elo": 1194, + "win_rate": 52.5, + "rank": 26 }, { "arena": "models", "category": "uicomponent", - "elo": 1270, - "win_rate": 53.9, - "rank": 30 + "elo": 1266, + "win_rate": 53.8, + "rank": 32 }, { "arena": "models", "category": "website", - "elo": 1263, + "elo": 1264, "win_rate": 53.2, - "rank": 32 + "rank": 33 } ], "artificial_analysis": { @@ -4223,30 +4184,30 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1261, - "win_rate": 53.8, + "elo": 1266, + "win_rate": 54.3, "rank": 2 }, { "arena": "agents", "category": "androidnative", - "elo": 1273, + "elo": 1272, "win_rate": 56.1, "rank": 3 }, { "arena": "agents", "category": "fullstack", - "elo": 1298, - "win_rate": 56.5, + "elo": 1313, + "win_rate": 57.1, "rank": 5 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1277, - "win_rate": 54, - "rank": 3 + "elo": 1299, + "win_rate": 56.2, + "rank": 2 }, { "arena": "agents", @@ -4258,72 +4219,72 @@ { "arena": "agents", "category": "python-pptxslides", - "elo": 1265, - "win_rate": 54.1, + "elo": 1272, + "win_rate": 55.2, "rank": 5 }, { "arena": "agents", "category": "webapps", - "elo": 1274, - "win_rate": 54.7, + "elo": 1275, + "win_rate": 55, "rank": 6 }, { "arena": "models", "category": "3d", - "elo": 1358, - "win_rate": 61.2, - "rank": 6 + "elo": 1350, + "win_rate": 61, + "rank": 7 }, { "arena": "models", "category": "asciiart", - "elo": 1373, - "win_rate": 69.7, + "elo": 1365, + "win_rate": 68.1, "rank": 1 }, { "arena": "models", "category": "codecategories", - "elo": 1331, - "win_rate": 58, + "elo": 1333, + "win_rate": 58.1, "rank": 4 }, { "arena": "models", "category": "dataviz", - "elo": 1346, + "elo": 1345, "win_rate": 60.7, - "rank": 5 + "rank": 6 }, { "arena": "models", "category": "gamedev", "elo": 1350, - "win_rate": 59, - "rank": 6 + "win_rate": 59.3, + "rank": 5 }, { "arena": "models", "category": "svg", - "elo": 1333, - "win_rate": 61.3, - "rank": 2 + "elo": 1312, + "win_rate": 58.7, + "rank": 3 }, { "arena": "models", "category": "uicomponent", - "elo": 1359, - "win_rate": 60.9, - "rank": 3 + "elo": 1355, + "win_rate": 60.8, + "rank": 4 }, { "arena": "models", "category": "website", - "elo": 1316, - "win_rate": 56.2, - "rank": 5 + "elo": 1317, + "win_rate": 56.4, + "rank": 7 } ], "artificial_analysis": { @@ -4392,30 +4353,30 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1261, - "win_rate": 53.8, + "elo": 1266, + "win_rate": 54.3, "rank": 2 }, { "arena": "agents", "category": "androidnative", - "elo": 1273, + "elo": 1272, "win_rate": 56.1, "rank": 3 }, { "arena": "agents", "category": "fullstack", - "elo": 1298, - "win_rate": 56.5, + "elo": 1313, + "win_rate": 57.1, "rank": 5 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1277, - "win_rate": 54, - "rank": 3 + "elo": 1299, + "win_rate": 56.2, + "rank": 2 }, { "arena": "agents", @@ -4427,72 +4388,72 @@ { "arena": "agents", "category": "python-pptxslides", - "elo": 1265, - "win_rate": 54.1, + "elo": 1272, + "win_rate": 55.2, "rank": 5 }, { "arena": "agents", "category": "webapps", - "elo": 1274, - "win_rate": 54.7, + "elo": 1275, + "win_rate": 55, "rank": 6 }, { "arena": "models", "category": "3d", - "elo": 1358, - "win_rate": 61.2, - "rank": 6 + "elo": 1350, + "win_rate": 61, + "rank": 7 }, { "arena": "models", "category": "asciiart", - "elo": 1373, - "win_rate": 69.7, + "elo": 1365, + "win_rate": 68.1, "rank": 1 }, { "arena": "models", "category": "codecategories", - "elo": 1331, - "win_rate": 58, + "elo": 1333, + "win_rate": 58.1, "rank": 4 }, { "arena": "models", "category": "dataviz", - "elo": 1346, + "elo": 1345, "win_rate": 60.7, - "rank": 5 + "rank": 6 }, { "arena": "models", "category": "gamedev", "elo": 1350, - "win_rate": 59, - "rank": 6 + "win_rate": 59.3, + "rank": 5 }, { "arena": "models", "category": "svg", - "elo": 1333, - "win_rate": 61.3, - "rank": 2 + "elo": 1312, + "win_rate": 58.7, + "rank": 3 }, { "arena": "models", "category": "uicomponent", - "elo": 1359, - "win_rate": 60.9, - "rank": 3 + "elo": 1355, + "win_rate": 60.8, + "rank": 4 }, { "arena": "models", "category": "website", - "elo": 1316, - "win_rate": 56.2, - "rank": 5 + "elo": 1317, + "win_rate": 56.4, + "rank": 7 } ], "artificial_analysis": { @@ -4559,7 +4520,57 @@ "details": "/api/v1/models/anthropic/claude-opus-5.5-20260921/endpoints" }, "benchmarks": { - "design_arena": [], + "design_arena": [ + { + "arena": "agents", + "category": "mobileapps", + "elo": 1340, + "win_rate": 66.8, + "rank": 2 + }, + { + "arena": "models", + "category": "3d", + "elo": 1454, + "win_rate": 72.5, + "rank": 1 + }, + { + "arena": "models", + "category": "dataviz", + "elo": 1373, + "win_rate": 64.2, + "rank": 1 + }, + { + "arena": "models", + "category": "gamedev", + "elo": 1484, + "win_rate": 74.5, + "rank": 1 + }, + { + "arena": "models", + "category": "svg", + "elo": 1332, + "win_rate": 47.4, + "rank": 1 + }, + { + "arena": "models", + "category": "uicomponent", + "elo": 1381, + "win_rate": 62, + "rank": 1 + }, + { + "arena": "models", + "category": "website", + "elo": 1361, + "win_rate": 61.1, + "rank": 2 + } + ], "artificial_analysis": { "intelligence_index": 57.6, "coding_index": null, @@ -4621,7 +4632,57 @@ "details": "/api/v1/models/anthropic/claude-opus-5.5-20260921/endpoints" }, "benchmarks": { - "design_arena": [], + "design_arena": [ + { + "arena": "agents", + "category": "mobileapps", + "elo": 1340, + "win_rate": 66.8, + "rank": 2 + }, + { + "arena": "models", + "category": "3d", + "elo": 1454, + "win_rate": 72.5, + "rank": 1 + }, + { + "arena": "models", + "category": "dataviz", + "elo": 1373, + "win_rate": 64.2, + "rank": 1 + }, + { + "arena": "models", + "category": "gamedev", + "elo": 1484, + "win_rate": 74.5, + "rank": 1 + }, + { + "arena": "models", + "category": "svg", + "elo": 1332, + "win_rate": 47.4, + "rank": 1 + }, + { + "arena": "models", + "category": "uicomponent", + "elo": 1381, + "win_rate": 62, + "rank": 1 + }, + { + "arena": "models", + "category": "website", + "elo": 1361, + "win_rate": 61.1, + "rank": 2 + } + ], "artificial_analysis": { "intelligence_index": 57.6, "coding_index": null, @@ -4703,51 +4764,51 @@ { "arena": "models", "category": "3d", - "elo": 1165, + "elo": 1157, "win_rate": 57.8, - "rank": 61 + "rank": 63 }, { "arena": "models", "category": "codecategories", - "elo": 1151, + "elo": 1150, "win_rate": 53.4, - "rank": 77 + "rank": 78 }, { "arena": "models", "category": "dataviz", - "elo": 1168, + "elo": 1167, "win_rate": 56.5, - "rank": 70 + "rank": 71 }, { "arena": "models", "category": "gamedev", - "elo": 1154, + "elo": 1151, "win_rate": 54.8, - "rank": 66 + "rank": 69 }, { "arena": "models", "category": "svg", - "elo": 1089, + "elo": 1075, "win_rate": 51.1, - "rank": 60 + "rank": 66 }, { "arena": "models", "category": "uicomponent", - "elo": 1142, + "elo": 1139, "win_rate": 57.9, - "rank": 75 + "rank": 76 }, { "arena": "models", "category": "website", "elo": 1154, "win_rate": 52.4, - "rank": 79 + "rank": 81 } ], "artificial_analysis": { @@ -4832,14 +4893,14 @@ { "arena": "models", "category": "3d", - "elo": 1183, + "elo": 1176, "win_rate": 51, - "rank": 54 + "rank": 56 }, { "arena": "models", "category": "asciiart", - "elo": 1217, + "elo": 1219, "win_rate": 56.1, "rank": 20 }, @@ -4853,56 +4914,56 @@ { "arena": "models", "category": "dataviz", - "elo": 1178, + "elo": 1176, "win_rate": 47.4, - "rank": 61 + "rank": 65 }, { "arena": "models", "category": "gamedev", - "elo": 1182, + "elo": 1179, "win_rate": 51.1, - "rank": 57 + "rank": 59 }, { "arena": "models", "category": "svg", - "elo": 1126, + "elo": 1113, "win_rate": 52.2, - "rank": 52 + "rank": 55 }, { "arena": "models", "category": "uicomponent", - "elo": 1187, + "elo": 1183, "win_rate": 49.4, - "rank": 58 + "rank": 59 }, { "arena": "models", "category": "website", "elo": 1197, "win_rate": 51.8, - "rank": 58 + "rank": 60 }, { "arena": "agents", "category": "fullstack", - "elo": 1047, + "elo": 1059, "win_rate": 43.7, "rank": 35 }, { "arena": "agents", "category": "mobileapps", - "elo": 1165, + "elo": 1135, "win_rate": 52.9, - "rank": 29 + "rank": 31 }, { "arena": "agents", "category": "webapps", - "elo": 1065, + "elo": 1070, "win_rate": 43.2, "rank": 36 } @@ -4988,14 +5049,14 @@ { "arena": "models", "category": "3d", - "elo": 1183, + "elo": 1176, "win_rate": 51, - "rank": 54 + "rank": 56 }, { "arena": "models", "category": "asciiart", - "elo": 1217, + "elo": 1219, "win_rate": 56.1, "rank": 20 }, @@ -5009,56 +5070,56 @@ { "arena": "models", "category": "dataviz", - "elo": 1178, + "elo": 1176, "win_rate": 47.4, - "rank": 61 + "rank": 65 }, { "arena": "models", "category": "gamedev", - "elo": 1182, + "elo": 1179, "win_rate": 51.1, - "rank": 57 + "rank": 59 }, { "arena": "models", "category": "svg", - "elo": 1126, + "elo": 1113, "win_rate": 52.2, - "rank": 52 + "rank": 55 }, { "arena": "models", "category": "uicomponent", - "elo": 1187, + "elo": 1183, "win_rate": 49.4, - "rank": 58 + "rank": 59 }, { "arena": "models", "category": "website", "elo": 1197, "win_rate": 51.8, - "rank": 58 + "rank": 60 }, { "arena": "agents", "category": "fullstack", - "elo": 1047, + "elo": 1059, "win_rate": 43.7, "rank": 35 }, { "arena": "agents", "category": "mobileapps", - "elo": 1165, + "elo": 1135, "win_rate": 52.9, - "rank": 29 + "rank": 31 }, { "arena": "agents", "category": "webapps", - "elo": 1065, + "elo": 1070, "win_rate": 43.2, "rank": 36 } @@ -5130,21 +5191,21 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1177, + "elo": 1179, "win_rate": 52.2, - "rank": 16 + "rank": 15 }, { "arena": "agents", "category": "androidnative", - "elo": 1210, + "elo": 1214, "win_rate": 62, "rank": 13 }, { "arena": "agents", "category": "fullstack", - "elo": 1209, + "elo": 1222, "win_rate": 64.3, "rank": 14 }, @@ -5153,77 +5214,77 @@ "category": "godotgamedev", "elo": 1226, "win_rate": 60.6, - "rank": 12 + "rank": 13 }, { "arena": "agents", "category": "mobileapps", - "elo": 1240, + "elo": 1210, "win_rate": 63.6, - "rank": 11 + "rank": 14 }, { "arena": "agents", "category": "webapps", - "elo": 1196, + "elo": 1201, "win_rate": 57, "rank": 23 }, { "arena": "models", "category": "3d", - "elo": 1260, + "elo": 1253, "win_rate": 57.6, - "rank": 30 + "rank": 31 }, { "arena": "models", "category": "asciiart", - "elo": 1247, + "elo": 1249, "win_rate": 60.1, - "rank": 16 + "rank": 17 }, { "arena": "models", "category": "codecategories", "elo": 1285, "win_rate": 59.4, - "rank": 18 + "rank": 19 }, { "arena": "models", "category": "dataviz", - "elo": 1289, + "elo": 1288, "win_rate": 58.2, - "rank": 15 + "rank": 16 }, { "arena": "models", "category": "gamedev", - "elo": 1275, + "elo": 1272, "win_rate": 58.8, - "rank": 25 + "rank": 28 }, { "arena": "models", "category": "svg", - "elo": 1207, + "elo": 1195, "win_rate": 58.7, - "rank": 22 + "rank": 24 }, { "arena": "models", "category": "uicomponent", - "elo": 1286, + "elo": 1282, "win_rate": 58.3, - "rank": 22 + "rank": 24 }, { "arena": "models", "category": "website", - "elo": 1292, + "elo": 1293, "win_rate": 60, - "rank": 15 + "rank": 16 } ], "artificial_analysis": { @@ -5293,21 +5354,21 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1177, + "elo": 1179, "win_rate": 52.2, - "rank": 16 + "rank": 15 }, { "arena": "agents", "category": "androidnative", - "elo": 1210, + "elo": 1214, "win_rate": 62, "rank": 13 }, { "arena": "agents", "category": "fullstack", - "elo": 1209, + "elo": 1222, "win_rate": 64.3, "rank": 14 }, @@ -5316,77 +5377,77 @@ "category": "godotgamedev", "elo": 1226, "win_rate": 60.6, - "rank": 12 + "rank": 13 }, { "arena": "agents", "category": "mobileapps", - "elo": 1240, + "elo": 1210, "win_rate": 63.6, - "rank": 11 + "rank": 14 }, { "arena": "agents", "category": "webapps", - "elo": 1196, + "elo": 1201, "win_rate": 57, "rank": 23 }, { "arena": "models", "category": "3d", - "elo": 1260, + "elo": 1253, "win_rate": 57.6, - "rank": 30 + "rank": 31 }, { "arena": "models", "category": "asciiart", - "elo": 1247, + "elo": 1249, "win_rate": 60.1, - "rank": 16 + "rank": 17 }, { "arena": "models", "category": "codecategories", "elo": 1285, "win_rate": 59.4, - "rank": 18 + "rank": 19 }, { "arena": "models", "category": "dataviz", - "elo": 1289, + "elo": 1288, "win_rate": 58.2, - "rank": 15 + "rank": 16 }, { "arena": "models", "category": "gamedev", - "elo": 1275, + "elo": 1272, "win_rate": 58.8, - "rank": 25 + "rank": 28 }, { "arena": "models", "category": "svg", - "elo": 1207, + "elo": 1195, "win_rate": 58.7, - "rank": 22 + "rank": 24 }, { "arena": "models", "category": "uicomponent", - "elo": 1286, + "elo": 1282, "win_rate": 58.3, - "rank": 22 + "rank": 24 }, { "arena": "models", "category": "website", - "elo": 1292, + "elo": 1293, "win_rate": 60, - "rank": 15 + "rank": 16 } ], "artificial_analysis": { @@ -5455,112 +5516,112 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1227, - "win_rate": 52.3, + "elo": 1228, + "win_rate": 52.4, "rank": 7 }, { "arena": "agents", "category": "androidnative", - "elo": 1240, + "elo": 1239, "win_rate": 54.6, "rank": 9 }, { "arena": "agents", "category": "fullstack", - "elo": 1246, - "win_rate": 53.9, - "rank": 8 + "elo": 1258, + "win_rate": 54, + "rank": 10 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1225, - "win_rate": 54.3, - "rank": 13 + "elo": 1231, + "win_rate": 54.7, + "rank": 12 }, { "arena": "agents", "category": "htmlslides", - "elo": 1220, - "win_rate": 53.7, - "rank": 5 + "elo": 1221, + "win_rate": 55.5, + "rank": 4 }, { "arena": "agents", "category": "mobileapps", - "elo": 1241, - "win_rate": 52.9, - "rank": 10 + "elo": 1220, + "win_rate": 51.9, + "rank": 11 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1216, - "win_rate": 50.1, + "elo": 1219, + "win_rate": 51.3, "rank": 13 }, { "arena": "agents", "category": "webapps", - "elo": 1250, - "win_rate": 53.6, + "elo": 1256, + "win_rate": 54, "rank": 10 }, { "arena": "models", "category": "3d", - "elo": 1285, - "win_rate": 54.5, - "rank": 20 + "elo": 1279, + "win_rate": 54.4, + "rank": 21 }, { "arena": "models", "category": "asciiart", - "elo": 1218, - "win_rate": 52.1, + "elo": 1224, + "win_rate": 52.3, "rank": 19 }, { "arena": "models", "category": "codecategories", - "elo": 1285, - "win_rate": 53.4, - "rank": 19 + "elo": 1286, + "win_rate": 53.3, + "rank": 17 }, { "arena": "models", "category": "dataviz", "elo": 1258, - "win_rate": 52.7, - "rank": 28 + "win_rate": 52.9, + "rank": 29 }, { "arena": "models", "category": "gamedev", - "elo": 1302, - "win_rate": 53.6, - "rank": 13 + "elo": 1297, + "win_rate": 53.3, + "rank": 16 }, { "arena": "models", "category": "svg", - "elo": 1199, - "win_rate": 50.7, - "rank": 25 + "elo": 1188, + "win_rate": 50, + "rank": 28 }, { "arena": "models", "category": "uicomponent", - "elo": 1295, - "win_rate": 54.8, - "rank": 18 + "elo": 1290, + "win_rate": 54.5, + "rank": 20 }, { "arena": "models", "category": "website", - "elo": 1283, + "elo": 1284, "win_rate": 53, "rank": 19 } @@ -5631,112 +5692,112 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1227, - "win_rate": 52.3, + "elo": 1228, + "win_rate": 52.4, "rank": 7 }, { "arena": "agents", "category": "androidnative", - "elo": 1240, + "elo": 1239, "win_rate": 54.6, "rank": 9 }, { "arena": "agents", "category": "fullstack", - "elo": 1246, - "win_rate": 53.9, - "rank": 8 + "elo": 1258, + "win_rate": 54, + "rank": 10 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1225, - "win_rate": 54.3, - "rank": 13 + "elo": 1231, + "win_rate": 54.7, + "rank": 12 }, { "arena": "agents", "category": "htmlslides", - "elo": 1220, - "win_rate": 53.7, - "rank": 5 + "elo": 1221, + "win_rate": 55.5, + "rank": 4 }, { "arena": "agents", "category": "mobileapps", - "elo": 1241, - "win_rate": 52.9, - "rank": 10 + "elo": 1220, + "win_rate": 51.9, + "rank": 11 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1216, - "win_rate": 50.1, + "elo": 1219, + "win_rate": 51.3, "rank": 13 }, { "arena": "agents", "category": "webapps", - "elo": 1250, - "win_rate": 53.6, + "elo": 1256, + "win_rate": 54, "rank": 10 }, { "arena": "models", "category": "3d", - "elo": 1285, - "win_rate": 54.5, - "rank": 20 + "elo": 1279, + "win_rate": 54.4, + "rank": 21 }, { "arena": "models", "category": "asciiart", - "elo": 1218, - "win_rate": 52.1, + "elo": 1224, + "win_rate": 52.3, "rank": 19 }, { "arena": "models", "category": "codecategories", - "elo": 1285, - "win_rate": 53.4, - "rank": 19 + "elo": 1286, + "win_rate": 53.3, + "rank": 17 }, { "arena": "models", "category": "dataviz", "elo": 1258, - "win_rate": 52.7, - "rank": 28 + "win_rate": 52.9, + "rank": 29 }, { "arena": "models", "category": "gamedev", - "elo": 1302, - "win_rate": 53.6, - "rank": 13 + "elo": 1297, + "win_rate": 53.3, + "rank": 16 }, { "arena": "models", "category": "svg", - "elo": 1199, - "win_rate": 50.7, - "rank": 25 + "elo": 1188, + "win_rate": 50, + "rank": 28 }, { "arena": "models", "category": "uicomponent", - "elo": 1295, - "win_rate": 54.8, - "rank": 18 + "elo": 1290, + "win_rate": 54.5, + "rank": 20 }, { "arena": "models", "category": "website", - "elo": 1283, + "elo": 1284, "win_rate": 53, "rank": 19 } @@ -5754,6 +5815,132 @@ "default_effort": "high" } }, + { + "id": "anthropic/claude-sonnet-5.5", + "canonical_slug": "anthropic/claude-sonnet-5.5-20260928", + "hugging_face_id": null, + "name": "Anthropic: Claude Sonnet 5.5", + "created": 1790618686, + "description": "Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, succeeding Claude Sonnet 5 as a direct upgrade. It is especially strong at building features, fixing bugs, and producing...", + "context_length": 1000000, + "architecture": { + "modality": "text+image+file->text", + "input_modalities": ["text", "image", "file"], + "output_modalities": ["text"], + "tokenizer": "Claude", + "instruct_type": null + }, + "pricing": { + "prompt": "0.000002", + "completion": "0.00001", + "web_search": "0.01", + "input_cache_read": "0.0000002", + "input_cache_write": "0.0000025", + "input_cache_write_1h": "0.000004" + }, + "top_provider": { + "context_length": 1000000, + "max_completion_tokens": 128000, + "is_moderated": true + }, + "per_request_limits": null, + "supported_parameters": [ + "include_reasoning", + "max_completion_tokens", + "max_tokens", + "reasoning", + "reasoning_effort", + "response_format", + "stop", + "structured_outputs", + "temperature", + "tool_choice", + "tools", + "verbosity" + ], + "default_parameters": {}, + "supported_voices": null, + "knowledge_cutoff": null, + "expiration_date": null, + "links": { + "details": "/api/v1/models/anthropic/claude-sonnet-5.5-20260928/endpoints" + }, + "benchmarks": { + "design_arena": [], + "artificial_analysis": { + "intelligence_index": 56, + "coding_index": null, + "agentic_index": null + } + }, + "reasoning": { + "mandatory": true, + "supported_efforts": ["max", "xhigh", "high", "medium", "low"], + "default_effort": "high" + } + }, + { + "id": "anthropic/claude-sonnet-5.5:batch", + "canonical_slug": "anthropic/claude-sonnet-5.5-20260928", + "hugging_face_id": null, + "name": "Anthropic: Claude Sonnet 5.5 (batch)", + "created": 1790618686, + "description": "Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, succeeding Claude Sonnet 5 as a direct upgrade. It is especially strong at building features, fixing bugs, and producing...", + "context_length": 1000000, + "architecture": { + "modality": "text+image+file->text", + "input_modalities": ["text", "image", "file"], + "output_modalities": ["text"], + "tokenizer": "Claude", + "instruct_type": null + }, + "pricing": { + "prompt": "0.000001", + "completion": "0.000005", + "web_search": "0.01", + "input_cache_read": "0.0000001", + "input_cache_write": "0.00000125", + "input_cache_write_1h": "0.000002" + }, + "top_provider": { + "context_length": 1000000, + "max_completion_tokens": 128000, + "is_moderated": true + }, + "per_request_limits": null, + "supported_parameters": [ + "include_reasoning", + "max_tokens", + "reasoning", + "reasoning_effort", + "response_format", + "stop", + "structured_outputs", + "tool_choice", + "tools", + "verbosity" + ], + "default_parameters": {}, + "supported_voices": null, + "knowledge_cutoff": null, + "expiration_date": null, + "links": { + "details": "/api/v1/models/anthropic/claude-sonnet-5.5-20260928/endpoints" + }, + "benchmarks": { + "design_arena": [], + "artificial_analysis": { + "intelligence_index": 56, + "coding_index": null, + "agentic_index": null + } + }, + "reasoning": { + "mandatory": true, + "supported_efforts": ["max", "xhigh", "high", "medium", "low"], + "default_effort": "high" + } + }, { "id": "arcee-ai/trinity-large-thinking", "canonical_slug": "arcee-ai/trinity-large-thinking", @@ -5809,58 +5996,58 @@ { "arena": "models", "category": "3d", - 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The model combines advanced distillation techniques to achieve high performance across...", - "context_length": 8192, - "architecture": { - "modality": "text->text", - "input_modalities": ["text"], - "output_modalities": ["text"], - "tokenizer": "Llama3", - "instruct_type": "deepseek-r1" - }, - "pricing": { - "prompt": "0.0000008", - "completion": "0.0000008" - }, - "top_provider": { - "context_length": 8192, - "max_completion_tokens": 7372, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "frequency_penalty", - "include_reasoning", - "max_tokens", - "presence_penalty", - "reasoning", - "repetition_penalty", - "seed", - "stop", - "temperature", - "top_k", - "top_p" - ], - "default_parameters": {}, - "supported_voices": null, - "knowledge_cutoff": "2024-07-31", - "expiration_date": "2026-09-28", - "links": { - "details": "/api/v1/models/deepseek/deepseek-r1-distill-llama-70b/endpoints" - }, - "reasoning": { - "mandatory": false - } - }, { "id": "deepseek/deepseek-v3.1-terminus", "canonical_slug": "deepseek/deepseek-v3.1-terminus", @@ -7201,13 +7335,13 @@ "instruct_type": "deepseek-v3.1" }, "pricing": { - 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"elo": 1159, + "elo": 1151, "win_rate": 49.4, - "rank": 63 + "rank": 64 }, { "arena": "models", "category": "asciiart", - "elo": 1095, + "elo": 1097, "win_rate": 40.5, - "rank": 61 + "rank": 62 }, { "arena": "models", @@ -7390,37 +7524,37 @@ { "arena": "models", "category": "dataviz", - "elo": 1169, + "elo": 1168, "win_rate": 48.2, - "rank": 68 + "rank": 69 }, { "arena": "models", "category": "gamedev", - "elo": 1147, + "elo": 1144, "win_rate": 46.5, - "rank": 72 + "rank": 75 }, { "arena": "models", "category": "svg", - "elo": 1043, + "elo": 1030, "win_rate": 40.8, - "rank": 72 + "rank": 77 }, { "arena": "models", "category": "uicomponent", - "elo": 1163, + "elo": 1159, "win_rate": 46.8, - "rank": 68 + "rank": 69 }, { "arena": "models", "category": "website", "elo": 1183, "win_rate": 50.2, - "rank": 67 + "rank": 69 } ], "artificial_analysis": { @@ -7455,7 +7589,7 @@ }, "top_provider": { "context_length": 163840, - "max_completion_tokens": 65536, + "max_completion_tokens": 147456, "is_moderated": false }, "per_request_limits": null, @@ -7487,7 +7621,7 @@ }, "supported_voices": null, "knowledge_cutoff": "2025-07-31", - 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"completion": "0.000000098", - "input_cache_read": "0.0000000098" + "prompt": "0.00000014", + "completion": "0.00000028", + "input_cache_read": "0.000000028" }, "top_provider": { - "context_length": 1024000, - "max_completion_tokens": 384000, + "context_length": 1048576, + "max_completion_tokens": 131072, "is_moderated": false }, "per_request_limits": null, @@ -7610,16 +7744,16 @@ { "arena": "models", "category": "3d", - "elo": 1214, + "elo": 1207, "win_rate": 49.3, - "rank": 45 + "rank": 46 }, { "arena": "models", "category": "asciiart", - "elo": 1123, + "elo": 1125, "win_rate": 42.8, - "rank": 53 + "rank": 55 }, { "arena": "models", @@ -7631,37 +7765,37 @@ { "arena": "models", "category": "dataviz", - "elo": 1138, + "elo": 1136, "win_rate": 40.7, - "rank": 81 + "rank": 82 }, { "arena": "models", "category": "gamedev", - "elo": 1212, + "elo": 1210, "win_rate": 50.2, - "rank": 44 + "rank": 46 }, { "arena": "models", "category": "svg", - "elo": 1166, + "elo": 1154, "win_rate": 48.4, - "rank": 37 + "rank": 40 }, { "arena": "models", "category": "uicomponent", - "elo": 1178, + "elo": 1174, "win_rate": 44.7, - "rank": 63 + "rank": 64 }, { "arena": "models", "category": "website", "elo": 1215, "win_rate": 49.1, - "rank": 49 + "rank": 51 } ], "artificial_analysis": { @@ -7683,7 +7817,7 @@ "name": "DeepSeek: DeepSeek V4 Flash 0731", "created": 1785478908, "description": "DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows....", - "context_length": 1310720, + "context_length": 1048576, "architecture": { "modality": "text->text", "input_modalities": ["text"], @@ -7692,9 +7826,9 @@ "instruct_type": null }, "pricing": { - "prompt": "0.00000003", - "completion": "0.00000032", - "input_cache_read": "0.000000016" + "prompt": "0.00000001", + "completion": "0.00000128", + "input_cache_read": "0.00000001" }, "top_provider": { "context_length": 1048576, @@ -7738,16 +7872,16 @@ { "arena": "models", "category": "3d", - "elo": 1235, + "elo": 1226, "win_rate": 48.6, - "rank": 36 + "rank": 39 }, { "arena": "models", "category": "asciiart", - "elo": 1103, + "elo": 1104, "win_rate": 33.3, - "rank": 58 + "rank": 60 }, { "arena": "models", @@ -7759,37 +7893,37 @@ { "arena": "models", "category": "dataviz", - "elo": 1192, + "elo": 1191, "win_rate": 41.1, "rank": 56 }, { "arena": "models", "category": "gamedev", - "elo": 1224, + "elo": 1221, "win_rate": 44.6, - "rank": 40 + "rank": 43 }, { "arena": "models", "category": "svg", - "elo": 1199, - "win_rate": 45.2, - "rank": 26 + "elo": 1185, + "win_rate": 45.1, + "rank": 29 }, { "arena": "models", "category": "uicomponent", - "elo": 1249, + "elo": 1245, "win_rate": 46.8, - "rank": 38 + "rank": 39 }, { "arena": "models", "category": "website", "elo": 1246, "win_rate": 46.8, - "rank": 39 + "rank": 40 } ], "artificial_analysis": { @@ -7821,13 +7955,13 @@ "instruct_type": null }, "pricing": { - "prompt": "0.00000022", - "completion": "0.00000066", - "input_cache_read": "0.000000007" + "prompt": "0.0000002156", + "completion": "0.0000006468", + "input_cache_read": "0.00000000686" }, "top_provider": { "context_length": 1048576, - "max_completion_tokens": 943718, + "max_completion_tokens": 262144, "is_moderated": false }, "per_request_limits": null, @@ -7883,9 +8017,9 @@ "instruct_type": null }, "pricing": { - "prompt": "0.000000783", - "completion": "0.000001566", - "input_cache_read": "0.00000006525" + "prompt": "0.00000095526", + "completion": "0.00000191052", + "input_cache_read": "0.000000079605" }, "top_provider": { "context_length": 1024000, @@ -7940,7 +8074,7 @@ "category": "godotgamedev", "elo": 1059, "win_rate": 34, - "rank": 32 + "rank": 33 }, { "arena": "agents", @@ -7952,58 +8086,58 @@ { "arena": "models", "category": "3d", - "elo": 1281, + "elo": 1272, "win_rate": 56.8, - "rank": 23 + "rank": 24 }, { "arena": "models", "category": "asciiart", - "elo": 1161, + "elo": 1163, "win_rate": 46.4, "rank": 37 }, { "arena": "models", "category": "codecategories", - "elo": 1250, + "elo": 1249, "win_rate": 51.9, "rank": 36 }, { "arena": "models", "category": "dataviz", - "elo": 1214, + "elo": 1213, "win_rate": 48.7, - "rank": 48 + "rank": 49 }, { "arena": "models", "category": "gamedev", - "elo": 1244, + "elo": 1242, "win_rate": 52.3, - "rank": 34 + "rank": 36 }, { "arena": "models", "category": "svg", - "elo": 1151, + "elo": 1139, "win_rate": 45.4, - "rank": 44 + "rank": 48 }, { "arena": "models", "category": "uicomponent", - "elo": 1236, + "elo": 1232, "win_rate": 50.6, - "rank": 42 + "rank": 43 }, { "arena": "models", "category": "website", - "elo": 1243, + "elo": 1242, "win_rate": 50.5, - "rank": 40 + "rank": 41 } ], "artificial_analysis": { @@ -8034,13 +8168,61 @@ "instruct_type": null }, "pricing": { - 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"elo": 1065, + "elo": 1077, "win_rate": 41, - "rank": 32 + "rank": 31 }, { "arena": "agents", "category": "godotgamedev", "elo": 1236, "win_rate": 60, - "rank": 9 + "rank": 10 }, { "arena": "agents", "category": "htmlslides", - "elo": 1155, - "win_rate": 48.6, - "rank": 16 + "elo": 1157, + "win_rate": 49, + "rank": 15 }, { "arena": "agents", "category": "mobileapps", - "elo": 1120, - "win_rate": 43.3, - "rank": 36 + "elo": 1090, + "win_rate": 43.2, + "rank": 38 }, { "arena": "agents", @@ -10182,23 +10316,23 @@ { "arena": "agents", "category": "webapps", - "elo": 1131, - "win_rate": 44.8, + "elo": 1136, + "win_rate": 44.9, "rank": 30 }, { "arena": "models", "category": "3d", - "elo": 1260, + "elo": 1253, "win_rate": 58.4, - "rank": 31 + "rank": 32 }, { "arena": "models", "category": "asciiart", - "elo": 1282, + "elo": 1284, "win_rate": 63.5, - "rank": 9 + "rank": 10 }, { "arena": "models", @@ -10210,37 +10344,37 @@ { "arena": "models", "category": "dataviz", - "elo": 1249, + "elo": 1248, "win_rate": 61.8, - "rank": 31 + "rank": 32 }, { "arena": "models", "category": "gamedev", - "elo": 1218, + "elo": 1216, "win_rate": 52.1, - "rank": 43 + "rank": 45 }, { "arena": "models", "category": "svg", - "elo": 1296, + "elo": 1284, "win_rate": 67.8, - "rank": 9 + "rank": 12 }, { "arena": "models", "category": "uicomponent", - "elo": 1293, + "elo": 1290, "win_rate": 69.4, - "rank": 19 + "rank": 21 }, { "arena": "models", "category": "website", - "elo": 1261, + "elo": 1260, "win_rate": 64.4, - "rank": 33 + "rank": 34 } ], "artificial_analysis": { @@ -10397,7 +10531,7 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1114, + "elo": 1116, "win_rate": 44.2, "rank": 22 }, @@ -10432,37 +10566,37 @@ { "arena": "agents", "category": "androidnative", - "elo": 1064, - "win_rate": 41.3, - "rank": 33 + "elo": 1067, + "win_rate": 41.4, + "rank": 34 }, { "arena": "agents", "category": "fullstack", - "elo": 1065, + "elo": 1077, "win_rate": 41, - "rank": 32 + "rank": 31 }, { "arena": "agents", "category": "godotgamedev", "elo": 1236, "win_rate": 60, - "rank": 9 + "rank": 10 }, { "arena": "agents", "category": "htmlslides", - "elo": 1155, - "win_rate": 48.6, - "rank": 16 + "elo": 1157, + "win_rate": 49, + "rank": 15 }, { "arena": "agents", "category": "mobileapps", - "elo": 1120, - "win_rate": 43.3, - "rank": 36 + "elo": 1090, + "win_rate": 43.2, + "rank": 38 }, { "arena": "agents", @@ -10481,23 +10615,23 @@ { "arena": "agents", "category": "webapps", - "elo": 1131, - "win_rate": 44.8, + "elo": 1136, + "win_rate": 44.9, "rank": 30 }, { "arena": "models", "category": "3d", - "elo": 1260, + "elo": 1253, "win_rate": 58.4, - "rank": 31 + "rank": 32 }, { "arena": "models", "category": "asciiart", - "elo": 1282, + "elo": 1284, "win_rate": 63.5, - "rank": 9 + "rank": 10 }, { "arena": "models", @@ -10509,37 +10643,37 @@ { "arena": "models", "category": "dataviz", - "elo": 1249, + "elo": 1248, "win_rate": 61.8, - "rank": 31 + "rank": 32 }, { "arena": "models", "category": "gamedev", - "elo": 1218, + "elo": 1216, "win_rate": 52.1, - "rank": 43 + "rank": 45 }, { "arena": "models", "category": "svg", - "elo": 1296, + "elo": 1284, "win_rate": 67.8, - "rank": 9 + "rank": 12 }, { "arena": "models", "category": "uicomponent", - "elo": 1293, + "elo": 1290, "win_rate": 69.4, - "rank": 19 + "rank": 21 }, { "arena": "models", "category": "website", - "elo": 1261, + "elo": 1260, "win_rate": 64.4, - "rank": 33 + "rank": 34 } ], "artificial_analysis": { @@ -10619,7 +10753,7 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1180, + "elo": 1183, "win_rate": 55.4, "rank": 12 }, @@ -10654,37 +10788,37 @@ { "arena": "agents", "category": "androidnative", - "elo": 1199, + "elo": 1201, "win_rate": 57.8, "rank": 14 }, { "arena": "agents", "category": "fullstack", - "elo": 1194, - "win_rate": 56.5, - "rank": 18 + "elo": 1206, + "win_rate": 56.4, + "rank": 19 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1097, - "win_rate": 42.9, + "elo": 1100, + "win_rate": 42.8, "rank": 30 }, { "arena": "agents", "category": "htmlslides", "elo": 1145, - "win_rate": 46.5, - "rank": 19 + "win_rate": 46.6, + "rank": 20 }, { "arena": "agents", "category": "mobileapps", - "elo": 1199, - "win_rate": 51.4, - "rank": 18 + "elo": 1170, + "win_rate": 51.2, + "rank": 22 }, { "arena": "agents", @@ -10703,29 +10837,29 @@ { "arena": "agents", "category": "webapps", - "elo": 1209, - "win_rate": 52.8, + "elo": 1214, + "win_rate": 52.9, "rank": 20 }, { "arena": "models", "category": "3d", - "elo": 1269, - "win_rate": 56.5, - "rank": 27 + "elo": 1263, + "win_rate": 56.4, + "rank": 28 }, { "arena": "models", "category": "asciiart", - "elo": 1267, + "elo": 1268, "win_rate": 59.1, - "rank": 14 + "rank": 15 }, { "arena": "models", "category": "codecategories", - "elo": 1273, - "win_rate": 54.4, + "elo": 1274, + "win_rate": 54.3, "rank": 26 }, { @@ -10738,30 +10872,30 @@ { "arena": "models", "category": "gamedev", - "elo": 1277, - "win_rate": 53.4, - "rank": 21 + "elo": 1275, + "win_rate": 53, + "rank": 25 }, { "arena": "models", "category": "svg", - "elo": 1266, - "win_rate": 59.8, - "rank": 10 + "elo": 1254, + "win_rate": 59.2, + "rank": 13 }, { "arena": "models", "category": "uicomponent", - "elo": 1286, - "win_rate": 55.2, + "elo": 1284, + "win_rate": 55.1, "rank": 23 }, { "arena": "models", "category": "website", - "elo": 1272, + "elo": 1273, "win_rate": 53.9, - "rank": 28 + "rank": 27 } ], "artificial_analysis": { @@ -10988,7 +11122,7 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1180, + "elo": 1183, "win_rate": 55.4, "rank": 12 }, @@ -11023,37 +11157,37 @@ { "arena": "agents", "category": "androidnative", - "elo": 1199, + "elo": 1201, "win_rate": 57.8, "rank": 14 }, { "arena": "agents", "category": "fullstack", - "elo": 1194, - "win_rate": 56.5, - "rank": 18 + "elo": 1206, + "win_rate": 56.4, + "rank": 19 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1097, - "win_rate": 42.9, + "elo": 1100, + "win_rate": 42.8, "rank": 30 }, { "arena": "agents", "category": "htmlslides", "elo": 1145, - "win_rate": 46.5, - "rank": 19 + "win_rate": 46.6, + "rank": 20 }, { "arena": "agents", "category": "mobileapps", - "elo": 1199, - "win_rate": 51.4, - "rank": 18 + "elo": 1170, + "win_rate": 51.2, + "rank": 22 }, { "arena": "agents", @@ -11072,29 +11206,29 @@ { "arena": "agents", "category": "webapps", - "elo": 1209, - "win_rate": 52.8, + "elo": 1214, + "win_rate": 52.9, "rank": 20 }, { "arena": "models", "category": "3d", - "elo": 1269, - "win_rate": 56.5, - "rank": 27 + "elo": 1263, + "win_rate": 56.4, + "rank": 28 }, { "arena": "models", "category": "asciiart", - "elo": 1267, + "elo": 1268, "win_rate": 59.1, - "rank": 14 + "rank": 15 }, { "arena": "models", "category": "codecategories", - "elo": 1273, - "win_rate": 54.4, + "elo": 1274, + "win_rate": 54.3, "rank": 26 }, { @@ -11107,30 +11241,30 @@ { "arena": "models", "category": "gamedev", - "elo": 1277, - "win_rate": 53.4, - "rank": 21 + "elo": 1275, + "win_rate": 53, + "rank": 25 }, { "arena": "models", "category": "svg", - "elo": 1266, - "win_rate": 59.8, - "rank": 10 + "elo": 1254, + "win_rate": 59.2, + "rank": 13 }, { "arena": "models", "category": "uicomponent", - "elo": 1286, - "win_rate": 55.2, + "elo": 1284, + "win_rate": 55.1, "rank": 23 }, { "arena": "models", "category": "website", - "elo": 1272, + "elo": 1273, "win_rate": 53.9, - "rank": 28 + "rank": 27 } ], "artificial_analysis": { @@ -11211,100 +11345,100 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1180, - "win_rate": 47.8, + "elo": 1183, + "win_rate": 48.2, "rank": 13 }, { "arena": "agents", "category": "androidnative", - "elo": 1216, - "win_rate": 53.6, + "elo": 1217, + "win_rate": 53.8, "rank": 12 }, { "arena": "agents", "category": "fullstack", - "elo": 1176, - "win_rate": 44.2, + "elo": 1191, + "win_rate": 44.9, "rank": 21 }, { "arena": "agents", "category": "htmlslides", - "elo": 1152, - "win_rate": 41.9, - "rank": 17 + "elo": 1147, + "win_rate": 45.3, + "rank": 18 }, { "arena": "agents", "category": "mobileapps", - "elo": 1227, - "win_rate": 51, - "rank": 14 + "elo": 1203, + "win_rate": 51.3, + "rank": 16 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1146, - "win_rate": 38.8, - "rank": 24 + "elo": 1153, + "win_rate": 44.2, + "rank": 23 }, { "arena": "agents", "category": "webapps", - "elo": 1200, - "win_rate": 45.5, + "elo": 1205, + "win_rate": 45.8, "rank": 22 }, { "arena": "models", "category": "3d", - "elo": 1298, - "win_rate": 53.1, - "rank": 17 + "elo": 1292, + "win_rate": 53.2, + "rank": 18 }, { "arena": "models", "category": "asciiart", - "elo": 1293, - "win_rate": 57.1, - "rank": 6 + "elo": 1295, + "win_rate": 57.3, + "rank": 5 }, { "arena": "models", "category": "codecategories", - "elo": 1298, + "elo": 1299, "win_rate": 53.6, - "rank": 15 + "rank": 14 }, { "arena": "models", "category": "dataviz", - "elo": 1305, - "win_rate": 53.3, - "rank": 10 + "elo": 1303, + "win_rate": 53.4, + "rank": 11 }, { "arena": "models", "category": "gamedev", - "elo": 1276, - "win_rate": 51.2, - "rank": 23 + "elo": 1275, + "win_rate": 51.1, + "rank": 26 }, { "arena": "models", "category": "uicomponent", - "elo": 1316, - "win_rate": 55.2, - "rank": 12 + "elo": 1310, + "win_rate": 54.6, + "rank": 13 }, { "arena": "models", "category": "website", "elo": 1307, "win_rate": 55.5, - "rank": 10 + "rank": 11 } ], "artificial_analysis": { @@ -11383,100 +11517,100 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1180, - "win_rate": 47.8, + "elo": 1183, + "win_rate": 48.2, "rank": 13 }, { "arena": "agents", "category": "androidnative", - "elo": 1216, - "win_rate": 53.6, + "elo": 1217, + "win_rate": 53.8, "rank": 12 }, { "arena": "agents", "category": "fullstack", - "elo": 1176, - "win_rate": 44.2, + "elo": 1191, + "win_rate": 44.9, "rank": 21 }, { "arena": "agents", "category": "htmlslides", - "elo": 1152, - "win_rate": 41.9, - "rank": 17 + "elo": 1147, + "win_rate": 45.3, + "rank": 18 }, { "arena": "agents", "category": "mobileapps", - "elo": 1227, - "win_rate": 51, - "rank": 14 + "elo": 1203, + "win_rate": 51.3, + "rank": 16 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1146, - "win_rate": 38.8, - "rank": 24 + "elo": 1153, + "win_rate": 44.2, + "rank": 23 }, { "arena": "agents", "category": "webapps", - "elo": 1200, - "win_rate": 45.5, + "elo": 1205, + "win_rate": 45.8, "rank": 22 }, { "arena": "models", "category": "3d", - "elo": 1298, - "win_rate": 53.1, - "rank": 17 + "elo": 1292, + "win_rate": 53.2, + "rank": 18 }, { "arena": "models", "category": "asciiart", - "elo": 1293, - "win_rate": 57.1, - "rank": 6 + "elo": 1295, + "win_rate": 57.3, + "rank": 5 }, { "arena": "models", "category": "codecategories", - "elo": 1298, + "elo": 1299, "win_rate": 53.6, - "rank": 15 + "rank": 14 }, { "arena": "models", "category": "dataviz", - "elo": 1305, - "win_rate": 53.3, - "rank": 10 + "elo": 1303, + "win_rate": 53.4, + "rank": 11 }, { "arena": "models", "category": "gamedev", - "elo": 1276, - "win_rate": 51.2, - "rank": 23 + "elo": 1275, + "win_rate": 51.1, + "rank": 26 }, { "arena": "models", "category": "uicomponent", - "elo": 1316, - "win_rate": 55.2, - "rank": 12 + "elo": 1310, + "win_rate": 54.6, + "rank": 13 }, { "arena": "models", "category": "website", "elo": 1307, "win_rate": 55.5, - "rank": 10 + "rank": 11 } ], "artificial_analysis": { @@ -11551,92 +11685,99 @@ "arena": "agents", "category": "agenticgamedev", "elo": 1235, - "win_rate": 52.1, - "rank": 5 + "win_rate": 52, + "rank": 6 }, { "arena": "agents", "category": "androidnative", - "elo": 1255, - "win_rate": 53.2, + "elo": 1258, + "win_rate": 53.8, "rank": 6 }, { "arena": "agents", "category": "fullstack", - "elo": 1203, - "win_rate": 43.3, + "elo": 1215, + "win_rate": 43.2, "rank": 16 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1262, - "win_rate": 50.6, + "elo": 1272, + "win_rate": 50.1, "rank": 6 }, { "arena": "agents", "category": "mobileapps", - "elo": 1260, - "win_rate": 53.4, - "rank": 5 + "elo": 1232, + "win_rate": 53, + "rank": 8 }, { "arena": "agents", "category": "webapps", - "elo": 1226, - "win_rate": 46.8, + "elo": 1232, + "win_rate": 47.2, "rank": 15 }, { "arena": "models", "category": "3d", - "elo": 1333, - "win_rate": 55.4, - "rank": 11 + "elo": 1329, + "win_rate": 54.8, + "rank": 12 }, { "arena": "models", "category": "asciiart", - "elo": 1274, - "win_rate": 53.7, - "rank": 12 + "elo": 1285, + "win_rate": 55.1, + "rank": 9 }, { "arena": "models", "category": "codecategories", - "elo": 1317, - "win_rate": 56.1, + "elo": 1318, + "win_rate": 55.4, "rank": 9 }, { "arena": "models", "category": "dataviz", - "elo": 1322, - "win_rate": 56.2, - "rank": 8 + "elo": 1320, + "win_rate": 56.3, + "rank": 9 }, { "arena": "models", "category": "gamedev", - "elo": 1339, - "win_rate": 56.1, - "rank": 7 + "elo": 1337, + "win_rate": 55.2, + "rank": 8 + }, + { + "arena": "models", + "category": "svg", + "elo": 1293, + "win_rate": 54.5, + "rank": 9 }, { "arena": "models", "category": "uicomponent", - "elo": 1309, - "win_rate": 51.4, - "rank": 13 + "elo": 1307, + "win_rate": 51.6, + "rank": 14 }, { "arena": "models", "category": "website", - "elo": 1310, - "win_rate": 56.1, - "rank": 7 + "elo": 1312, + "win_rate": 55.6, + "rank": 8 } ], "artificial_analysis": { @@ -11709,92 +11850,99 @@ "arena": "agents", "category": "agenticgamedev", "elo": 1235, - "win_rate": 52.1, - "rank": 5 + "win_rate": 52, + "rank": 6 }, { "arena": "agents", "category": "androidnative", - "elo": 1255, - "win_rate": 53.2, + "elo": 1258, + "win_rate": 53.8, "rank": 6 }, { "arena": "agents", "category": "fullstack", - "elo": 1203, - "win_rate": 43.3, + "elo": 1215, + "win_rate": 43.2, "rank": 16 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1262, - "win_rate": 50.6, + "elo": 1272, + "win_rate": 50.1, "rank": 6 }, { "arena": "agents", "category": "mobileapps", - "elo": 1260, - "win_rate": 53.4, - "rank": 5 + "elo": 1232, + "win_rate": 53, + "rank": 8 }, { "arena": "agents", "category": "webapps", - "elo": 1226, - "win_rate": 46.8, + "elo": 1232, + "win_rate": 47.2, "rank": 15 }, { "arena": "models", "category": "3d", - "elo": 1333, - "win_rate": 55.4, - "rank": 11 + "elo": 1329, + "win_rate": 54.8, + "rank": 12 }, { "arena": "models", "category": "asciiart", - "elo": 1274, - "win_rate": 53.7, - "rank": 12 + "elo": 1285, + "win_rate": 55.1, + "rank": 9 }, { "arena": "models", "category": "codecategories", - "elo": 1317, - "win_rate": 56.1, + "elo": 1318, + "win_rate": 55.4, "rank": 9 }, { "arena": "models", "category": "dataviz", - "elo": 1322, - "win_rate": 56.2, - "rank": 8 + "elo": 1320, + "win_rate": 56.3, + "rank": 9 }, { "arena": "models", "category": "gamedev", - "elo": 1339, - "win_rate": 56.1, - "rank": 7 + "elo": 1337, + "win_rate": 55.2, + "rank": 8 + }, + { + "arena": "models", + "category": "svg", + "elo": 1293, + "win_rate": 54.5, + "rank": 9 }, { "arena": "models", "category": "uicomponent", - "elo": 1309, - "win_rate": 51.4, - "rank": 13 + "elo": 1307, + "win_rate": 51.6, + "rank": 14 }, { "arena": "models", "category": "website", - "elo": 1310, - "win_rate": 56.1, - "rank": 7 + "elo": 1312, + "win_rate": 55.6, + "rank": 8 } ], "artificial_analysis": { @@ -11865,82 +12013,103 @@ }, "benchmarks": { "design_arena": [ + { + "arena": "agents", + "category": "androidnative", + "elo": 1080, + "win_rate": 33.3, + "rank": 31 + }, { "arena": "agents", "category": "fullstack", - "elo": 1239, - "win_rate": 48, + "elo": 1251, + "win_rate": 48.2, "rank": 11 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1275, - "win_rate": 53.2, - "rank": 4 + "elo": 1286, + "win_rate": 53.5, + "rank": 5 }, { "arena": "agents", "category": "mobileapps", - "elo": 1255, - "win_rate": 55.4, - "rank": 6 + "elo": 1234, + "win_rate": 54.5, + "rank": 7 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1176, - "win_rate": 39.5, + "elo": 1175, + "win_rate": 39.3, "rank": 19 }, { "arena": "agents", "category": "webapps", - "elo": 1245, - "win_rate": 46.3, + "elo": 1247, + "win_rate": 46.6, "rank": 11 }, { "arena": "models", "category": "3d", - "elo": 1322, - "win_rate": 51.3, - "rank": 13 + "elo": 1316, + "win_rate": 50.8, + "rank": 14 + }, + { + "arena": "models", + "category": "asciiart", + "elo": 1284, + "win_rate": 53.4, + "rank": 11 }, { "arena": "models", "category": "codecategories", - "elo": 1315, - "win_rate": 52.9, + "elo": 1313, + "win_rate": 51.6, "rank": 10 }, { "arena": "models", "category": "dataviz", - "elo": 1273, - "win_rate": 50.4, - "rank": 22 + "elo": 1275, + "win_rate": 50.9, + "rank": 21 }, { "arena": "models", "category": "gamedev", - "elo": 1328, - "win_rate": 54, - "rank": 9 + "elo": 1322, + "win_rate": 52.4, + "rank": 10 }, { "arena": "models", - "category": "uicomponent", - "elo": 1334, - "win_rate": 54.1, + "category": "svg", + "elo": 1296, + "win_rate": 54.6, "rank": 8 }, + { + "arena": "models", + "category": "uicomponent", + "elo": 1328, + "win_rate": 53.8, + "rank": 9 + }, { "arena": "models", "category": "website", "elo": 1308, - "win_rate": 52.4, - "rank": 9 + "win_rate": 51.4, + "rank": 10 } ], "artificial_analysis": { @@ -12009,82 +12178,103 @@ }, "benchmarks": { "design_arena": [ + { + "arena": "agents", + "category": "androidnative", + "elo": 1080, + "win_rate": 33.3, + "rank": 31 + }, { "arena": "agents", "category": "fullstack", - "elo": 1239, - "win_rate": 48, + "elo": 1251, + "win_rate": 48.2, "rank": 11 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1275, - "win_rate": 53.2, - "rank": 4 + "elo": 1286, + "win_rate": 53.5, + "rank": 5 }, { "arena": "agents", "category": "mobileapps", - "elo": 1255, - "win_rate": 55.4, - "rank": 6 + "elo": 1234, + "win_rate": 54.5, + "rank": 7 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1176, - "win_rate": 39.5, + "elo": 1175, + "win_rate": 39.3, "rank": 19 }, { "arena": "agents", "category": "webapps", - "elo": 1245, - "win_rate": 46.3, + "elo": 1247, + "win_rate": 46.6, "rank": 11 }, { "arena": "models", "category": "3d", - "elo": 1322, - "win_rate": 51.3, - "rank": 13 + "elo": 1316, + "win_rate": 50.8, + "rank": 14 + }, + { + "arena": "models", + "category": "asciiart", + "elo": 1284, + "win_rate": 53.4, + "rank": 11 }, { "arena": "models", "category": "codecategories", - "elo": 1315, - "win_rate": 52.9, + "elo": 1313, + "win_rate": 51.6, "rank": 10 }, { "arena": "models", "category": "dataviz", - "elo": 1273, - "win_rate": 50.4, - "rank": 22 + "elo": 1275, + "win_rate": 50.9, + "rank": 21 }, { "arena": "models", "category": "gamedev", - "elo": 1328, - "win_rate": 54, - "rank": 9 + "elo": 1322, + "win_rate": 52.4, + "rank": 10 }, { "arena": "models", - "category": "uicomponent", - "elo": 1334, - "win_rate": 54.1, + "category": "svg", + "elo": 1296, + "win_rate": 54.6, "rank": 8 }, + { + "arena": "models", + "category": "uicomponent", + "elo": 1328, + "win_rate": 53.8, + "rank": 9 + }, { "arena": "models", "category": "website", "elo": 1308, - "win_rate": 52.4, - "rank": 9 + "win_rate": 51.4, + "rank": 10 } ], "artificial_analysis": { @@ -12920,58 +13110,58 @@ { "arena": "models", "category": "3d", - "elo": 998, - "win_rate": 21.6, - "rank": 105 + "elo": 996, + "win_rate": 21.9, + "rank": 106 }, { "arena": "models", "category": "asciiart", - "elo": 1014, - "win_rate": 26.3, - "rank": 65 + "elo": 1004, + "win_rate": 25.4, + "rank": 68 }, { "arena": "models", "category": "codecategories", - "elo": 1024, + "elo": 1026, "win_rate": 21.3, "rank": 109 }, { "arena": "models", "category": "dataviz", - "elo": 1012, - "win_rate": 21.8, - "rank": 105 + "elo": 1015, + "win_rate": 22.1, + "rank": 106 }, { "arena": "models", "category": "gamedev", - "elo": 1004, - "win_rate": 19.9, - "rank": 110 + "elo": 1000, + "win_rate": 19.5, + "rank": 112 }, { "arena": "models", "category": "svg", - "elo": 1007, - "win_rate": 25.1, - "rank": 80 + "elo": 993, + "win_rate": 24.7, + "rank": 83 }, { "arena": "models", "category": "uicomponent", "elo": 998, - "win_rate": 19, - "rank": 105 + "win_rate": 19.1, + "rank": 106 }, { "arena": "models", "category": "website", - "elo": 1036, + "elo": 1038, "win_rate": 21.8, - "rank": 112 + "rank": 113 } ], "artificial_analysis": { @@ -13103,9 +13293,9 @@ "benchmarks": { "design_arena": [], "artificial_analysis": { - "intelligence_index": null, + "intelligence_index": 20.1, "coding_index": 50.6, - "agentic_index": null + "agentic_index": 19.3 } }, "reasoning": { @@ -13143,6 +13333,7 @@ "frequency_penalty", "include_reasoning", "logit_bias", + "logprobs", "max_tokens", "min_p", "presence_penalty", @@ -13155,67 +13346,6 @@ "tool_choice", "tools", "top_k", - "top_p" - ], - "default_parameters": {}, - "supported_voices": null, - "knowledge_cutoff": null, - "expiration_date": null, - "links": { - "details": "/api/v1/models/inclusionai/ling-3.0-flash-fin-20260827/endpoints" - }, - "benchmarks": { - "design_arena": [], - "artificial_analysis": { - "intelligence_index": 22.6, - "coding_index": 55.6, - "agentic_index": 27.9 - } - }, - "reasoning": { - "mandatory": false, - "default_enabled": true - } - }, - { - "id": "inclusionai/ling-3.0-flash-fin:free", - "canonical_slug": "inclusionai/ling-3.0-flash-fin-20260827", - "hugging_face_id": null, - "name": "inclusionAI: Ling 3.0 Flash Fin (free)", - "created": 1787846290, - "description": "Ling 3.0 Flash Fin is a finance-focused mixture-of-experts model from InclusionAI, built on Ling 3.0 Flash with 5.1B active parameters out of 124B total. It is designed for real-world investment...", - "context_length": 262144, - "architecture": { - "modality": "text->text", - "input_modalities": ["text"], - "output_modalities": ["text"], - "tokenizer": "Other", - "instruct_type": null - }, - "pricing": { - "prompt": "0", - "completion": "0" - }, - "top_provider": { - "context_length": 262144, - "max_completion_tokens": 32768, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "frequency_penalty", - "include_reasoning", - "logprobs", - "max_tokens", - "presence_penalty", - "reasoning", - "repetition_penalty", - "seed", - "stop", - "temperature", - "tool_choice", - "tools", - "top_k", "top_logprobs", "top_p" ], @@ -13309,12 +13439,12 @@ "instruct_type": null }, "pricing": { - "prompt": "0.00000006", - "completion": "0.00000018", - "input_cache_read": "0.000000012" + "prompt": "0.000000021", + "completion": "0.0000000616", + "input_cache_read": "0.0000000042" }, "top_provider": { - "context_length": 131072, + "context_length": 262144, "max_completion_tokens": 32768, "is_moderated": false }, @@ -14011,9 +14141,9 @@ { "arena": "models", "category": "3d", - "elo": 927, + "elo": 918, "win_rate": 40.2, - "rank": 111 + "rank": 112 }, { "arena": "models", @@ -14025,30 +14155,30 @@ { "arena": "models", "category": "dataviz", - "elo": 891, + "elo": 890, "win_rate": 38.4, - "rank": 120 + "rank": 121 }, { "arena": "models", "category": "gamedev", - "elo": 853, + "elo": 851, "win_rate": 33.7, - "rank": 123 + "rank": 125 }, { "arena": "models", "category": "uicomponent", - "elo": 913, + "elo": 909, "win_rate": 40.8, - "rank": 116 + "rank": 118 }, { "arena": "models", "category": "website", "elo": 879, "win_rate": 34.4, - "rank": 126 + "rank": 128 } ], "artificial_analysis": { @@ -14119,30 +14249,30 @@ { "arena": "models", "category": "dataviz", - "elo": 904, + "elo": 903, "win_rate": 39.3, - "rank": 118 + "rank": 119 }, { "arena": "models", "category": "gamedev", - "elo": 788, + "elo": 786, "win_rate": 27.4, - "rank": 125 + "rank": 127 }, { "arena": "models", "category": "uicomponent", - "elo": 781, + "elo": 778, "win_rate": 25.5, - "rank": 121 + "rank": 122 }, { "arena": "models", "category": "website", "elo": 758, "win_rate": 22.7, - "rank": 132 + "rank": 134 } ], "artificial_analysis": { @@ -14214,13 +14344,13 @@ "instruct_type": null }, "pricing": { - "prompt": "0.0000003", - "completion": "0.0000012", + "prompt": "0.00000035", + "completion": "0.0000015", "input_cache_read": "0.00000004" }, "top_provider": { "context_length": 131072, - "max_completion_tokens": 16384, + "max_completion_tokens": 117964, "is_moderated": false }, "per_request_limits": null, @@ -14228,7 +14358,6 @@ "frequency_penalty", "include_reasoning", "logit_bias", - "logprobs", "max_tokens", "min_p", "presence_penalty", @@ -14243,7 +14372,6 @@ "tool_choice", "tools", "top_k", - "top_logprobs", "top_p" ], "default_parameters": { @@ -14269,11 +14397,11 @@ "hugging_face_id": null, "name": "Meta: Muse Spark 1.1", "created": 1784215741, - "description": "Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with a 1M-token context...", + "description": "Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, and PDF documents and returns text, with a 1M-token context window....", "context_length": 1048576, "architecture": { - "modality": "text+image+file+audio+video->text", - "input_modalities": ["text", "image", "video", "file", "audio"], + "modality": "text+image+file+video->text", + "input_modalities": ["text", "image", "video", "file"], "output_modalities": ["text"], "tokenizer": "Other", "instruct_type": null @@ -14316,113 +14444,113 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1183, + "elo": 1185, "win_rate": 48.3, "rank": 11 }, { "arena": "agents", "category": "androidnative", - "elo": 1186, - "win_rate": 47, + "elo": 1187, + "win_rate": 47.2, "rank": 18 }, { "arena": "agents", "category": "fullstack", - "elo": 1194, + "elo": 1207, "win_rate": 45.4, - "rank": 17 + "rank": 18 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1103, - "win_rate": 39.8, + "elo": 1110, + "win_rate": 40.1, "rank": 29 }, { "arena": "agents", "category": "htmlslides", "elo": 1197, - "win_rate": 51.8, + "win_rate": 51.9, "rank": 8 }, { "arena": "agents", "category": "mobileapps", - "elo": 1203, - "win_rate": 46.9, - "rank": 17 + "elo": 1174, + "win_rate": 46.5, + "rank": 20 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1156, - "win_rate": 44.1, - "rank": 21 + "elo": 1164, + "win_rate": 44.3, + "rank": 22 }, { "arena": "agents", "category": "webapps", - "elo": 1211, - "win_rate": 49.4, + "elo": 1217, + "win_rate": 49.5, "rank": 18 }, { "arena": "models", "category": "3d", - "elo": 1285, - "win_rate": 49.8, - "rank": 21 + "elo": 1277, + "win_rate": 49.4, + "rank": 22 }, { "arena": "models", "category": "asciiart", - "elo": 1294, - "win_rate": 57.5, - "rank": 5 + "elo": 1289, + "win_rate": 56.6, + "rank": 7 }, { "arena": "models", "category": "codecategories", - "elo": 1285, - "win_rate": 51.7, - "rank": 20 + "elo": 1286, + "win_rate": 51.5, + "rank": 18 }, { "arena": "models", "category": "dataviz", - "elo": 1285, - "win_rate": 51.4, + "elo": 1284, + "win_rate": 51.6, "rank": 18 }, { "arena": "models", "category": "gamedev", - "elo": 1287, - "win_rate": 48.5, - "rank": 17 + "elo": 1284, + "win_rate": 48.1, + "rank": 19 }, { "arena": "models", "category": "svg", - "elo": 1263, - "win_rate": 51.7, - "rank": 11 + "elo": 1244, + "win_rate": 50.5, + "rank": 14 }, { "arena": "models", "category": "uicomponent", - "elo": 1302, + "elo": 1299, "win_rate": 51.2, - "rank": 15 + "rank": 17 }, { "arena": "models", "category": "website", - "elo": 1277, - "win_rate": 51.8, + "elo": 1278, + "win_rate": 51.7, "rank": 24 } ], @@ -14444,11 +14572,11 @@ "hugging_face_id": null, "name": "Meta: Muse Spark 1.2", "created": 1785959287, - "description": "Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks. It accepts text, images, video, audio, and PDF documents, returns text, and offers a 1M-token context...", + "description": "Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks. It accepts text, images, video, and PDF documents, returns text, and offers a 1M-token context window....", "context_length": 1048576, "architecture": { - "modality": "text+image+file+audio+video->text", - "input_modalities": ["text", "image", "video", "file", "audio"], + "modality": "text+image+file+video->text", + "input_modalities": ["text", "image", "video", "file"], "output_modalities": ["text"], "tokenizer": "Other", "instruct_type": null @@ -14491,106 +14619,106 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1179, - "win_rate": 42.7, - "rank": 15 + "elo": 1175, + "win_rate": 42.2, + "rank": 16 }, { "arena": "agents", "category": "androidnative", - "elo": 1235, - "win_rate": 53.3, + "elo": 1238, + "win_rate": 53.5, "rank": 10 }, { "arena": "agents", "category": "fullstack", - "elo": 1206, - "win_rate": 48.1, + "elo": 1219, + "win_rate": 48.6, "rank": 15 }, { "arena": "agents", "category": "htmlslides", - "elo": 1137, - "win_rate": 40, - "rank": 20 + "elo": 1151, + "win_rate": 42.5, + "rank": 17 }, { "arena": "agents", "category": "mobileapps", - "elo": 1195, - "win_rate": 46.8, - "rank": 19 + "elo": 1171, + "win_rate": 47.3, + "rank": 21 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1198, - "win_rate": 48.6, - "rank": 15 + "elo": 1200, + "win_rate": 49.4, + "rank": 16 }, { "arena": "agents", "category": "webapps", - "elo": 1229, - "win_rate": 51.1, + "elo": 1238, + "win_rate": 52, "rank": 13 }, { "arena": "models", "category": "3d", - "elo": 1331, - "win_rate": 53.9, - "rank": 12 + "elo": 1327, + "win_rate": 53.4, + "rank": 13 }, { "arena": "models", "category": "asciiart", - "elo": 1308, - "win_rate": 58.1, + "elo": 1310, + "win_rate": 58.8, "rank": 4 }, { "arena": "models", "category": "codecategories", - "elo": 1319, - "win_rate": 53.8, - "rank": 8 + "elo": 1321, + "win_rate": 53.1, + "rank": 7 }, { "arena": "models", "category": "dataviz", - "elo": 1355, + "elo": 1353, "win_rate": 60.7, - "rank": 3 + "rank": 5 }, { "arena": "models", "category": "gamedev", "elo": 1312, - "win_rate": 51.6, - "rank": 10 + "win_rate": 51, + "rank": 12 }, { "arena": "models", "category": "svg", - "elo": 1300, - "win_rate": 56.2, - "rank": 7 + "elo": 1287, + "win_rate": 55.8, + "rank": 11 }, { "arena": "models", "category": "uicomponent", - "elo": 1320, - "win_rate": 53.1, - "rank": 11 + "elo": 1315, + "win_rate": 52.7, + "rank": 12 }, { "arena": "models", "category": "website", - "elo": 1316, - "win_rate": 53.6, + "elo": 1318, + "win_rate": 53.1, "rank": 6 } ], @@ -14615,8 +14743,8 @@ "description": "Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an even lower cost. It’s meaningfully cheaper than Muse Spark...", "context_length": 1048576, "architecture": { - "modality": "text+image+file+audio+video->text", - "input_modalities": ["text", "image", "video", "file", "audio"], + "modality": "text+image+file+video->text", + "input_modalities": ["text", "image", "video", "file"], "output_modalities": ["text"], "tokenizer": "Other", "instruct_type": null @@ -14669,8 +14797,8 @@ "description": "Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended tasks, work through...", "context_length": 1048576, "architecture": { - "modality": "text+image+file+audio+video->text", - "input_modalities": ["text", "image", "video", "file", "audio"], + "modality": "text+image+file+video->text", + "input_modalities": ["text", "image", "video", "file"], "output_modalities": ["text"], "tokenizer": "Other", "instruct_type": null @@ -14713,85 +14841,85 @@ { "arena": "agents", "category": "fullstack", - "elo": 1307, - "win_rate": 60.4, - "rank": 3 + "elo": 1321, + "win_rate": 61.7, + "rank": 2 }, { "arena": "agents", "category": "mobileapps", - "elo": 1228, - "win_rate": 46.9, + "elo": 1212, + "win_rate": 43.9, "rank": 13 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1245, - "win_rate": 51.5, + "elo": 1247, + "win_rate": 51.9, "rank": 10 }, { "arena": "agents", "category": "webapps", - "elo": 1302, - "win_rate": 54.7, - "rank": 2 + "elo": 1303, + "win_rate": 57.4, + "rank": 3 }, { "arena": "models", "category": "3d", - "elo": 1422, + "elo": 1416, "win_rate": 64.5, - "rank": 1 + "rank": 2 }, { "arena": "models", "category": "codecategories", - "elo": 1363, - "win_rate": 58.9, + "elo": 1362, + "win_rate": 57.9, "rank": 2 }, { "arena": "models", "category": "dataviz", - "elo": 1344, - "win_rate": 57.9, - "rank": 6 + "elo": 1338, + "win_rate": 57.4, + "rank": 7 }, { "arena": "models", "category": "gamedev", - "elo": 1358, - "win_rate": 57.7, + "elo": 1355, + "win_rate": 56.8, "rank": 4 }, { "arena": "models", "category": "svg", - "elo": 1333, - "win_rate": 60.3, - "rank": 3 + "elo": 1323, + "win_rate": 51.6, + "rank": 2 }, { "arena": "models", "category": "uicomponent", - "elo": 1367, - "win_rate": 57.6, + "elo": 1365, + "win_rate": 58.1, "rank": 2 }, { "arena": "models", "category": "website", - "elo": 1362, - "win_rate": 59.8, + "elo": 1364, + "win_rate": 59.2, "rank": 1 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1241, - "win_rate": 45.9, + "elo": 1247, + "win_rate": 46.4, "rank": 7 } ] @@ -14811,8 +14939,8 @@ "description": "Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and coding workflows. It is designed to track information...", "context_length": 1048576, "architecture": { - "modality": "text+image+file+audio+video->text", - "input_modalities": ["text", "image", "video", "file", "audio"], + "modality": "text+image+file+video->text", + "input_modalities": ["text", "image", "video", "file"], "output_modalities": ["text"], "tokenizer": "Other", "instruct_type": null @@ -15102,9 +15230,9 @@ { "arena": "models", "category": "3d", - "elo": 1123, + "elo": 1116, "win_rate": 48.3, - "rank": 79 + "rank": 80 }, { "arena": "models", @@ -15116,37 +15244,37 @@ { "arena": "models", "category": "dataviz", - "elo": 1151, + "elo": 1150, "win_rate": 50, "rank": 75 }, { "arena": "models", "category": "gamedev", - "elo": 1133, + "elo": 1131, "win_rate": 48.1, - "rank": 77 + "rank": 80 }, { "arena": "models", "category": "svg", - "elo": 1111, + "elo": 1098, "win_rate": 55.3, - "rank": 56 + "rank": 59 }, { "arena": "models", "category": "uicomponent", - "elo": 1150, + "elo": 1147, "win_rate": 49.2, - "rank": 74 + "rank": 75 }, { "arena": "models", "category": "website", - "elo": 1151, + "elo": 1150, "win_rate": 48, - "rank": 81 + "rank": 83 } ] }, @@ -15251,51 +15379,51 @@ { "arena": "models", "category": "3d", - "elo": 1192, + "elo": 1183, "win_rate": 57.5, - "rank": 52 + "rank": 53 }, { "arena": "models", "category": "codecategories", - "elo": 1200, + "elo": 1199, "win_rate": 55.3, "rank": 51 }, { "arena": "models", "category": "dataviz", - "elo": 1217, + "elo": 1216, "win_rate": 57, - "rank": 46 + "rank": 47 }, { "arena": "models", "category": "gamedev", - "elo": 1150, + "elo": 1147, "win_rate": 50.4, - "rank": 71 + "rank": 73 }, { "arena": "models", "category": "svg", - "elo": 1142, + "elo": 1128, "win_rate": 55.4, - "rank": 49 + "rank": 52 }, { "arena": "models", "category": "uicomponent", - "elo": 1237, + "elo": 1233, "win_rate": 60.9, - "rank": 41 + "rank": 42 }, { "arena": "models", "category": "website", "elo": 1209, "win_rate": 55.4, - "rank": 51 + "rank": 53 } ] }, @@ -15369,9 +15497,9 @@ { "arena": "models", "category": "3d", - "elo": 1197, + "elo": 1188, "win_rate": 57.6, - "rank": 49 + "rank": 51 }, { "arena": "models", @@ -15383,37 +15511,37 @@ { "arena": "models", "category": "dataviz", - "elo": 1182, + "elo": 1181, "win_rate": 51.2, - "rank": 59 + "rank": 60 }, { "arena": "models", "category": "gamedev", - "elo": 1192, + "elo": 1189, "win_rate": 55.5, - "rank": 52 + "rank": 54 }, { "arena": "models", "category": "svg", - "elo": 1160, + "elo": 1147, "win_rate": 54.5, - "rank": 40 + "rank": 44 }, { "arena": "models", "category": "uicomponent", - "elo": 1187, + "elo": 1183, "win_rate": 53.4, - "rank": 59 + "rank": 60 }, { "arena": "models", "category": "website", "elo": 1230, "win_rate": 57.5, - "rank": 45 + "rank": 46 } ] }, @@ -15437,13 +15565,13 @@ "instruct_type": null }, "pricing": { - "prompt": "0.0000003", - "completion": "0.0000012", - "input_cache_read": "0.00000006" + "prompt": "0.00000021", + "completion": "0.00000084", + "input_cache_read": "0.000000042" }, "top_provider": { - "context_length": 204800, - "max_completion_tokens": 131072, + "context_length": 196608, + "max_completion_tokens": 176947, "is_moderated": false }, "per_request_limits": null, @@ -15487,58 +15615,58 @@ { "arena": "models", "category": "3d", - "elo": 1219, - "win_rate": 49.9, + "elo": 1212, + "win_rate": 49.8, "rank": 43 }, { "arena": "models", "category": "asciiart", - "elo": 1157, - "win_rate": 47.8, - "rank": 40 + "elo": 1153, + "win_rate": 47.1, + "rank": 47 }, { "arena": "models", "category": "codecategories", "elo": 1242, - "win_rate": 51.2, + "win_rate": 51, "rank": 39 }, { "arena": "models", "category": "dataviz", - "elo": 1245, - "win_rate": 52.6, - "rank": 33 + "elo": 1243, + "win_rate": 52.4, + "rank": 36 }, { "arena": "models", "category": "gamedev", - "elo": 1223, + "elo": 1224, "win_rate": 50.1, "rank": 41 }, { "arena": "models", "category": "svg", - "elo": 1148, - "win_rate": 48.1, - "rank": 47 + "elo": 1135, + "win_rate": 47.6, + "rank": 51 }, { "arena": "models", "category": "uicomponent", - "elo": 1222, - "win_rate": 48.7, - "rank": 45 + "elo": 1220, + "win_rate": 48.6, + "rank": 46 }, { "arena": "models", "category": "website", - "elo": 1251, - "win_rate": 51.7, - "rank": 37 + "elo": 1250, + "win_rate": 51.5, + "rank": 38 } ], "artificial_analysis": { @@ -15617,107 +15745,107 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1158, - "win_rate": 44.6, + "elo": 1160, + "win_rate": 44.8, "rank": 19 }, { "arena": "agents", "category": "androidnative", - "elo": 1169, - "win_rate": 43.9, + "elo": 1173, + "win_rate": 44.5, "rank": 23 }, { "arena": "agents", "category": "fullstack", - "elo": 1193, - "win_rate": 47.2, - "rank": 19 + "elo": 1209, + "win_rate": 48, + "rank": 17 }, { "arena": "agents", "category": "htmlslides", - "elo": 1183, - "win_rate": 46.6, - "rank": 11 + "elo": 1194, + "win_rate": 51.7, + "rank": 9 }, { "arena": "agents", "category": "mobileapps", - "elo": 1193, - "win_rate": 46.3, - "rank": 20 + "elo": 1170, + "win_rate": 46.4, + "rank": 23 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1207, - "win_rate": 47.1, - "rank": 14 + "elo": 1203, + "win_rate": 48.5, + "rank": 15 }, { "arena": "agents", "category": "webapps", - "elo": 1207, - "win_rate": 47.7, + "elo": 1214, + "win_rate": 48.3, "rank": 21 }, { "arena": "models", "category": "3d", - "elo": 1233, - "win_rate": 50.4, + "elo": 1227, + "win_rate": 50.2, "rank": 38 }, { "arena": "models", "category": "asciiart", - "elo": 1174, - "win_rate": 47.1, - "rank": 32 + "elo": 1171, + "win_rate": 46.5, + "rank": 34 }, { "arena": "models", "category": "codecategories", "elo": 1257, - "win_rate": 51.3, + "win_rate": 51, "rank": 32 }, { "arena": "models", "category": "dataviz", - "elo": 1246, - "win_rate": 51.5, - "rank": 32 + "elo": 1245, + "win_rate": 51.4, + "rank": 33 }, { "arena": "models", "category": "gamedev", - "elo": 1229, - "win_rate": 46.6, - "rank": 38 + "elo": 1226, + "win_rate": 46.3, + "rank": 40 }, { "arena": "models", "category": "svg", - "elo": 1178, - "win_rate": 47.4, - "rank": 34 + "elo": 1162, + "win_rate": 45.7, + "rank": 38 }, { "arena": "models", "category": "uicomponent", "elo": 1258, - "win_rate": 51, - "rank": 33 + "win_rate": 51.2, + "rank": 34 }, { "arena": "models", "category": "website", "elo": 1266, - "win_rate": 52.2, - "rank": 30 + "win_rate": 51.9, + "rank": 31 } ], "artificial_analysis": { @@ -15791,37 +15919,37 @@ { "arena": "models", "category": "dataviz", - "elo": 1028, + "elo": 1026, "win_rate": 41.1, - "rank": 103 + "rank": 104 }, { "arena": "models", "category": "gamedev", - "elo": 983, + "elo": 981, "win_rate": 36.3, - "rank": 113 + "rank": 115 }, { "arena": "models", "category": "uicomponent", - "elo": 1030, + "elo": 1027, "win_rate": 46.7, - "rank": 102 + "rank": 103 }, { "arena": "models", "category": "website", - "elo": 1021, + "elo": 1020, "win_rate": 37.8, - "rank": 114 + "rank": 117 }, { "arena": "models", "category": "3d", - "elo": 1047, + "elo": 1038, "win_rate": 45.4, - "rank": 98 + "rank": 99 } ] } @@ -15887,37 +16015,37 @@ { "arena": "models", "category": "dataviz", - "elo": 1028, + "elo": 1026, "win_rate": 41.1, - "rank": 103 + "rank": 104 }, { "arena": "models", "category": "gamedev", - "elo": 983, + "elo": 981, "win_rate": 36.3, - "rank": 113 + "rank": 115 }, { "arena": "models", "category": "uicomponent", - "elo": 1030, + "elo": 1027, "win_rate": 46.7, - "rank": 102 + "rank": 103 }, { "arena": "models", "category": "website", - "elo": 1021, + "elo": 1020, "win_rate": 37.8, - "rank": 114 + "rank": 117 }, { "arena": "models", "category": "3d", - "elo": 1047, + "elo": 1038, "win_rate": 45.4, - "rank": 98 + "rank": 99 } ] } @@ -16036,9 +16164,9 @@ { "arena": "models", "category": "3d", - "elo": 1017, + "elo": 1008, "win_rate": 39.6, - "rank": 103 + "rank": 104 }, { "arena": "models", @@ -16050,16 +16178,16 @@ { "arena": "models", "category": "gamedev", - "elo": 1054, + "elo": 1051, "win_rate": 43.6, - "rank": 100 + "rank": 102 }, { "arena": "models", "category": "website", "elo": 1089, "win_rate": 44.8, - "rank": 100 + "rank": 102 } ], "artificial_analysis": { @@ -16124,9 +16252,9 @@ { "arena": "models", "category": "3d", - "elo": 989, + "elo": 981, "win_rate": 35.9, - "rank": 108 + "rank": 109 }, { "arena": "models", @@ -16138,16 +16266,16 @@ { "arena": "models", "category": "gamedev", - "elo": 964, + "elo": 961, "win_rate": 33, - "rank": 116 + "rank": 118 }, { "arena": "models", "category": "website", - "elo": 1036, + "elo": 1035, "win_rate": 38.2, - "rank": 113 + "rank": 115 } ], "artificial_analysis": { @@ -16212,9 +16340,9 @@ { "arena": "models", "category": "3d", - "elo": 1058, + "elo": 1050, "win_rate": 46.2, - "rank": 97 + "rank": 98 }, { "arena": "models", @@ -16226,16 +16354,16 @@ { "arena": "models", "category": "gamedev", - "elo": 1006, + "elo": 1003, "win_rate": 38.7, - "rank": 109 + "rank": 111 }, { "arena": "models", "category": "website", "elo": 1073, "win_rate": 42.9, - "rank": 102 + "rank": 104 } ], "artificial_analysis": { @@ -16300,9 +16428,9 @@ { "arena": "models", "category": "3d", - "elo": 1058, + "elo": 1050, "win_rate": 46.2, - "rank": 97 + "rank": 98 }, { "arena": "models", @@ -16314,16 +16442,16 @@ { "arena": "models", "category": "gamedev", - "elo": 1006, + "elo": 1003, "win_rate": 38.7, - "rank": 109 + "rank": 111 }, { "arena": "models", "category": "website", "elo": 1073, "win_rate": 42.9, - "rank": 102 + "rank": 104 } ], "artificial_analysis": { @@ -16486,58 +16614,58 @@ { "arena": "models", "category": "3d", - "elo": 1125, + "elo": 1118, "win_rate": 46.9, - "rank": 78 + "rank": 79 }, { "arena": "models", "category": "asciiart", - "elo": 1082, + "elo": 1083, "win_rate": 40.3, - "rank": 62 + "rank": 63 }, { "arena": "models", "category": "codecategories", "elo": 1151, "win_rate": 47.6, - "rank": 78 + "rank": 77 }, { "arena": "models", "category": "dataviz", - "elo": 1147, + "elo": 1146, "win_rate": 45.7, - "rank": 76 + "rank": 77 }, { "arena": "models", "category": "gamedev", - "elo": 1096, + "elo": 1093, "win_rate": 41.5, - "rank": 88 + "rank": 90 }, { "arena": "models", "category": "svg", - "elo": 1003, + "elo": 991, "win_rate": 38, - "rank": 81 + "rank": 84 }, { "arena": "models", "category": "uicomponent", - "elo": 1116, + "elo": 1112, "win_rate": 43, - "rank": 82 + "rank": 83 }, { "arena": "models", "category": "website", "elo": 1170, "win_rate": 49.5, - "rank": 74 + "rank": 75 } ], "artificial_analysis": { @@ -16602,58 +16730,58 @@ { "arena": "models", "category": "3d", - "elo": 1125, + "elo": 1118, "win_rate": 46.9, - "rank": 78 + "rank": 79 }, { "arena": "models", "category": "asciiart", - "elo": 1082, + "elo": 1083, "win_rate": 40.3, - "rank": 62 + "rank": 63 }, { "arena": "models", "category": "codecategories", "elo": 1151, "win_rate": 47.6, - "rank": 78 + "rank": 77 }, { "arena": "models", "category": "dataviz", - "elo": 1147, + "elo": 1146, "win_rate": 45.7, - "rank": 76 + "rank": 77 }, { "arena": "models", "category": "gamedev", - "elo": 1096, + "elo": 1093, "win_rate": 41.5, - "rank": 88 + "rank": 90 }, { "arena": "models", "category": "svg", - "elo": 1003, + "elo": 991, "win_rate": 38, - "rank": 81 + "rank": 84 }, { "arena": "models", "category": "uicomponent", - "elo": 1116, + "elo": 1112, "win_rate": 43, - "rank": 82 + "rank": 83 }, { "arena": "models", "category": "website", "elo": 1170, "win_rate": 49.5, - "rank": 74 + "rank": 75 } ], "artificial_analysis": { @@ -16716,9 +16844,9 @@ { "arena": "models", "category": "3d", - "elo": 1109, + "elo": 1102, "win_rate": 54.7, - "rank": 82 + "rank": 83 }, { "arena": "models", @@ -16730,30 +16858,30 @@ { "arena": "models", "category": "dataviz", - "elo": 1044, + "elo": 1043, "win_rate": 46, - "rank": 101 + "rank": 102 }, { "arena": "models", "category": "gamedev", - "elo": 1033, + "elo": 1031, "win_rate": 45.2, - "rank": 104 + "rank": 107 }, { "arena": "models", "category": "uicomponent", - "elo": 1038, + "elo": 1034, "win_rate": 49.6, - "rank": 100 + "rank": 101 }, { "arena": "models", "category": "website", "elo": 1087, "win_rate": 47.6, - "rank": 101 + "rank": 103 } ] } @@ -16949,58 +17077,58 @@ { "arena": "models", "category": "3d", - "elo": 1107, + "elo": 1099, "win_rate": 44.6, - "rank": 83 + "rank": 86 }, { "arena": "models", "category": "asciiart", - "elo": 1010, + "elo": 1012, "win_rate": 30.8, "rank": 66 }, { "arena": "models", "category": "codecategories", - "elo": 1130, + "elo": 1129, "win_rate": 45.1, "rank": 84 }, { "arena": "models", "category": "dataviz", - "elo": 1155, + "elo": 1153, "win_rate": 47.2, - "rank": 73 + "rank": 74 }, { "arena": "models", "category": "gamedev", - "elo": 1089, + "elo": 1087, "win_rate": 40.7, - "rank": 92 + "rank": 94 }, { "arena": "models", "category": "svg", - "elo": 1003, + "elo": 991, "win_rate": 38.2, - "rank": 82 + "rank": 85 }, { "arena": "models", "category": "uicomponent", - "elo": 1113, + "elo": 1110, "win_rate": 43.6, - "rank": 84 + "rank": 85 }, { "arena": "models", "category": "website", - "elo": 1141, + "elo": 1140, "win_rate": 46, - "rank": 85 + "rank": 87 } ], "artificial_analysis": { @@ -17063,58 +17191,58 @@ { "arena": "models", "category": "3d", - "elo": 1107, + "elo": 1099, "win_rate": 44.6, - "rank": 83 + "rank": 86 }, { "arena": "models", "category": "asciiart", - "elo": 1010, + "elo": 1012, "win_rate": 30.8, "rank": 66 }, { "arena": "models", "category": "codecategories", - "elo": 1130, + "elo": 1129, "win_rate": 45.1, "rank": 84 }, { "arena": "models", "category": "dataviz", - "elo": 1155, + "elo": 1153, "win_rate": 47.2, - "rank": 73 + "rank": 74 }, { "arena": "models", "category": "gamedev", - "elo": 1089, + "elo": 1087, "win_rate": 40.7, - "rank": 92 + "rank": 94 }, { "arena": "models", "category": "svg", - "elo": 1003, + "elo": 991, "win_rate": 38.2, - "rank": 82 + "rank": 85 }, { "arena": "models", "category": "uicomponent", - "elo": 1113, + "elo": 1110, "win_rate": 43.6, - "rank": 84 + "rank": 85 }, { "arena": "models", "category": "website", - "elo": 1141, + "elo": 1140, "win_rate": 46, - "rank": 85 + "rank": 87 } ], "artificial_analysis": { @@ -17538,30 +17666,30 @@ { "arena": "models", "category": "dataviz", - "elo": 938, + "elo": 937, "win_rate": 43.3, - "rank": 114 + "rank": 116 }, { "arena": "models", "category": "gamedev", - "elo": 904, + "elo": 901, "win_rate": 39.4, - "rank": 122 + "rank": 124 }, { "arena": "models", "category": "uicomponent", - "elo": 920, + "elo": 917, "win_rate": 40.5, - "rank": 115 + "rank": 116 }, { "arena": "models", "category": "website", - "elo": 904, + "elo": 903, "win_rate": 38.3, - "rank": 124 + "rank": 126 } ] } @@ -17717,37 +17845,37 @@ { "arena": "models", "category": "codecategories", - "elo": 1043, + "elo": 1042, "win_rate": 51.7, "rank": 105 }, { "arena": "models", "category": "dataviz", - "elo": 1027, + "elo": 1026, "win_rate": 49.4, - "rank": 104 + "rank": 105 }, { "arena": "models", "category": "gamedev", - "elo": 989, + "elo": 987, "win_rate": 46.4, - "rank": 111 + "rank": 113 }, { "arena": "models", "category": "uicomponent", - "elo": 1044, + "elo": 1040, "win_rate": 55.1, - "rank": 97 + "rank": 99 }, { "arena": "models", "category": "website", "elo": 1058, "win_rate": 53.1, - "rank": 106 + "rank": 108 } ] } @@ -17813,7 +17941,7 @@ "category": "website", "elo": 1115, "win_rate": 48.3, - "rank": 94 + "rank": 96 } ] } @@ -17884,7 +18012,7 @@ "category": "website", "elo": 1121, "win_rate": 48.8, - "rank": 92 + "rank": 94 } ], "artificial_analysis": { @@ -17964,14 +18092,14 @@ { "arena": "agents", "category": "androidnative", - "elo": 1133, + "elo": 1137, "win_rate": 57.8, "rank": 26 }, { "arena": "agents", "category": "fullstack", - "elo": 1110, + "elo": 1123, "win_rate": 54.5, "rank": 28 }, @@ -17985,30 +18113,30 @@ { "arena": "agents", "category": "mobileapps", - "elo": 1175, - "win_rate": 54.6, - "rank": 26 + "elo": 1146, + "win_rate": 54.7, + "rank": 28 }, { "arena": "agents", "category": "webapps", - "elo": 1142, + "elo": 1147, "win_rate": 51.6, "rank": 28 }, { "arena": "models", "category": "3d", - "elo": 1231, + "elo": 1223, "win_rate": 53.1, - "rank": 39 + "rank": 40 }, { "arena": "models", "category": "asciiart", - "elo": 1178, + "elo": 1180, "win_rate": 46.3, - "rank": 29 + "rank": 31 }, { "arena": "models", @@ -18020,37 +18148,37 @@ { "arena": "models", "category": "dataviz", - "elo": 1230, + "elo": 1228, "win_rate": 51.3, - "rank": 42 + "rank": 44 }, { "arena": "models", "category": "gamedev", - "elo": 1222, + "elo": 1219, "win_rate": 53.4, - "rank": 42 + "rank": 44 }, { "arena": "models", "category": "svg", - "elo": 1160, + "elo": 1148, "win_rate": 48.4, - "rank": 42 + "rank": 43 }, { "arena": "models", "category": "uicomponent", - "elo": 1251, + "elo": 1246, "win_rate": 53.6, - "rank": 37 + "rank": 38 }, { "arena": "models", "category": "website", "elo": 1256, "win_rate": 55.2, - "rank": 34 + "rank": 35 } ], "artificial_analysis": { @@ -18080,9 +18208,9 @@ "instruct_type": null }, "pricing": { - "prompt": "0.00000095", - "completion": "0.000004", - "input_cache_read": "0.00000016" + "prompt": "0.00000065", + "completion": "0.00000341", + "input_cache_read": "0.00000015" }, "top_provider": { "context_length": 262144, @@ -18131,8 +18259,8 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1141, - "win_rate": 47.5, + "elo": 1144, + "win_rate": 47.7, "rank": 20 }, { @@ -18166,37 +18294,37 @@ { "arena": "agents", "category": "androidnative", - "elo": 1174, - "win_rate": 49.1, + "elo": 1176, + "win_rate": 49.3, "rank": 21 }, { "arena": "agents", "category": "fullstack", - "elo": 1153, - "win_rate": 49.5, + "elo": 1165, + "win_rate": 49.9, "rank": 25 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1119, + "elo": 1123, "win_rate": 46.8, "rank": 28 }, { "arena": "agents", "category": "htmlslides", - "elo": 1187, - "win_rate": 52.3, - "rank": 10 + "elo": 1188, + "win_rate": 53, + "rank": 11 }, { "arena": "agents", "category": "mobileapps", - "elo": 1185, - "win_rate": 48.2, - "rank": 24 + "elo": 1155, + "win_rate": 48, + "rank": 26 }, { "arena": "agents", @@ -18217,21 +18345,21 @@ "category": "webapps", "elo": 1268, "win_rate": 59.3, - "rank": 7 + "rank": 8 }, { "arena": "models", "category": "3d", - "elo": 1295, + "elo": 1286, "win_rate": 57.6, - "rank": 18 + "rank": 19 }, { "arena": "models", "category": "asciiart", - "elo": 1177, + "elo": 1179, "win_rate": 47.5, - "rank": 31 + "rank": 32 }, { "arena": "models", @@ -18243,30 +18371,30 @@ { "arena": "models", "category": "dataviz", - "elo": 1261, + "elo": 1259, "win_rate": 52, - "rank": 27 + "rank": 28 }, { "arena": "models", "category": "gamedev", - "elo": 1266, + "elo": 1264, "win_rate": 54.9, - "rank": 28 + "rank": 30 }, { "arena": "models", "category": "svg", - "elo": 1193, + "elo": 1180, "win_rate": 51.2, - "rank": 29 + "rank": 31 }, { "arena": "models", "category": "uicomponent", - "elo": 1280, + "elo": 1276, "win_rate": 55.6, - "rank": 25 + "rank": 26 }, { "arena": "models", @@ -18303,8 +18431,8 @@ "instruct_type": null }, "pricing": { - "prompt": "0.0000006562", - "completion": "0.0000033", + "prompt": "0.0000006712", + "completion": "0.00000335", "input_cache_read": "0.00000018" }, "top_provider": { @@ -18354,114 +18482,114 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1130, + "elo": 1132, "win_rate": 43, "rank": 21 }, { "arena": "agents", "category": "androidnative", - "elo": 1151, - "win_rate": 46, + "elo": 1153, + "win_rate": 46.2, "rank": 25 }, { "arena": "agents", "category": "fullstack", - "elo": 1173, - "win_rate": 51.1, + "elo": 1185, + "win_rate": 51.2, "rank": 22 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1146, - "win_rate": 49.2, + "elo": 1150, + "win_rate": 49.3, "rank": 20 }, { "arena": "agents", "category": "htmlslides", "elo": 1204, - "win_rate": 53.6, + "win_rate": 53.8, "rank": 7 }, { "arena": "agents", "category": "mobileapps", - "elo": 1172, - "win_rate": 46.8, - "rank": 27 + "elo": 1143, + "win_rate": 46.7, + "rank": 29 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1154, - "win_rate": 44.7, - "rank": 22 + "elo": 1166, + "win_rate": 46.1, + "rank": 20 }, { "arena": "agents", "category": "webapps", - "elo": 1182, - "win_rate": 46.9, + "elo": 1188, + "win_rate": 47.2, "rank": 24 }, { "arena": "models", "category": "3d", - "elo": 1268, - "win_rate": 51, - "rank": 28 + "elo": 1259, + "win_rate": 50.5, + "rank": 29 }, { "arena": "models", "category": "asciiart", - "elo": 1209, - "win_rate": 48.3, + "elo": 1212, + "win_rate": 48.4, "rank": 24 }, { "arena": "models", "category": "codecategories", "elo": 1263, - "win_rate": 50.7, + "win_rate": 50.4, "rank": 30 }, { "arena": "models", "category": "dataviz", - "elo": 1228, - "win_rate": 48, - "rank": 44 + "elo": 1233, + "win_rate": 48.7, + "rank": 41 }, { "arena": "models", "category": "gamedev", - "elo": 1235, - "win_rate": 48, - "rank": 36 + "elo": 1233, + "win_rate": 47.7, + "rank": 38 }, { "arena": "models", "category": "svg", - "elo": 1192, - "win_rate": 46.5, - "rank": 30 + "elo": 1175, + "win_rate": 45.3, + "rank": 34 }, { "arena": "models", "category": "uicomponent", - "elo": 1276, - "win_rate": 51.9, + "elo": 1274, + "win_rate": 51.7, "rank": 28 }, { "arena": "models", "category": "website", "elo": 1273, - "win_rate": 51.9, - "rank": 27 + "win_rate": 51.8, + "rank": 28 } ], "artificial_analysis": { @@ -18556,29 +18684,29 @@ { "arena": "agents", "category": "fullstack", - "elo": 1312, + "elo": 1315, "win_rate": 61.9, - "rank": 2 + "rank": 4 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1221, - "win_rate": 47.9, + "elo": 1223, + "win_rate": 48.2, "rank": 14 }, { "arena": "agents", "category": "htmlslides", - "elo": 1259, + "elo": 1256, "win_rate": 59.6, - "rank": 2 + "rank": 3 }, { "arena": "agents", "category": "mobileapps", - "elo": 1279, - "win_rate": 57.7, + "elo": 1284, + "win_rate": 57.1, "rank": 3 }, { @@ -18591,58 +18719,58 @@ { "arena": "agents", "category": "webapps", - "elo": 1296, - "win_rate": 58.9, + "elo": 1291, + "win_rate": 59.1, "rank": 5 }, { "arena": "models", "category": "3d", - "elo": 1421, - "win_rate": 68.6, + "elo": 1410, + "win_rate": 68, "rank": 3 }, { "arena": "models", "category": "codecategories", - "elo": 1378, - "win_rate": 64.1, + "elo": 1375, + "win_rate": 63.5, "rank": 1 }, { "arena": "models", "category": "dataviz", - "elo": 1353, - "win_rate": 63.1, - "rank": 4 + "elo": 1358, + "win_rate": 63.9, + "rank": 3 }, { "arena": "models", "category": "gamedev", - "elo": 1390, - "win_rate": 63.3, - "rank": 2 + "elo": 1385, + "win_rate": 62.5, + "rank": 3 }, { "arena": "models", "category": "svg", - "elo": 1319, - "win_rate": 62.3, - "rank": 4 + "elo": 1299, + "win_rate": 59.4, + "rank": 6 }, { "arena": "models", "category": "uicomponent", - "elo": 1371, - "win_rate": 63, - "rank": 1 + "elo": 1364, + "win_rate": 62.3, + "rank": 3 }, { "arena": "models", "category": "website", - "elo": 1348, - "win_rate": 60.5, - "rank": 2 + "elo": 1345, + "win_rate": 60, + "rank": 3 } ], "artificial_analysis": { @@ -18737,29 +18865,29 @@ { "arena": "agents", "category": "fullstack", - "elo": 1312, + "elo": 1315, "win_rate": 61.9, - "rank": 2 + "rank": 4 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1221, - "win_rate": 47.9, + "elo": 1223, + "win_rate": 48.2, "rank": 14 }, { "arena": "agents", "category": "htmlslides", - "elo": 1259, + "elo": 1256, "win_rate": 59.6, - "rank": 2 + "rank": 3 }, { "arena": "agents", "category": "mobileapps", - "elo": 1279, - "win_rate": 57.7, + "elo": 1284, + "win_rate": 57.1, "rank": 3 }, { @@ -18772,58 +18900,58 @@ { "arena": "agents", "category": "webapps", - "elo": 1296, - "win_rate": 58.9, + "elo": 1291, + "win_rate": 59.1, "rank": 5 }, { "arena": "models", "category": "3d", - "elo": 1421, - "win_rate": 68.6, + "elo": 1410, + "win_rate": 68, "rank": 3 }, { "arena": "models", "category": "codecategories", - "elo": 1378, - "win_rate": 64.1, + "elo": 1375, + "win_rate": 63.5, "rank": 1 }, { "arena": "models", "category": "dataviz", - "elo": 1353, - "win_rate": 63.1, - "rank": 4 + "elo": 1358, + "win_rate": 63.9, + "rank": 3 }, { "arena": "models", "category": "gamedev", - "elo": 1390, - "win_rate": 63.3, - "rank": 2 + "elo": 1385, + "win_rate": 62.5, + "rank": 3 }, { "arena": "models", "category": "svg", - "elo": 1319, - "win_rate": 62.3, - "rank": 4 + "elo": 1299, + "win_rate": 59.4, + "rank": 6 }, { "arena": "models", "category": "uicomponent", - "elo": 1371, - "win_rate": 63, - "rank": 1 + "elo": 1364, + "win_rate": 62.3, + "rank": 3 }, { "arena": "models", "category": "website", - "elo": 1348, - "win_rate": 60.5, - "rank": 2 + "elo": 1345, + "win_rate": 60, + "rank": 3 } ], "artificial_analysis": { @@ -18924,10 +19052,10 @@ } }, { - "id": "nex-agi/nex-n2.5-mini:free", + "id": "nex-agi/nex-n2.5-mini", "canonical_slug": "nex-agi/nex-n2.5-mini-20260908", "hugging_face_id": "nex-agi/Nex-N2.5-mini", - "name": "Nex AGI: Nex-N2.5-Mini (free)", + "name": "Nex AGI: Nex-N2.5-Mini", "created": 1788890061, "description": "Nex-N2.5 is an agentic model built to turn goals into working, verified outcomes. Its core strength is agentic coding within a visual feedback loop: it can explore codebases, implement multi-file...", "context_length": 262144, @@ -18939,8 +19067,9 @@ "instruct_type": null }, "pricing": { - "prompt": "0", - "completion": "0" + "prompt": "0.000000025", + "completion": "0.0000001", + "input_cache_read": "0.0000000025" }, "top_provider": { "context_length": 262144, @@ -18954,11 +19083,8 @@ "max_tokens", "reasoning", "reasoning_effort", - "response_format", "structured_outputs", "temperature", - "tool_choice", - "tools", "top_k", "top_logprobs", "top_p" @@ -18970,7 +19096,7 @@ }, "supported_voices": null, "knowledge_cutoff": null, - "expiration_date": "2026-09-25", + "expiration_date": null, "links": { "details": "/api/v1/models/nex-agi/nex-n2.5-mini-20260908/endpoints" }, @@ -18981,10 +19107,10 @@ } }, { - "id": "nex-agi/nex-n2.5-pro:free", + "id": "nex-agi/nex-n2.5-pro", "canonical_slug": "nex-agi/nex-n2.5-pro-20260907", "hugging_face_id": "nex-agi/Nex-N2.5-Pro", - "name": "Nex AGI: Nex-N2.5-Pro (free)", + "name": "Nex AGI: Nex-N2.5-Pro", "created": 1788890050, "description": "Nex-N2.5 is an agentic model built to turn goals into working, verified outcomes. Its core strength is agentic coding within a visual feedback loop: it can explore codebases, implement multi-file...", "context_length": 262144, @@ -18996,8 +19122,9 @@ "instruct_type": null }, "pricing": { - "prompt": "0", - "completion": "0" + "prompt": "0.000000075", + "completion": "0.00000025", + "input_cache_read": "0.000000015" }, "top_provider": { "context_length": 262144, @@ -19011,7 +19138,6 @@ "max_tokens", "reasoning", "reasoning_effort", - "response_format", "structured_outputs", "temperature", "tool_choice", @@ -19027,7 +19153,7 @@ }, "supported_voices": null, "knowledge_cutoff": null, - "expiration_date": "2026-09-25", + "expiration_date": null, "links": { "details": "/api/v1/models/nex-agi/nex-n2.5-pro-20260907/endpoints" }, @@ -19523,58 +19649,58 @@ { "arena": "models", "category": "3d", - "elo": 1159, - "win_rate": 39.7, - "rank": 64 + "elo": 1150, + "win_rate": 39.4, + "rank": 65 }, { "arena": "models", "category": "asciiart", - "elo": 1097, - "win_rate": 37, - "rank": 60 + "elo": 1109, + "win_rate": 38.6, + "rank": 58 }, { "arena": "models", "category": "codecategories", "elo": 1153, - "win_rate": 36.4, + "win_rate": 36.2, "rank": 75 }, { "arena": "models", "category": "dataviz", - "elo": 1154, - "win_rate": 38, - "rank": 74 + "elo": 1150, + "win_rate": 37.6, + "rank": 76 }, { "arena": "models", "category": "gamedev", - "elo": 1151, - "win_rate": 36.9, - "rank": 69 + "elo": 1152, + "win_rate": 36.8, + "rank": 68 }, { "arena": "models", "category": "svg", - "elo": 1086, - "win_rate": 34.9, - "rank": 62 + "elo": 1069, + "win_rate": 32.9, + "rank": 68 }, { "arena": "models", "category": "uicomponent", - "elo": 1155, - "win_rate": 37.3, - "rank": 71 + "elo": 1148, + "win_rate": 36.4, + "rank": 73 }, { "arena": "models", "category": "website", - "elo": 1147, + "elo": 1148, "win_rate": 34.9, - "rank": 83 + "rank": 84 } ], "artificial_analysis": { @@ -19646,58 +19772,58 @@ { "arena": "models", "category": "3d", - "elo": 1159, - "win_rate": 39.7, - "rank": 64 + "elo": 1150, + "win_rate": 39.4, + "rank": 65 }, { "arena": "models", "category": "asciiart", - "elo": 1097, - "win_rate": 37, - "rank": 60 + "elo": 1109, + "win_rate": 38.6, + "rank": 58 }, { "arena": "models", "category": "codecategories", "elo": 1153, - "win_rate": 36.4, + "win_rate": 36.2, "rank": 75 }, { "arena": "models", "category": "dataviz", - "elo": 1154, - "win_rate": 38, - "rank": 74 + "elo": 1150, + "win_rate": 37.6, + "rank": 76 }, { "arena": "models", "category": "gamedev", - "elo": 1151, - "win_rate": 36.9, - "rank": 69 + "elo": 1152, + "win_rate": 36.8, + "rank": 68 }, { "arena": "models", "category": "svg", - "elo": 1086, - "win_rate": 34.9, - "rank": 62 + "elo": 1069, + "win_rate": 32.9, + "rank": 68 }, { "arena": "models", "category": "uicomponent", - "elo": 1155, - "win_rate": 37.3, - "rank": 71 + "elo": 1148, + "win_rate": 36.4, + "rank": 73 }, { "arena": "models", "category": "website", - "elo": 1147, + "elo": 1148, "win_rate": 34.9, - "rank": 83 + "rank": 84 } ], "artificial_analysis": { @@ -19841,13 +19967,13 @@ "instruct_type": null }, "pricing": { - "prompt": "0.00000008", - "completion": "0.0000002", - "input_cache_read": "0.00000004" + "prompt": "0.00000006", + "completion": "0.00000016", + "input_cache_read": "0.00000003" }, "top_provider": { "context_length": 262144, - "max_completion_tokens": 131072, + "max_completion_tokens": 32768, "is_moderated": false }, "per_request_limits": null, @@ -20429,44 +20555,44 @@ { "arena": "models", "category": "3d", - "elo": 875, + "elo": 868, "win_rate": 30.9, - "rank": 115 + "rank": 116 }, { "arena": "models", "category": "codecategories", - "elo": 1035, + "elo": 1034, "win_rate": 50.9, "rank": 107 }, { "arena": "models", "category": "dataviz", - "elo": 1113, + "elo": 1112, "win_rate": 59.5, - "rank": 87 + "rank": 88 }, { "arena": "models", "category": "gamedev", - "elo": 1095, + "elo": 1092, "win_rate": 59.1, - "rank": 89 + "rank": 91 }, { "arena": "models", "category": "uicomponent", - "elo": 1014, + "elo": 1010, "win_rate": 49.7, - "rank": 104 + "rank": 105 }, { "arena": "models", "category": "website", - "elo": 1047, + "elo": 1046, "win_rate": 52.3, - "rank": 108 + "rank": 110 } ] } @@ -20521,44 +20647,44 @@ { "arena": "models", "category": "3d", - "elo": 862, + "elo": 855, "win_rate": 30.5, - "rank": 116 + "rank": 117 }, { "arena": "models", "category": "codecategories", - "elo": 1003, + "elo": 1002, "win_rate": 47.5, "rank": 114 }, { "arena": "models", "category": "dataviz", - "elo": 1043, + "elo": 1042, "win_rate": 49.2, - "rank": 102 + "rank": 103 }, { "arena": "models", "category": "gamedev", - "elo": 1086, + "elo": 1084, "win_rate": 58.5, - "rank": 93 + "rank": 95 }, { "arena": "models", "category": "uicomponent", - "elo": 975, + "elo": 971, "win_rate": 45.4, - "rank": 108 + "rank": 109 }, { "arena": "models", "category": "website", "elo": 1005, "win_rate": 47.8, - "rank": 116 + "rank": 118 } ], "artificial_analysis": { @@ -20617,44 +20743,44 @@ { "arena": "models", "category": "3d", - "elo": 862, + "elo": 855, "win_rate": 30.5, - "rank": 116 + "rank": 117 }, { "arena": "models", "category": "codecategories", - "elo": 1003, + "elo": 1002, "win_rate": 47.5, "rank": 114 }, { "arena": "models", "category": "dataviz", - "elo": 1043, + "elo": 1042, "win_rate": 49.2, - "rank": 102 + "rank": 103 }, { "arena": "models", "category": "gamedev", - "elo": 1086, + "elo": 1084, "win_rate": 58.5, - "rank": 93 + "rank": 95 }, { "arena": "models", "category": "uicomponent", - "elo": 975, + "elo": 971, "win_rate": 45.4, - "rank": 108 + "rank": 109 }, { "arena": "models", "category": "website", "elo": 1005, "win_rate": 47.8, - "rank": 116 + "rank": 118 } ], "artificial_analysis": { @@ -20714,9 +20840,9 @@ { "arena": "models", "category": "3d", - "elo": 951, + "elo": 943, "win_rate": 46, - "rank": 109 + "rank": 110 }, { "arena": "models", @@ -20728,30 +20854,30 @@ { "arena": "models", "category": "dataviz", - "elo": 901, + "elo": 899, "win_rate": 41.1, - "rank": 119 + "rank": 120 }, { "arena": "models", "category": "gamedev", - "elo": 986, + "elo": 983, "win_rate": 49.6, - "rank": 112 + "rank": 114 }, { "arena": "models", "category": "uicomponent", - "elo": 929, + "elo": 926, "win_rate": 43.9, - "rank": 114 + "rank": 115 }, { "arena": "models", "category": "website", - "elo": 981, + "elo": 980, "win_rate": 48.1, - "rank": 118 + "rank": 120 } ], "artificial_analysis": { @@ -20810,9 +20936,9 @@ { "arena": "models", "category": "3d", - "elo": 951, + "elo": 943, "win_rate": 46, - "rank": 109 + "rank": 110 }, { "arena": "models", @@ -20824,30 +20950,30 @@ { "arena": "models", "category": "dataviz", - "elo": 901, + "elo": 899, "win_rate": 41.1, - "rank": 119 + "rank": 120 }, { "arena": "models", "category": "gamedev", - "elo": 986, + "elo": 983, "win_rate": 49.6, - "rank": 112 + "rank": 114 }, { "arena": "models", "category": "uicomponent", - "elo": 929, + "elo": 926, "win_rate": 43.9, - "rank": 114 + "rank": 115 }, { "arena": "models", "category": "website", - "elo": 981, + "elo": 980, "win_rate": 48.1, - "rank": 118 + "rank": 120 } ], "artificial_analysis": { @@ -20906,44 +21032,44 @@ { "arena": "models", "category": "3d", - "elo": 875, + "elo": 868, "win_rate": 30.9, - "rank": 115 + "rank": 116 }, { "arena": "models", "category": "codecategories", - "elo": 1035, + "elo": 1034, "win_rate": 50.9, "rank": 107 }, { "arena": "models", "category": "dataviz", - "elo": 1113, + "elo": 1112, "win_rate": 59.5, - "rank": 87 + "rank": 88 }, { "arena": "models", "category": "gamedev", - "elo": 1095, + "elo": 1092, "win_rate": 59.1, - "rank": 89 + "rank": 91 }, { "arena": "models", "category": "uicomponent", - "elo": 1014, + "elo": 1010, "win_rate": 49.7, - "rank": 104 + "rank": 105 }, { "arena": "models", "category": "website", - "elo": 1047, + "elo": 1046, "win_rate": 52.3, - "rank": 108 + "rank": 110 } ] } @@ -21005,9 +21131,9 @@ { "arena": "models", "category": "3d", - "elo": 894, + "elo": 887, "win_rate": 39.2, - "rank": 112 + "rank": 113 }, { "arena": "models", @@ -21019,30 +21145,30 @@ { "arena": "models", "category": "dataviz", - "elo": 866, + "elo": 865, "win_rate": 36, - "rank": 121 + "rank": 122 }, { "arena": "models", "category": "gamedev", - "elo": 922, + "elo": 919, "win_rate": 42.3, - "rank": 120 + "rank": 122 }, { "arena": "models", "category": "uicomponent", - "elo": 899, + "elo": 895, "win_rate": 38.1, - "rank": 118 + "rank": 119 }, { "arena": "models", "category": "website", "elo": 839, "win_rate": 31.5, - "rank": 130 + "rank": 132 } ] } @@ -21443,9 +21569,9 @@ { "arena": "models", "category": "3d", - "elo": 894, + "elo": 887, "win_rate": 39.2, - "rank": 112 + "rank": 113 }, { "arena": "models", @@ -21457,30 +21583,30 @@ { "arena": "models", "category": "dataviz", - "elo": 866, + "elo": 865, "win_rate": 36, - "rank": 121 + "rank": 122 }, { "arena": "models", "category": "gamedev", - "elo": 922, + "elo": 919, "win_rate": 42.3, - "rank": 120 + "rank": 122 }, { "arena": "models", "category": "uicomponent", - "elo": 899, + "elo": 895, "win_rate": 38.1, - "rank": 118 + "rank": 119 }, { "arena": "models", "category": "website", "elo": 839, "win_rate": 31.5, - "rank": 130 + "rank": 132 } ] } @@ -21543,16 +21669,16 @@ { "arena": "models", "category": "3d", - "elo": 1081, + "elo": 1074, "win_rate": 41.3, - "rank": 92 + "rank": 94 }, { "arena": "models", "category": "asciiart", - "elo": 1153, + "elo": 1155, "win_rate": 49, - "rank": 45 + "rank": 42 }, { "arena": "models", @@ -21564,37 +21690,37 @@ { "arena": "models", "category": "dataviz", - "elo": 1232, + "elo": 1230, "win_rate": 60.5, - "rank": 41 + "rank": 43 }, { "arena": "models", "category": "gamedev", - "elo": 1201, + "elo": 1198, "win_rate": 59.3, - "rank": 49 + "rank": 51 }, { "arena": "models", "category": "svg", - "elo": 1199, + "elo": 1185, "win_rate": 64.1, - "rank": 27 + "rank": 30 }, { "arena": "models", "category": "uicomponent", - "elo": 1194, + "elo": 1190, "win_rate": 57.4, - "rank": 55 + "rank": 56 }, { "arena": "models", "category": "website", "elo": 1192, "win_rate": 53.7, - "rank": 62 + "rank": 64 } ], "artificial_analysis": { @@ -21669,7 +21795,7 @@ { "arena": "models", "category": "graphicdesign", - "elo": 1173, + "elo": 1174, "win_rate": 48.9, "rank": 9 }, @@ -21683,7 +21809,7 @@ { "arena": "models", "category": "logo", - "elo": 1203, + "elo": 1204, "win_rate": 52.7, "rank": 9 } @@ -21753,21 +21879,21 @@ { "arena": "models", "category": "graphicdesign", - "elo": 1166, + "elo": 1167, "win_rate": 47.7, "rank": 11 }, { "arena": "models", "category": "image", - "elo": 1186, + "elo": 1187, "win_rate": 51, "rank": 11 }, { "arena": "models", "category": "logo", - "elo": 1209, + "elo": 1210, "win_rate": 51.4, "rank": 8 } @@ -21835,16 +21961,16 @@ { "arena": "models", "category": "3d", - "elo": 1064, + "elo": 1055, "win_rate": 36.9, - "rank": 95 + "rank": 97 }, { "arena": "models", "category": "asciiart", - "elo": 1136, + "elo": 1138, "win_rate": 44.7, - "rank": 50 + "rank": 51 }, { "arena": "models", @@ -21856,37 +21982,37 @@ { "arena": "models", "category": "dataviz", - "elo": 1141, + "elo": 1139, "win_rate": 43.7, - "rank": 80 + "rank": 81 }, { "arena": "models", "category": "gamedev", - "elo": 1145, + "elo": 1142, "win_rate": 46.5, - "rank": 74 + "rank": 76 }, { "arena": "models", "category": "svg", - "elo": 1102, + "elo": 1089, "win_rate": 45.8, - "rank": 58 + "rank": 61 }, { "arena": "models", "category": "uicomponent", - "elo": 1120, + "elo": 1116, "win_rate": 41.9, - "rank": 80 + "rank": 81 }, { "arena": "models", "category": "website", "elo": 1133, "win_rate": 44.3, - "rank": 86 + "rank": 88 } ], "artificial_analysis": { @@ -21958,16 +22084,16 @@ { "arena": "models", "category": "3d", - "elo": 1064, + "elo": 1055, "win_rate": 36.9, - "rank": 95 + "rank": 97 }, { "arena": "models", "category": "asciiart", - "elo": 1136, + "elo": 1138, "win_rate": 44.7, - "rank": 50 + "rank": 51 }, { "arena": "models", @@ -21979,37 +22105,37 @@ { "arena": "models", "category": "dataviz", - "elo": 1141, + "elo": 1139, "win_rate": 43.7, - "rank": 80 + "rank": 81 }, { "arena": "models", "category": "gamedev", - "elo": 1145, + "elo": 1142, "win_rate": 46.5, - "rank": 74 + "rank": 76 }, { "arena": "models", "category": "svg", - "elo": 1102, + "elo": 1089, "win_rate": 45.8, - "rank": 58 + "rank": 61 }, { "arena": "models", "category": "uicomponent", - "elo": 1120, + "elo": 1116, "win_rate": 41.9, - "rank": 80 + "rank": 81 }, { "arena": "models", "category": "website", "elo": 1133, "win_rate": 44.3, - "rank": 86 + "rank": 88 } ], "artificial_analysis": { @@ -22082,44 +22208,44 @@ { "arena": "models", "category": "3d", - "elo": 991, + "elo": 984, "win_rate": 36.3, - "rank": 107 + "rank": 108 }, { "arena": "models", "category": "codecategories", - "elo": 1094, + "elo": 1093, "win_rate": 48, "rank": 95 }, { "arena": "models", "category": "dataviz", - "elo": 1066, + "elo": 1065, "win_rate": 46.2, - "rank": 99 + "rank": 100 }, { "arena": "models", "category": "gamedev", - "elo": 1060, + "elo": 1058, "win_rate": 46.5, - "rank": 98 + "rank": 100 }, { "arena": "models", "category": "uicomponent", - "elo": 1080, + "elo": 1077, "win_rate": 51.9, - "rank": 93 + "rank": 94 }, { "arena": "models", "category": "website", "elo": 1109, "win_rate": 48.9, - "rank": 95 + "rank": 97 } ] }, @@ -22186,44 +22312,44 @@ { "arena": "models", "category": "3d", - "elo": 991, + "elo": 984, "win_rate": 36.3, - "rank": 107 + "rank": 108 }, { "arena": "models", "category": "codecategories", - "elo": 1094, + "elo": 1093, "win_rate": 48, "rank": 95 }, { "arena": "models", "category": "dataviz", - "elo": 1066, + "elo": 1065, "win_rate": 46.2, - "rank": 99 + "rank": 100 }, { "arena": "models", "category": "gamedev", - "elo": 1060, + "elo": 1058, "win_rate": 46.5, - "rank": 98 + "rank": 100 }, { "arena": "models", "category": "uicomponent", - "elo": 1080, + "elo": 1077, "win_rate": 51.9, - "rank": 93 + "rank": 94 }, { "arena": "models", "category": "website", "elo": 1109, "win_rate": 48.9, - "rank": 95 + "rank": 97 } ] }, @@ -22398,16 +22524,16 @@ { "arena": "models", "category": "3d", - "elo": 1081, + "elo": 1074, "win_rate": 41.3, - "rank": 92 + "rank": 94 }, { "arena": "models", "category": "asciiart", - "elo": 1153, + "elo": 1155, "win_rate": 49, - "rank": 45 + "rank": 42 }, { "arena": "models", @@ -22419,37 +22545,37 @@ { "arena": "models", "category": "dataviz", - "elo": 1232, + "elo": 1230, "win_rate": 60.5, - "rank": 41 + "rank": 43 }, { "arena": "models", "category": "gamedev", - "elo": 1201, + "elo": 1198, "win_rate": 59.3, - "rank": 49 + "rank": 51 }, { "arena": "models", "category": "svg", - "elo": 1199, + "elo": 1185, "win_rate": 64.1, - "rank": 27 + "rank": 30 }, { "arena": "models", "category": "uicomponent", - "elo": 1194, + "elo": 1190, "win_rate": 57.4, - "rank": 55 + "rank": 56 }, { "arena": "models", "category": "website", "elo": 1192, "win_rate": 53.7, - "rank": 62 + "rank": 64 } ], "artificial_analysis": { @@ -22522,16 +22648,16 @@ { "arena": "models", "category": "3d", - "elo": 1088, + "elo": 1079, "win_rate": 43.7, - "rank": 91 + "rank": 92 }, { "arena": "models", "category": "asciiart", - "elo": 1131, + "elo": 1133, "win_rate": 48.6, - "rank": 51 + "rank": 52 }, { "arena": "models", @@ -22543,37 +22669,37 @@ { "arena": "models", "category": "dataviz", - "elo": 1215, + "elo": 1214, "win_rate": 58, - "rank": 47 + "rank": 48 }, { "arena": "models", "category": "gamedev", - "elo": 1194, + "elo": 1192, "win_rate": 55.9, - "rank": 51 + "rank": 53 }, { "arena": "models", "category": "svg", - "elo": 1160, + "elo": 1147, "win_rate": 57.4, - "rank": 41 + "rank": 45 }, { "arena": "models", "category": "uicomponent", - "elo": 1180, + "elo": 1176, "win_rate": 52.9, - "rank": 61 + "rank": 62 }, { "arena": "models", "category": "website", "elo": 1195, "win_rate": 54, - "rank": 60 + "rank": 61 } ], "artificial_analysis": { @@ -22648,56 +22774,56 @@ "category": "fullstack", "elo": 1086, "win_rate": 44.5, - "rank": 29 + "rank": 30 }, { "arena": "agents", "category": "mobileapps", "elo": 1191, "win_rate": 53.4, - "rank": 22 + "rank": 18 }, { "arena": "agents", "category": "webapps", - "elo": 1024, + "elo": 1029, "win_rate": 44, "rank": 40 }, { "arena": "models", "category": "codecategories", - "elo": 1162, + "elo": 1161, "win_rate": 54.6, "rank": 72 }, { "arena": "models", "category": "dataviz", - "elo": 1224, + "elo": 1222, "win_rate": 55.9, - "rank": 45 + "rank": 46 }, { "arena": "models", "category": "gamedev", - "elo": 1154, + "elo": 1151, "win_rate": 50.5, - "rank": 67 + "rank": 70 }, { "arena": "models", "category": "uicomponent", - "elo": 1251, + "elo": 1247, "win_rate": 60, - "rank": 36 + "rank": 37 }, { "arena": "models", "category": "website", - "elo": 1170, + "elo": 1169, "win_rate": 56.1, - "rank": 73 + "rank": 76 } ] }, @@ -22822,16 +22948,16 @@ { "arena": "models", "category": "3d", - "elo": 1014, + "elo": 1006, "win_rate": 32.8, - "rank": 104 + "rank": 105 }, { "arena": "models", "category": "asciiart", - "elo": 1117, + "elo": 1119, "win_rate": 43, - "rank": 55 + "rank": 56 }, { "arena": "models", @@ -22843,37 +22969,37 @@ { "arena": "models", "category": "dataviz", - "elo": 1107, + "elo": 1106, "win_rate": 40.6, - "rank": 91 + "rank": 92 }, { "arena": "models", "category": "gamedev", - "elo": 1108, + "elo": 1105, "win_rate": 43.4, - "rank": 86 + "rank": 88 }, { "arena": "models", "category": "svg", - "elo": 989, + "elo": 976, "win_rate": 35.3, - "rank": 83 + "rank": 86 }, { "arena": "models", "category": "uicomponent", - "elo": 1095, + "elo": 1091, "win_rate": 41, - "rank": 89 + "rank": 90 }, { "arena": "models", "category": "website", - "elo": 1119, + "elo": 1118, "win_rate": 42.8, - "rank": 93 + "rank": 95 } ] }, @@ -22940,16 +23066,16 @@ { "arena": "models", "category": "3d", - "elo": 1088, + "elo": 1079, "win_rate": 43.7, - "rank": 91 + "rank": 92 }, { "arena": "models", "category": "asciiart", - "elo": 1131, + "elo": 1133, "win_rate": 48.6, - "rank": 51 + "rank": 52 }, { "arena": "models", @@ -22961,37 +23087,37 @@ { "arena": "models", "category": "dataviz", - "elo": 1215, + "elo": 1214, "win_rate": 58, - "rank": 47 + "rank": 48 }, { "arena": "models", "category": "gamedev", - "elo": 1194, + "elo": 1192, "win_rate": 55.9, - "rank": 51 + "rank": 53 }, { "arena": "models", "category": "svg", - "elo": 1160, + "elo": 1147, "win_rate": 57.4, - "rank": 41 + "rank": 45 }, { "arena": "models", "category": "uicomponent", - "elo": 1180, + "elo": 1176, "win_rate": 52.9, - "rank": 61 + "rank": 62 }, { "arena": "models", "category": "website", "elo": 1195, "win_rate": 54, - "rank": 60 + "rank": 61 } ], "artificial_analysis": { @@ -23065,21 +23191,21 @@ { "arena": "models", "category": "website", - "elo": 1203, + "elo": 1202, "win_rate": 54.4, - "rank": 53 + "rank": 57 }, { "arena": "agents", "category": "androidnative", - "elo": 1073, + "elo": 1077, "win_rate": 49.1, - "rank": 31 + "rank": 32 }, { "arena": "agents", "category": "fullstack", - "elo": 1039, + "elo": 1051, "win_rate": 44.3, "rank": 37 }, @@ -23093,23 +23219,23 @@ { "arena": "agents", "category": "mobileapps", - "elo": 1122, + "elo": 1092, "win_rate": 46.8, - "rank": 35 + "rank": 37 }, { "arena": "agents", "category": "webapps", - "elo": 1091, + "elo": 1096, "win_rate": 45.5, "rank": 35 }, { "arena": "models", "category": "3d", - "elo": 1106, + "elo": 1097, "win_rate": 41.5, - "rank": 86 + "rank": 87 }, { "arena": "models", @@ -23121,37 +23247,37 @@ { "arena": "models", "category": "dataviz", - "elo": 1211, + "elo": 1210, "win_rate": 56.1, - "rank": 49 + "rank": 51 }, { "arena": "models", "category": "gamedev", - "elo": 1211, + "elo": 1208, "win_rate": 56, - "rank": 45 + "rank": 47 }, { "arena": "models", "category": "uicomponent", - "elo": 1204, + "elo": 1200, "win_rate": 51.3, - "rank": 52 + "rank": 53 }, { "arena": "models", "category": "asciiart", - "elo": 1165, + "elo": 1167, "win_rate": 50.7, "rank": 35 }, { "arena": "models", "category": "svg", - "elo": 1149, + "elo": 1137, "win_rate": 53.7, - "rank": 46 + "rank": 49 } ] }, @@ -23269,7 +23395,7 @@ { "arena": "agents", "category": "fullstack", - "elo": 989, + "elo": 1001, "win_rate": 37.2, "rank": 41 }, @@ -23283,14 +23409,14 @@ { "arena": "agents", "category": "mobileapps", - "elo": 1118, + "elo": 1088, "win_rate": 46.6, - "rank": 39 + "rank": 40 }, { "arena": "agents", "category": "webapps", - "elo": 1057, + "elo": 1061, "win_rate": 39.6, "rank": 38 } @@ -23467,21 +23593,21 @@ { "arena": "models", "category": "website", - "elo": 1203, + "elo": 1202, "win_rate": 54.4, - "rank": 53 + "rank": 57 }, { "arena": "agents", "category": "androidnative", - "elo": 1073, + "elo": 1077, "win_rate": 49.1, - "rank": 31 + "rank": 32 }, { "arena": "agents", "category": "fullstack", - "elo": 1039, + "elo": 1051, "win_rate": 44.3, "rank": 37 }, @@ -23495,23 +23621,23 @@ { "arena": "agents", "category": "mobileapps", - "elo": 1122, + "elo": 1092, "win_rate": 46.8, - "rank": 35 + "rank": 37 }, { "arena": "agents", "category": "webapps", - "elo": 1091, + "elo": 1096, "win_rate": 45.5, "rank": 35 }, { "arena": "models", "category": "3d", - "elo": 1106, + "elo": 1097, "win_rate": 41.5, - "rank": 86 + "rank": 87 }, { "arena": "models", @@ -23523,37 +23649,37 @@ { "arena": "models", "category": "dataviz", - "elo": 1211, + "elo": 1210, "win_rate": 56.1, - "rank": 49 + "rank": 51 }, { "arena": "models", "category": "gamedev", - "elo": 1211, + "elo": 1208, "win_rate": 56, - "rank": 45 + "rank": 47 }, { "arena": "models", "category": "uicomponent", - "elo": 1204, + "elo": 1200, "win_rate": 51.3, - "rank": 52 + "rank": 53 }, { "arena": "models", "category": "asciiart", - "elo": 1165, + "elo": 1167, "win_rate": 50.7, "rank": 35 }, { "arena": "models", "category": "svg", - "elo": 1149, + "elo": 1137, "win_rate": 53.7, - "rank": 46 + "rank": 49 } ] }, @@ -23628,7 +23754,7 @@ { "arena": "agents", "category": "fullstack", - "elo": 979, + "elo": 992, "win_rate": 36.5, "rank": 42 }, @@ -23642,28 +23768,28 @@ { "arena": "agents", "category": "mobileapps", - "elo": 1082, + "elo": 1052, "win_rate": 41.4, - "rank": 42 + "rank": 44 }, { "arena": "agents", "category": "webapps", - "elo": 1038, + "elo": 1043, "win_rate": 36.9, "rank": 39 }, { "arena": "models", "category": "3d", - "elo": 1035, + "elo": 1026, "win_rate": 35.3, - "rank": 99 + "rank": 101 }, { "arena": "models", "category": "asciiart", - "elo": 1164, + "elo": 1166, "win_rate": 51.2, "rank": 36 }, @@ -23677,37 +23803,37 @@ { "arena": "models", "category": "dataviz", - "elo": 1174, + "elo": 1173, "win_rate": 50.6, - "rank": 66 + "rank": 67 }, { "arena": "models", "category": "gamedev", - "elo": 1177, + "elo": 1174, "win_rate": 51.3, - "rank": 59 + "rank": 62 }, { "arena": "models", "category": "svg", - "elo": 1139, + "elo": 1127, "win_rate": 54, - "rank": 50 + "rank": 53 }, { "arena": "models", "category": "uicomponent", - "elo": 1151, + "elo": 1147, "win_rate": 47.3, - "rank": 73 + "rank": 74 }, { "arena": "models", "category": "website", - "elo": 1171, + "elo": 1170, "win_rate": 48.6, - "rank": 72 + "rank": 74 } ] }, @@ -23783,14 +23909,14 @@ { "arena": "models", "category": "3d", - "elo": 1127, + "elo": 1120, "win_rate": 42.3, - "rank": 76 + "rank": 78 }, { "arena": "models", "category": "asciiart", - "elo": 1212, + "elo": 1213, "win_rate": 55.4, "rank": 22 }, @@ -23804,50 +23930,50 @@ { "arena": "models", "category": "dataviz", - "elo": 1245, + "elo": 1244, "win_rate": 56.6, "rank": 34 }, { "arena": "models", "category": "gamedev", - "elo": 1254, + "elo": 1252, "win_rate": 57.6, - "rank": 31 + "rank": 33 }, { "arena": "models", "category": "svg", - "elo": 1205, + "elo": 1193, "win_rate": 57.8, - "rank": 23 + "rank": 27 }, { "arena": "models", "category": "uicomponent", - "elo": 1254, + "elo": 1250, "win_rate": 57.4, - "rank": 34 + "rank": 35 }, { "arena": "models", "category": "website", "elo": 1228, "win_rate": 52.5, - "rank": 47 + "rank": 49 }, { "arena": "agents", "category": "androidnative", - "elo": 1046, + "elo": 1049, "win_rate": 47.4, - "rank": 35 + "rank": 36 }, { "arena": "agents", "category": "fullstack", - "elo": 1013, - "win_rate": 40.8, + "elo": 1026, + "win_rate": 40.9, "rank": 39 }, { @@ -23860,14 +23986,14 @@ { "arena": "agents", "category": "mobileapps", - "elo": 1115, + "elo": 1085, "win_rate": 46.1, - "rank": 40 + "rank": 42 }, { "arena": "agents", "category": "webapps", - "elo": 1065, + "elo": 1070, "win_rate": 40.3, "rank": 37 } @@ -24413,14 +24539,14 @@ { "arena": "models", "category": "3d", - "elo": 1127, + "elo": 1120, "win_rate": 42.3, - "rank": 76 + "rank": 78 }, { "arena": "models", "category": "asciiart", - "elo": 1212, + "elo": 1213, "win_rate": 55.4, "rank": 22 }, @@ -24434,50 +24560,50 @@ { "arena": "models", "category": "dataviz", - "elo": 1245, + "elo": 1244, "win_rate": 56.6, "rank": 34 }, { "arena": "models", "category": "gamedev", - "elo": 1254, + "elo": 1252, "win_rate": 57.6, - "rank": 31 + "rank": 33 }, { "arena": "models", "category": "svg", - "elo": 1205, + "elo": 1193, "win_rate": 57.8, - "rank": 23 + "rank": 27 }, { "arena": "models", "category": "uicomponent", - "elo": 1254, + "elo": 1250, "win_rate": 57.4, - "rank": 34 + "rank": 35 }, { "arena": "models", "category": "website", "elo": 1228, "win_rate": 52.5, - "rank": 47 + "rank": 49 }, { "arena": "agents", "category": "androidnative", - "elo": 1046, + "elo": 1049, "win_rate": 47.4, - "rank": 35 + "rank": 36 }, { "arena": "agents", "category": "fullstack", - "elo": 1013, - "win_rate": 40.8, + "elo": 1026, + "win_rate": 40.9, "rank": 39 }, { @@ -24490,14 +24616,14 @@ { "arena": "agents", "category": "mobileapps", - "elo": 1115, + "elo": 1085, "win_rate": 46.1, - "rank": 40 + "rank": 42 }, { "arena": "agents", "category": "webapps", - "elo": 1065, + "elo": 1070, "win_rate": 40.3, "rank": 37 } @@ -24581,7 +24707,7 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1179, + "elo": 1181, "win_rate": 52.4, "rank": 14 }, @@ -24616,37 +24742,37 @@ { "arena": "agents", "category": "androidnative", - "elo": 1177, + "elo": 1179, "win_rate": 50.9, "rank": 19 }, { "arena": "agents", "category": "fullstack", - "elo": 1086, - "win_rate": 43, - "rank": 30 + "elo": 1099, + "win_rate": 43.2, + "rank": 29 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1172, + "elo": 1178, "win_rate": 52.3, "rank": 18 }, { "arena": "agents", "category": "htmlslides", - "elo": 1070, + "elo": 1069, "win_rate": 35.6, "rank": 22 }, { "arena": "agents", "category": "mobileapps", - "elo": 1171, + "elo": 1139, "win_rate": 50.4, - "rank": 28 + "rank": 30 }, { "arena": "agents", @@ -24660,70 +24786,70 @@ "category": "python-pptxslides", "elo": 1152, "win_rate": 43.3, - "rank": 23 + "rank": 24 }, { "arena": "agents", "category": "webapps", - "elo": 1123, + "elo": 1128, "win_rate": 42.6, "rank": 32 }, { "arena": "models", "category": "3d", - "elo": 1223, - "win_rate": 50.3, - "rank": 41 + "elo": 1214, + "win_rate": 49.9, + "rank": 42 }, { "arena": "models", "category": "asciiart", - "elo": 1275, - "win_rate": 60.3, - "rank": 10 + "elo": 1274, + "win_rate": 59.8, + "rank": 13 }, { "arena": "models", "category": "codecategories", - "elo": 1268, - "win_rate": 53.9, + "elo": 1269, + "win_rate": 53.8, "rank": 28 }, { "arena": "models", "category": "dataviz", - "elo": 1271, - "win_rate": 55.6, + "elo": 1272, + "win_rate": 55.9, "rank": 24 }, { "arena": "models", "category": "gamedev", - "elo": 1311, - "win_rate": 58.5, - "rank": 11 + "elo": 1308, + "win_rate": 58.1, + "rank": 13 }, { "arena": "models", "category": "svg", - "elo": 1248, - "win_rate": 57.1, - "rank": 13 + "elo": 1235, + "win_rate": 56, + "rank": 16 }, { "arena": "models", "category": "uicomponent", - "elo": 1271, - "win_rate": 54.4, - "rank": 29 + "elo": 1268, + "win_rate": 54.1, + "rank": 30 }, { "arena": "models", "category": "website", - "elo": 1264, + "elo": 1265, "win_rate": 53, - "rank": 31 + "rank": 32 } ], "artificial_analysis": { @@ -24932,7 +25058,7 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1179, + "elo": 1181, "win_rate": 52.4, "rank": 14 }, @@ -24967,37 +25093,37 @@ { "arena": "agents", "category": "androidnative", - "elo": 1177, + "elo": 1179, "win_rate": 50.9, "rank": 19 }, { "arena": "agents", "category": "fullstack", - "elo": 1086, - "win_rate": 43, - "rank": 30 + "elo": 1099, + "win_rate": 43.2, + "rank": 29 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1172, + "elo": 1178, "win_rate": 52.3, "rank": 18 }, { "arena": "agents", "category": "htmlslides", - "elo": 1070, + "elo": 1069, "win_rate": 35.6, "rank": 22 }, { "arena": "agents", "category": "mobileapps", - "elo": 1171, + "elo": 1139, "win_rate": 50.4, - "rank": 28 + "rank": 30 }, { "arena": "agents", @@ -25011,70 +25137,70 @@ "category": "python-pptxslides", "elo": 1152, "win_rate": 43.3, - "rank": 23 + "rank": 24 }, { "arena": "agents", "category": "webapps", - "elo": 1123, + "elo": 1128, "win_rate": 42.6, "rank": 32 }, { "arena": "models", "category": "3d", - "elo": 1223, - "win_rate": 50.3, - "rank": 41 + "elo": 1214, + "win_rate": 49.9, + "rank": 42 }, { "arena": "models", "category": "asciiart", - "elo": 1275, - "win_rate": 60.3, - "rank": 10 + "elo": 1274, + "win_rate": 59.8, + "rank": 13 }, { "arena": "models", "category": "codecategories", - "elo": 1268, - "win_rate": 53.9, + "elo": 1269, + "win_rate": 53.8, "rank": 28 }, { "arena": "models", "category": "dataviz", - "elo": 1271, - "win_rate": 55.6, + "elo": 1272, + "win_rate": 55.9, "rank": 24 }, { "arena": "models", "category": "gamedev", - "elo": 1311, - "win_rate": 58.5, - "rank": 11 + "elo": 1308, + "win_rate": 58.1, + "rank": 13 }, { "arena": "models", "category": "svg", - "elo": 1248, - "win_rate": 57.1, - "rank": 13 + "elo": 1235, + "win_rate": 56, + "rank": 16 }, { "arena": "models", "category": "uicomponent", - "elo": 1271, - "win_rate": 54.4, - "rank": 29 + "elo": 1268, + "win_rate": 54.1, + "rank": 30 }, { "arena": "models", "category": "website", - "elo": 1264, + "elo": 1265, "win_rate": 53, - "rank": 31 + "rank": 32 } ], "artificial_analysis": { @@ -25174,7 +25300,7 @@ "hugging_face_id": null, "name": "OpenAI: GPT-5.6 Luna Pro", "created": 1783590867, - "description": "GPT-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](https://openrouter.ai/openai/gpt-5.6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks.\n\nLearn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode", + "description": "GPT-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](https://openrouter.ai/openai/gpt-5.6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...", "context_length": 1050000, "architecture": { "modality": "text+image+file->text", @@ -25244,7 +25370,7 @@ "hugging_face_id": null, "name": "OpenAI: GPT-5.6 Luna Pro (batch)", "created": 1783590867, - "description": "GPT-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](https://openrouter.ai/openai/gpt-5.6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks.\n\nLearn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode", + "description": "GPT-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](https://openrouter.ai/openai/gpt-5.6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...", "context_length": 1050000, "architecture": { "modality": "text+image+file->text", @@ -25464,7 +25590,7 @@ "hugging_face_id": null, "name": "OpenAI: GPT-5.6 Sol Pro", "created": 1783590854, - "description": "GPT-5.6 Sol Pro is the same underlying model as [GPT-5.6 Sol](https://openrouter.ai/openai/gpt-5.6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks.\n\nLearn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode", + "description": "GPT-5.6 Sol Pro is the same underlying model as [GPT-5.6 Sol](https://openrouter.ai/openai/gpt-5.6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...", "context_length": 1050000, "architecture": { "modality": "text+image+file->text", @@ -25474,25 +25600,25 @@ "instruct_type": null }, "pricing": { - "prompt": "0.000002", - "completion": "0.00001", + "prompt": "0.000004", + "completion": "0.00002", "web_search": "0.01", - "input_cache_read": "0.0000002", - "input_cache_write": "0.0000025", + "input_cache_read": "0.0000004", + "input_cache_write": "0.000005", "overrides": [ { "min_prompt_tokens": 272000, - 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"description": "GPT-5.6 Terra Pro is the same underlying model as [GPT-5.6 Terra](https://openrouter.ai/openai/gpt-5.6-terra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks.\n\nLearn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode", + "description": "GPT-5.6 Terra Pro is the same underlying model as [GPT-5.6 Terra](https://openrouter.ai/openai/gpt-5.6-terra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...", "context_length": 1050000, "architecture": { "modality": "text+image+file->text", @@ -25828,7 +25954,7 @@ "hugging_face_id": null, "name": "OpenAI: GPT-5.6 Terra Pro (batch)", "created": 1783590861, - "description": "GPT-5.6 Terra Pro is the same underlying model as [GPT-5.6 Terra](https://openrouter.ai/openai/gpt-5.6-terra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks.\n\nLearn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode", + "description": "GPT-5.6 Terra Pro is the same underlying model as [GPT-5.6 Terra](https://openrouter.ai/openai/gpt-5.6-terra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...", "context_length": 1050000, "architecture": { "modality": "text+image+file->text", @@ -26041,7 +26167,7 @@ "hugging_face_id": null, "name": "OpenAI: GPT-6 Astra Pro", "created": 1788552835, - "description": "GPT-6 Astra Pro is the same underlying model as [GPT-6 Astra](https://openrouter.ai/openai/gpt-6-astra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks.\n\nLearn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode", + "description": "GPT-6 Astra Pro is the same underlying model as [GPT-6 Astra](https://openrouter.ai/openai/gpt-6-astra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...", "context_length": 1050000, "architecture": { "modality": "text+image+file->text", @@ -26104,7 +26230,7 @@ "hugging_face_id": null, "name": "OpenAI: GPT-6 Astra Pro (batch)", "created": 1788552835, - "description": "GPT-6 Astra Pro is the same underlying model as [GPT-6 Astra](https://openrouter.ai/openai/gpt-6-astra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks.\n\nLearn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode", + "description": "GPT-6 Astra Pro is the same underlying model as [GPT-6 Astra](https://openrouter.ai/openai/gpt-6-astra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...", "context_length": 1050000, "architecture": { "modality": "text+image+file->text", @@ -26208,35 +26334,329 @@ "tool_choice", "tools" ], - "default_parameters": {}, + "default_parameters": {}, + "supported_voices": null, + "knowledge_cutoff": null, + "expiration_date": null, + "links": { + "details": "/api/v1/models/openai/gpt-6-astra-20260903/endpoints" + }, + "benchmarks": { + "design_arena": [], + "artificial_analysis": { + "intelligence_index": 52.7, + "coding_index": 76.9, + "agentic_index": 51 + } + }, + "reasoning": { + "mandatory": true, + "default_enabled": true, + "supported_efforts": ["max", "xhigh", "high", "medium", "low"], + "default_effort": "medium" + } + }, + { + "id": "openai/gpt-6-luna", + "canonical_slug": "openai/gpt-6-luna-20260922", + "hugging_face_id": null, + "name": "OpenAI: GPT-6 Luna", + "created": 1790100786, + "description": "GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic...", + "context_length": 1050000, + "architecture": { + "modality": "text+image+file->text", + "input_modalities": ["file", "image", "text"], + "output_modalities": ["text"], + "tokenizer": "GPT", + "instruct_type": null + }, + "pricing": { + "prompt": "0.0000001", + "completion": "0.0000005", + "web_search": "0.01", + "input_cache_read": "0.00000001", + "input_cache_write": "0.000000125", + "overrides": [ + { + "min_prompt_tokens": 272000, + "prompt": "0.0000002", + "completion": "0.00000075", + "input_cache_read": "0.00000002", + "input_cache_write": "0.00000025" + } + ] + }, + "top_provider": { + "context_length": 1050000, + "max_completion_tokens": 128000, + "is_moderated": true + }, + "per_request_limits": null, + "supported_parameters": [ + "include_reasoning", + "max_completion_tokens", + "max_tokens", + "reasoning", + "reasoning_effort", + "response_format", + 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Luna](https://openrouter.ai/openai/gpt-6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...", + "context_length": 1050000, + "architecture": { + "modality": "text+image+file->text", + "input_modalities": ["file", "image", "text"], + "output_modalities": ["text"], + "tokenizer": "GPT", + "instruct_type": null + }, + "pricing": { + "prompt": "0.0000001", + "completion": "0.0000005", + "web_search": "0.01", + "input_cache_read": "0.00000001", + "input_cache_write": "0.000000125", + "overrides": [ + { + "min_prompt_tokens": 272000, + "prompt": "0.0000002", + "completion": "0.00000075", + "input_cache_read": "0.00000002", + "input_cache_write": "0.00000025" + } + ] + }, + "top_provider": { + "context_length": 1050000, + "max_completion_tokens": 128000, + "is_moderated": true + }, + "per_request_limits": null, + "supported_parameters": [ + "include_reasoning", + "max_completion_tokens", + "max_tokens", + 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for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...", + "context_length": 1050000, + "architecture": { + "modality": "text+image+file->text", + "input_modalities": ["file", "image", "text"], + "output_modalities": ["text"], + "tokenizer": "GPT", + "instruct_type": null + }, + "pricing": { + "prompt": "0.00000005", + "completion": "0.00000025", + "web_search": "0.01", + "input_cache_read": "0.000000005", + "input_cache_write": "0.0000000625", + "overrides": [ + { + "min_prompt_tokens": 272000, + "prompt": "0.0000001", + "completion": "0.000000375", + "input_cache_read": "0.00000001", + "input_cache_write": "0.000000125" + } + ] + }, + "top_provider": { + "context_length": 1050000, + "max_completion_tokens": 128000, + "is_moderated": true + }, + "per_request_limits": null, + "supported_parameters": [ + "include_reasoning", + "max_tokens", + "reasoning", + "reasoning_effort", + "response_format", + "seed", + "structured_outputs", + "tool_choice", + 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It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic...", + "context_length": 1050000, + "architecture": { + "modality": "text+image+file->text", + "input_modalities": ["file", "image", "text"], + "output_modalities": ["text"], + "tokenizer": "GPT", + "instruct_type": null + }, + "pricing": { + "prompt": "0.00000005", + "completion": "0.00000025", + "web_search": "0.01", + "input_cache_read": "0.000000005", + "input_cache_write": "0.0000000625", + "overrides": [ + { + "min_prompt_tokens": 272000, + "prompt": "0.0000001", + "completion": "0.000000375", + "input_cache_read": "0.00000001", + "input_cache_write": "0.000000125" + } + ] + }, + "top_provider": { + "context_length": 1050000, + "max_completion_tokens": 128000, + "is_moderated": true + }, + "per_request_limits": null, + "supported_parameters": [ + "include_reasoning", + "max_tokens", + "reasoning", + "reasoning_effort", + "response_format", + "seed", + "structured_outputs", + "tool_choice", + "tools" + ], + "default_parameters": { + "temperature": null, + "top_p": null, + "top_k": null, + "frequency_penalty": null, + "presence_penalty": null, + "repetition_penalty": null + }, "supported_voices": null, "knowledge_cutoff": null, "expiration_date": null, "links": { - "details": "/api/v1/models/openai/gpt-6-astra-20260903/endpoints" + "details": "/api/v1/models/openai/gpt-6-luna-20260922/endpoints" }, "benchmarks": { "design_arena": [], "artificial_analysis": { - "intelligence_index": 52.7, - "coding_index": 76.9, - "agentic_index": 51 + "intelligence_index": 37.3, + "coding_index": null, + "agentic_index": null } }, "reasoning": { - "mandatory": true, + "mandatory": false, "default_enabled": true, - "supported_efforts": ["max", "xhigh", "high", "medium", "low"], + "supported_efforts": ["max", "xhigh", "high", "medium", "low", "none"], "default_effort": "medium" } }, { - "id": "openai/gpt-6-luna", - "canonical_slug": "openai/gpt-6-luna-20260922", + "id": "openai/gpt-6-sol", + "canonical_slug": "openai/gpt-6-sol-20260922", "hugging_face_id": null, - "name": "OpenAI: GPT-6 Luna", - "created": 1790100786, - "description": "GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic...", + "name": "OpenAI: GPT-6 Sol", + "created": 1790100775, + "description": "GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional...", "context_length": 1050000, "architecture": { "modality": "text+image+file->text", @@ -26246,18 +26666,18 @@ "instruct_type": null }, "pricing": { - "prompt": "0.0000001", - "completion": "0.0000005", + "prompt": "0.000002", + "completion": "0.00001", "web_search": "0.01", - "input_cache_read": "0.00000001", - "input_cache_write": "0.000000125", + "input_cache_read": "0.0000002", + "input_cache_write": "0.0000025", "overrides": [ { "min_prompt_tokens": 272000, - "prompt": "0.0000002", - "completion": "0.00000075", - "input_cache_read": "0.00000002", - "input_cache_write": "0.00000025" + "prompt": "0.000004", + "completion": "0.000015", + "input_cache_read": "0.0000004", + "input_cache_write": "0.000005" } ] }, @@ -26291,12 +26711,12 @@ "knowledge_cutoff": null, "expiration_date": null, "links": { - "details": "/api/v1/models/openai/gpt-6-luna-20260922/endpoints" + "details": "/api/v1/models/openai/gpt-6-sol-20260922/endpoints" }, "benchmarks": { "design_arena": [], "artificial_analysis": { - "intelligence_index": 37.3, + "intelligence_index": 47.5, "coding_index": null, "agentic_index": null } @@ -26309,12 +26729,12 @@ } }, { - "id": "openai/gpt-6-luna-pro", - "canonical_slug": "openai/gpt-6-luna-pro-20260922", + "id": "openai/gpt-6-sol-pro", + "canonical_slug": "openai/gpt-6-sol-pro-20260922", "hugging_face_id": null, - "name": "OpenAI: GPT-6 Luna Pro", - "created": 1790100791, - "description": "GPT-6 Luna Pro is the same underlying model as [GPT-6 Luna](https://openrouter.ai/openai/gpt-6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks.\n\nLearn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode", + "name": "OpenAI: GPT-6 Sol Pro", + "created": 1790100781, + "description": "GPT-6 Sol Pro is the same underlying model as [GPT-6 Sol](https://openrouter.ai/openai/gpt-6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...", "context_length": 1050000, "architecture": { "modality": "text+image+file->text", @@ -26324,18 +26744,18 @@ "instruct_type": null }, "pricing": { - "prompt": "0.0000001", - "completion": "0.0000005", + "prompt": "0.000002", + "completion": "0.00001", "web_search": "0.01", - "input_cache_read": "0.00000001", - "input_cache_write": "0.000000125", + "input_cache_read": "0.0000002", + "input_cache_write": "0.0000025", "overrides": [ { "min_prompt_tokens": 272000, - "prompt": "0.0000002", - "completion": "0.00000075", - "input_cache_read": "0.00000002", - "input_cache_write": "0.00000025" + "prompt": "0.000004", + "completion": "0.000015", + "input_cache_read": "0.0000004", + "input_cache_write": "0.000005" } ] }, @@ -26369,7 +26789,7 @@ "knowledge_cutoff": null, "expiration_date": null, "links": { - "details": "/api/v1/models/openai/gpt-6-luna-pro-20260922/endpoints" + "details": "/api/v1/models/openai/gpt-6-sol-pro-20260922/endpoints" }, "reasoning": { "mandatory": false, @@ -26379,12 +26799,12 @@ } }, { - "id": "openai/gpt-6-luna-pro:batch", - "canonical_slug": "openai/gpt-6-luna-pro-20260922", + "id": "openai/gpt-6-sol-pro:batch", + "canonical_slug": "openai/gpt-6-sol-pro-20260922", "hugging_face_id": null, - "name": "OpenAI: GPT-6 Luna Pro (batch)", - "created": 1790100791, - "description": "GPT-6 Luna Pro is the same underlying model as [GPT-6 Luna](https://openrouter.ai/openai/gpt-6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks.\n\nLearn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode", + "name": "OpenAI: GPT-6 Sol Pro (batch)", + "created": 1790100781, + "description": "GPT-6 Sol Pro is the same underlying model as [GPT-6 Sol](https://openrouter.ai/openai/gpt-6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...", "context_length": 1050000, "architecture": { "modality": "text+image+file->text", @@ -26394,18 +26814,18 @@ "instruct_type": null }, "pricing": { - "prompt": "0.00000005", - "completion": "0.00000025", + "prompt": "0.000001", + "completion": "0.000005", "web_search": "0.01", - "input_cache_read": "0.000000005", - "input_cache_write": "0.0000000625", + "input_cache_read": "0.0000001", + "input_cache_write": "0.00000125", "overrides": [ { "min_prompt_tokens": 272000, - "prompt": "0.0000001", - "completion": "0.000000375", - "input_cache_read": "0.00000001", - "input_cache_write": "0.000000125" + "prompt": "0.000002", + "completion": "0.0000075", + "input_cache_read": "0.0000002", + "input_cache_write": "0.0000025" } ] }, @@ -26438,7 +26858,7 @@ "knowledge_cutoff": null, "expiration_date": null, "links": { - "details": "/api/v1/models/openai/gpt-6-luna-pro-20260922/endpoints" + "details": "/api/v1/models/openai/gpt-6-sol-pro-20260922/endpoints" }, "reasoning": { "mandatory": false, @@ -26448,12 +26868,12 @@ } }, { - "id": "openai/gpt-6-luna:batch", - "canonical_slug": "openai/gpt-6-luna-20260922", + "id": "openai/gpt-6-sol:batch", + "canonical_slug": "openai/gpt-6-sol-20260922", "hugging_face_id": null, - "name": "OpenAI: GPT-6 Luna (batch)", - "created": 1790100786, - "description": "GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic...", + "name": "OpenAI: GPT-6 Sol (batch)", + "created": 1790100775, + "description": "GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional...", "context_length": 1050000, "architecture": { "modality": "text+image+file->text", @@ -26463,18 +26883,18 @@ "instruct_type": null }, "pricing": { - "prompt": "0.00000005", - "completion": "0.00000025", + "prompt": "0.000001", + "completion": "0.000005", "web_search": "0.01", - "input_cache_read": "0.000000005", - "input_cache_write": "0.0000000625", + "input_cache_read": "0.0000001", + "input_cache_write": "0.00000125", "overrides": [ { "min_prompt_tokens": 272000, - "prompt": "0.0000001", - "completion": "0.000000375", - "input_cache_read": "0.00000001", - "input_cache_write": "0.000000125" + "prompt": "0.000002", + "completion": "0.0000075", + "input_cache_read": "0.0000002", + "input_cache_write": "0.0000025" } ] }, @@ -26507,12 +26927,12 @@ "knowledge_cutoff": null, "expiration_date": null, "links": { - "details": "/api/v1/models/openai/gpt-6-luna-20260922/endpoints" + "details": "/api/v1/models/openai/gpt-6-sol-20260922/endpoints" }, "benchmarks": { "design_arena": [], "artificial_analysis": { - "intelligence_index": 37.3, + "intelligence_index": 47.5, "coding_index": null, "agentic_index": null } @@ -26525,12 +26945,12 @@ } }, { - "id": "openai/gpt-6-sol", - "canonical_slug": "openai/gpt-6-sol-20260922", + "id": "openai/gpt-6.1-sol", + "canonical_slug": "openai/gpt-6.1-sol-20260929", "hugging_face_id": null, - "name": "OpenAI: GPT-6 Sol", - "created": 1790100775, - "description": "GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional...", + "name": "OpenAI: GPT-6.1 Sol", + "created": 1790702882, + "description": "GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional...", "context_length": 1050000, "architecture": { "modality": "text+image+file->text", @@ -26543,14 +26963,14 @@ "prompt": "0.000002", "completion": "0.00001", "web_search": "0.01", - "input_cache_read": "0.0000002", + "input_cache_read": "0.0000001", "input_cache_write": "0.0000025", "overrides": [ { "min_prompt_tokens": 272000, "prompt": "0.000004", "completion": "0.000015", - "input_cache_read": "0.0000004", + "input_cache_read": "0.0000002", "input_cache_write": "0.000005" } ] @@ -26573,42 +26993,35 @@ "tool_choice", "tools" ], - "default_parameters": { - "temperature": null, - "top_p": null, - "top_k": null, - "frequency_penalty": null, - "presence_penalty": null, - "repetition_penalty": null - }, + "default_parameters": {}, "supported_voices": null, "knowledge_cutoff": null, "expiration_date": null, "links": { - "details": "/api/v1/models/openai/gpt-6-sol-20260922/endpoints" + "details": "/api/v1/models/openai/gpt-6.1-sol-20260929/endpoints" }, "benchmarks": { "design_arena": [], "artificial_analysis": { - "intelligence_index": 47.5, + "intelligence_index": 51.8, "coding_index": null, "agentic_index": null } }, "reasoning": { - "mandatory": false, + "mandatory": true, "default_enabled": true, - "supported_efforts": ["max", "xhigh", "high", "medium", "low", "none"], + "supported_efforts": ["max", "xhigh", "high", "medium", "low"], "default_effort": "medium" } }, { - "id": "openai/gpt-6-sol-pro", - "canonical_slug": "openai/gpt-6-sol-pro-20260922", + "id": "openai/gpt-6.1-sol-pro", + "canonical_slug": "openai/gpt-6.1-sol-pro-20260929", "hugging_face_id": null, - "name": "OpenAI: GPT-6 Sol Pro", - "created": 1790100781, - "description": "GPT-6 Sol Pro is the same underlying model as [GPT-6 Sol](https://openrouter.ai/openai/gpt-6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks.\n\nLearn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode", + "name": "OpenAI: GPT-6.1 Sol Pro", + "created": 1790702886, + "description": "GPT-6.1 Sol Pro is the same underlying model as [GPT-6.1 Sol](https://openrouter.ai/openai/gpt-6.1-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...", "context_length": 1050000, "architecture": { "modality": "text+image+file->text", @@ -26621,14 +27034,14 @@ "prompt": "0.000002", "completion": "0.00001", "web_search": "0.01", - "input_cache_read": "0.0000002", + "input_cache_read": "0.0000001", "input_cache_write": "0.0000025", "overrides": [ { "min_prompt_tokens": 272000, "prompt": "0.000004", "completion": "0.000015", - "input_cache_read": "0.0000004", + "input_cache_read": "0.0000002", "input_cache_write": "0.000005" } ] @@ -26663,22 +27076,22 @@ "knowledge_cutoff": null, "expiration_date": null, "links": { - "details": "/api/v1/models/openai/gpt-6-sol-pro-20260922/endpoints" + "details": "/api/v1/models/openai/gpt-6.1-sol-pro-20260929/endpoints" }, "reasoning": { - "mandatory": false, + "mandatory": true, "default_enabled": true, - "supported_efforts": ["max", "xhigh", "high", "medium", "low", "none"], + "supported_efforts": ["max", "xhigh", "high", "medium", "low"], "default_effort": "medium" } }, { - "id": "openai/gpt-6-sol-pro:batch", - "canonical_slug": "openai/gpt-6-sol-pro-20260922", + "id": "openai/gpt-6.1-sol-pro:batch", + "canonical_slug": "openai/gpt-6.1-sol-pro-20260929", "hugging_face_id": null, - "name": "OpenAI: GPT-6 Sol Pro (batch)", - "created": 1790100781, - "description": "GPT-6 Sol Pro is the same underlying model as [GPT-6 Sol](https://openrouter.ai/openai/gpt-6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks.\n\nLearn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode", + "name": "OpenAI: GPT-6.1 Sol Pro (batch)", + "created": 1790702886, + "description": "GPT-6.1 Sol Pro is the same underlying model as [GPT-6.1 Sol](https://openrouter.ai/openai/gpt-6.1-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...", "context_length": 1050000, "architecture": { "modality": "text+image+file->text", @@ -26691,14 +27104,14 @@ "prompt": "0.000001", "completion": "0.000005", "web_search": "0.01", - "input_cache_read": "0.0000001", + "input_cache_read": "0.00000005", "input_cache_write": "0.00000125", "overrides": [ { "min_prompt_tokens": 272000, "prompt": "0.000002", "completion": "0.0000075", - "input_cache_read": "0.0000002", + "input_cache_read": "0.0000001", "input_cache_write": "0.0000025" } ] @@ -26732,22 +27145,22 @@ "knowledge_cutoff": null, "expiration_date": null, "links": { - "details": "/api/v1/models/openai/gpt-6-sol-pro-20260922/endpoints" + "details": "/api/v1/models/openai/gpt-6.1-sol-pro-20260929/endpoints" }, "reasoning": { - "mandatory": false, + "mandatory": true, "default_enabled": true, - "supported_efforts": ["max", "xhigh", "high", "medium", "low", "none"], + "supported_efforts": ["max", "xhigh", "high", "medium", "low"], "default_effort": "medium" } }, { - "id": "openai/gpt-6-sol:batch", - "canonical_slug": "openai/gpt-6-sol-20260922", + "id": "openai/gpt-6.1-sol:batch", + "canonical_slug": "openai/gpt-6.1-sol-20260929", "hugging_face_id": null, - "name": "OpenAI: GPT-6 Sol (batch)", - "created": 1790100775, - "description": "GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional...", + "name": "OpenAI: GPT-6.1 Sol (batch)", + "created": 1790702882, + "description": "GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional...", "context_length": 1050000, "architecture": { "modality": "text+image+file->text", @@ -26760,14 +27173,14 @@ "prompt": "0.000001", "completion": "0.000005", "web_search": "0.01", - "input_cache_read": "0.0000001", + "input_cache_read": "0.00000005", "input_cache_write": "0.00000125", "overrides": [ { "min_prompt_tokens": 272000, "prompt": "0.000002", "completion": "0.0000075", - "input_cache_read": "0.0000002", + "input_cache_read": "0.0000001", "input_cache_write": "0.0000025" } ] @@ -26789,32 +27202,25 @@ "tool_choice", "tools" ], - "default_parameters": { - "temperature": null, - "top_p": null, - "top_k": null, - "frequency_penalty": null, - "presence_penalty": null, - "repetition_penalty": null - }, + "default_parameters": {}, "supported_voices": null, "knowledge_cutoff": null, "expiration_date": null, "links": { - "details": "/api/v1/models/openai/gpt-6-sol-20260922/endpoints" + "details": "/api/v1/models/openai/gpt-6.1-sol-20260929/endpoints" }, "benchmarks": { "design_arena": [], "artificial_analysis": { - "intelligence_index": 47.5, + "intelligence_index": 51.8, "coding_index": null, "agentic_index": null } }, "reasoning": { - "mandatory": false, + "mandatory": true, "default_enabled": true, - "supported_efforts": ["max", "xhigh", "high", "medium", "low", "none"], + "supported_efforts": ["max", "xhigh", "high", "medium", "low"], "default_effort": "medium" } }, @@ -26997,13 +27403,12 @@ "instruct_type": null }, "pricing": { - "prompt": "0.00000015", - "completion": "0.0000006", - "input_cache_read": "0.000000075" + "prompt": "0.000000037", + "completion": "0.00000017" }, "top_provider": { "context_length": 131072, - "max_completion_tokens": 65536, + "max_completion_tokens": 117964, "is_moderated": false }, "per_request_limits": null, @@ -27046,9 +27451,9 @@ { "arena": "models", "category": "3d", - "elo": 928, + "elo": 919, "win_rate": 29.4, - "rank": 110 + "rank": 111 }, { "arena": "models", @@ -27060,30 +27465,30 @@ { "arena": "models", "category": "dataviz", - "elo": 997, + "elo": 996, "win_rate": 43.6, - "rank": 108 + "rank": 109 }, { "arena": "models", "category": "gamedev", - "elo": 1008, + "elo": 1005, "win_rate": 40.5, - "rank": 108 + "rank": 110 }, { "arena": "models", "category": "uicomponent", - "elo": 940, + "elo": 937, "win_rate": 35.7, - "rank": 113 + "rank": 114 }, { "arena": "models", "category": "website", - "elo": 976, + "elo": 975, "win_rate": 32.5, - "rank": 120 + "rank": 122 } ], "artificial_analysis": { @@ -27159,9 +27564,9 @@ { "arena": "models", "category": "3d", - "elo": 928, + "elo": 919, "win_rate": 29.4, - "rank": 110 + "rank": 111 }, { "arena": "models", @@ -27173,30 +27578,30 @@ { "arena": "models", "category": "dataviz", - "elo": 997, + "elo": 996, "win_rate": 43.6, - "rank": 108 + "rank": 109 }, { "arena": "models", "category": "gamedev", - "elo": 1008, + "elo": 1005, "win_rate": 40.5, - "rank": 108 + "rank": 110 }, { "arena": "models", "category": "uicomponent", - "elo": 940, + "elo": 937, "win_rate": 35.7, - "rank": 113 + "rank": 114 }, { "arena": "models", "category": "website", - "elo": 976, + "elo": 975, "win_rate": 32.5, - "rank": 120 + "rank": 122 } ], "artificial_analysis": { @@ -27228,7 +27633,8 @@ }, "pricing": { "prompt": "0.000000018", - "completion": "0.00000009" + "completion": "0.00000009", + "input_cache_read": "0.000000009" }, "top_provider": { "context_length": 131072, @@ -27274,16 +27680,16 @@ { "arena": "models", "category": "dataviz", - "elo": 942, + "elo": 941, "win_rate": 39.7, - "rank": 113 + "rank": 114 }, { "arena": "models", "category": "website", "elo": 860, "win_rate": 27.9, - "rank": 127 + "rank": 129 } ], "artificial_analysis": { @@ -27359,16 +27765,16 @@ { "arena": "models", "category": "dataviz", - "elo": 942, + "elo": 941, "win_rate": 39.7, - "rank": 113 + "rank": 114 }, { "arena": "models", "category": "website", "elo": 860, "win_rate": 27.9, - "rank": 127 + "rank": 129 } ], "artificial_analysis": { @@ -27599,28 +28005,28 @@ "category": "dataviz", "elo": 1200, "win_rate": 48.1, - "rank": 52 + "rank": 53 }, { "arena": "models", "category": "gamedev", - "elo": 1050, + "elo": 1047, "win_rate": 56.9, - "rank": 102 + "rank": 104 }, { "arena": "models", "category": "uicomponent", - "elo": 1030, + "elo": 1027, "win_rate": 53.3, - "rank": 103 + "rank": 104 }, { "arena": "models", "category": "website", "elo": 1044, "win_rate": 53.8, - "rank": 109 + "rank": 111 } ] }, @@ -27910,28 +28316,28 @@ "category": "dataviz", "elo": 1200, "win_rate": 48.1, - "rank": 52 + "rank": 53 }, { "arena": "models", "category": "gamedev", - "elo": 1050, + "elo": 1047, "win_rate": 56.9, - "rank": 102 + "rank": 104 }, { "arena": "models", "category": "uicomponent", - "elo": 1030, + "elo": 1027, "win_rate": 53.3, - "rank": 103 + "rank": 104 }, { "arena": "models", "category": "website", "elo": 1044, "win_rate": 53.8, - "rank": 109 + "rank": 111 } ] }, @@ -27988,9 +28394,9 @@ { "arena": "models", "category": "3d", - "elo": 879, + "elo": 872, "win_rate": 34, - "rank": 114 + "rank": 115 }, { "arena": "models", @@ -28002,30 +28408,30 @@ { "arena": "models", "category": "dataviz", - "elo": 1001, + "elo": 999, "win_rate": 50, - "rank": 107 + "rank": 108 }, { "arena": "models", "category": "gamedev", - "elo": 1018, + "elo": 1016, "win_rate": 50, - "rank": 106 + "rank": 108 }, { "arena": "models", "category": "uicomponent", - "elo": 997, + "elo": 993, "win_rate": 46.9, - "rank": 106 + "rank": 107 }, { "arena": "models", "category": "website", "elo": 993, "win_rate": 47.1, - "rank": 117 + "rank": 119 } ] }, @@ -28137,9 +28543,9 @@ { "arena": "models", "category": "3d", - "elo": 879, + "elo": 872, "win_rate": 34, - "rank": 114 + "rank": 115 }, { "arena": "models", @@ -28151,30 +28557,30 @@ { "arena": "models", "category": "dataviz", - "elo": 1001, + "elo": 999, "win_rate": 50, - "rank": 107 + "rank": 108 }, { "arena": "models", "category": "gamedev", - "elo": 1018, + "elo": 1016, "win_rate": 50, - "rank": 106 + "rank": 108 }, { "arena": "models", "category": "uicomponent", - "elo": 997, + "elo": 993, "win_rate": 46.9, - "rank": 106 + "rank": 107 }, { "arena": "models", "category": "website", "elo": 993, "win_rate": 47.1, - "rank": 117 + "rank": 119 } ] }, @@ -28236,6 +28642,58 @@ "mandatory": false } }, + { + "id": "perceptron/perceptron-mk1.5", + "canonical_slug": "perceptron/perceptron-mk1.5-20260925", + "hugging_face_id": null, + "name": "Perceptron: Perceptron Mk1.5", + "created": 1790352661, + "description": "Perceptron Mk1.5 is Perceptron's embodied reasoning model for physical agents. It accepts text, image, video, and audio input, and answers with text plus optional structured annotations: points, boxes, polygons, tracks,...", + "context_length": 36864, + "architecture": { + "modality": "text+image+audio+video->text", + "input_modalities": ["text", "image", "video", "audio"], + "output_modalities": ["text"], + "tokenizer": "Other", + "instruct_type": null + }, + "pricing": { + "prompt": "0.00000015", + "completion": "0.0000015" + }, + "top_provider": { + "context_length": 36864, + "max_completion_tokens": 8192, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "frequency_penalty", + "include_reasoning", + "max_tokens", + "presence_penalty", + "reasoning", + "reasoning_effort", + "structured_outputs", + "temperature", + "tool_choice", + "tools", + "top_k", + "top_p" + ], + "default_parameters": {}, + "supported_voices": null, + "knowledge_cutoff": null, + "expiration_date": null, + "links": { + "details": "/api/v1/models/perceptron/perceptron-mk1.5-20260925/endpoints" + }, + "reasoning": { + "mandatory": false, + "supported_efforts": ["high", "medium", "low", "minimal", "none"], + "default_effort": "high" + } + }, { "id": "perplexity/sonar", "canonical_slug": "perplexity/sonar", @@ -28671,7 +29129,8 @@ }, "pricing": { "prompt": "0.000000075", - "completion": "0.0000005" + "completion": "0.0000005", + "input_cache_read": "0.0000000375" }, "top_provider": { "context_length": 262144, @@ -28982,7 +29441,7 @@ }, "supported_voices": null, "knowledge_cutoff": "2025-03-31", - "expiration_date": null, + "expiration_date": "2026-10-09", "links": { "details": "/api/v1/models/qwen/qwen-plus-2025-07-28/endpoints" }, @@ -29148,7 +29607,7 @@ "default_parameters": {}, "supported_voices": null, "knowledge_cutoff": "2025-03-31", - "expiration_date": null, + "expiration_date": "2026-10-09", "links": { "details": "/api/v1/models/qwen/qwen3-235b-a22b-04-28/endpoints" }, @@ -29157,9 +29616,9 @@ { "arena": "models", "category": "3d", - "elo": 884, + "elo": 877, "win_rate": 24.5, - "rank": 113 + "rank": 114 }, { "arena": "models", @@ -29171,30 +29630,30 @@ { "arena": "models", "category": "dataviz", - "elo": 1006, + "elo": 1005, "win_rate": 40, - "rank": 106 + "rank": 107 }, { "arena": "models", "category": "gamedev", - "elo": 943, + "elo": 941, "win_rate": 32.9, - "rank": 118 + "rank": 120 }, { "arena": "models", "category": "uicomponent", - "elo": 973, + "elo": 969, "win_rate": 38.6, - "rank": 109 + "rank": 110 }, { "arena": "models", "category": "website", "elo": 1038, "win_rate": 40.4, - "rank": 111 + "rank": 114 } ] }, @@ -29259,44 +29718,44 @@ { "arena": "models", "category": "3d", - "elo": 1020, + "elo": 1012, "win_rate": 41.1, - "rank": 102 + "rank": 103 }, { "arena": "models", "category": "codecategories", - "elo": 1048, + "elo": 1047, "win_rate": 42.6, "rank": 104 }, { "arena": "models", "category": "dataviz", - "elo": 1080, + "elo": 1079, "win_rate": 49, - "rank": 96 + "rank": 97 }, { "arena": "models", "category": "gamedev", - "elo": 967, + "elo": 964, "win_rate": 35, - "rank": 115 + "rank": 117 }, { "arena": "models", "category": "uicomponent", - "elo": 979, + "elo": 975, "win_rate": 38.4, - "rank": 107 + "rank": 108 }, { "arena": "models", "category": "website", - "elo": 1066, + "elo": 1065, "win_rate": 43.6, - "rank": 103 + "rank": 105 } ] } @@ -29351,7 +29810,7 @@ }, "supported_voices": null, "knowledge_cutoff": "2025-06-30", - "expiration_date": null, + "expiration_date": "2026-10-09", "links": { "details": "/api/v1/models/qwen/qwen3-235b-a22b-thinking-2507/endpoints" }, @@ -29360,9 +29819,9 @@ { "arena": "models", "category": "3d", - "elo": 1023, + "elo": 1016, "win_rate": 40.4, - "rank": 101 + "rank": 102 }, { "arena": "models", @@ -29374,30 +29833,30 @@ { "arena": "models", "category": "dataviz", - "elo": 959, + "elo": 958, "win_rate": 32.6, - "rank": 111 + "rank": 112 }, { "arena": "models", "category": "gamedev", - "elo": 972, + "elo": 970, "win_rate": 34.2, - "rank": 114 + "rank": 116 }, { "arena": "models", "category": "uicomponent", - "elo": 958, + "elo": 955, "win_rate": 34, - "rank": 111 + "rank": 112 }, { "arena": "models", "category": "website", - "elo": 1061, + "elo": 1060, "win_rate": 42, - "rank": 105 + "rank": 107 } ], "artificial_analysis": { @@ -29426,12 +29885,12 @@ "instruct_type": "qwen3" }, "pricing": { - "prompt": "0.00000012", - "completion": "0.0000005" + "prompt": "0.00000013", + "completion": "0.00000052" }, "top_provider": { - "context_length": 40960, - "max_completion_tokens": 16384, + "context_length": 131072, + "max_completion_tokens": 8192, "is_moderated": false }, "per_request_limits": null, @@ -29461,7 +29920,7 @@ }, "supported_voices": null, "knowledge_cutoff": "2025-03-31", - "expiration_date": null, + "expiration_date": "2026-10-09", "links": { "details": "/api/v1/models/qwen/qwen3-30b-a3b-04-28/endpoints" }, @@ -29477,30 +29936,30 @@ { "arena": "models", "category": "dataviz", - "elo": 976, + "elo": 975, "win_rate": 39, - "rank": 110 + "rank": 111 }, { "arena": "models", "category": "gamedev", - "elo": 914, + "elo": 911, "win_rate": 33.9, - "rank": 121 + "rank": 123 }, { "arena": "models", "category": "uicomponent", - "elo": 959, + "elo": 956, "win_rate": 42.4, - "rank": 110 + "rank": 111 }, { "arena": "models", "category": "website", - "elo": 963, + "elo": 962, "win_rate": 37.7, - "rank": 122 + "rank": 124 } ] }, @@ -29525,12 +29984,12 @@ "instruct_type": null }, "pricing": { - "prompt": "0.0000001", - "completion": "0.0000003" + "prompt": "0.00000004815", + "completion": "0.00000019305" }, "top_provider": { - "context_length": 262144, - "max_completion_tokens": 235929, + "context_length": 128000, + "max_completion_tokens": 32000, "is_moderated": false }, "per_request_limits": null, @@ -29603,7 +30062,7 @@ "default_parameters": {}, "supported_voices": null, "knowledge_cutoff": "2025-06-30", - "expiration_date": null, + "expiration_date": "2026-10-09", "links": { "details": "/api/v1/models/qwen/qwen3-30b-a3b-thinking-2507/endpoints" }, @@ -29612,16 +30071,16 @@ { "arena": "models", "category": "dataviz", - "elo": 935, + "elo": 934, "win_rate": 33.3, - "rank": 116 + "rank": 117 }, { "arena": "models", "category": "website", "elo": 938, "win_rate": 35.5, - "rank": 123 + "rank": 125 } ], "artificial_analysis": { @@ -29747,7 +30206,7 @@ }, "supported_voices": null, "knowledge_cutoff": "2025-03-31", - "expiration_date": null, + "expiration_date": "2026-10-09", "links": { "details": "/api/v1/models/qwen/qwen3-8b-04-28/endpoints" }, @@ -29828,30 +30287,30 @@ { "arena": "models", "category": "dataviz", - "elo": 1092, + "elo": 1091, "win_rate": 54.9, - "rank": 95 + "rank": 96 }, { "arena": "models", "category": "gamedev", - "elo": 1114, + "elo": 1112, "win_rate": 58.7, - "rank": 81 + "rank": 83 }, { "arena": "models", "category": "uicomponent", - "elo": 1126, + "elo": 1123, "win_rate": 61.4, - "rank": 79 + "rank": 80 }, { "arena": "models", "category": "website", - "elo": 1167, + "elo": 1166, "win_rate": 61.7, - "rank": 75 + "rank": 77 } ] } @@ -29910,23 +30369,23 @@ { "arena": "models", "category": "dataviz", - "elo": 1093, + "elo": 1092, "win_rate": 54.7, - "rank": 94 + "rank": 95 }, { "arena": "models", "category": "uicomponent", - "elo": 1060, + "elo": 1056, "win_rate": 54.1, - "rank": 94 + "rank": 95 }, { "arena": "models", "category": "website", "elo": 1095, "win_rate": 57.1, - "rank": 98 + "rank": 100 } ] } @@ -30131,7 +30590,7 @@ }, "supported_voices": null, "knowledge_cutoff": "2025-06-30", - "expiration_date": null, + "expiration_date": "2026-10-09", "links": { "details": "/api/v1/models/qwen/qwen3-coder-plus/endpoints" } @@ -30202,7 +30661,7 @@ }, "supported_voices": null, "knowledge_cutoff": "2025-06-30", - "expiration_date": null, + "expiration_date": "2026-10-09", "links": { "details": "/api/v1/models/qwen/qwen3-max/endpoints" }, @@ -30211,16 +30670,16 @@ { "arena": "models", "category": "3d", - "elo": 1100, + "elo": 1092, "win_rate": 43.5, - "rank": 88 + "rank": 89 }, { "arena": "models", "category": "asciiart", - "elo": 1140, + "elo": 1142, "win_rate": 47.2, - "rank": 49 + "rank": 50 }, { "arena": "models", @@ -30232,37 +30691,37 @@ { "arena": "models", "category": "dataviz", - "elo": 1110, + "elo": 1109, "win_rate": 41.2, - "rank": 88 + "rank": 89 }, { "arena": "models", "category": "gamedev", - "elo": 1110, + "elo": 1107, "win_rate": 43.8, - "rank": 85 + "rank": 87 }, { "arena": "models", "category": "svg", - "elo": 1022, + "elo": 1009, "win_rate": 37.2, - "rank": 79 + "rank": 82 }, { "arena": "models", "category": "uicomponent", - "elo": 1092, + "elo": 1088, "win_rate": 40.2, - "rank": 90 + "rank": 92 }, { "arena": "models", "category": "website", "elo": 1127, "win_rate": 44.5, - "rank": 90 + "rank": 92 } ] }, @@ -30332,7 +30791,7 @@ }, "supported_voices": null, "knowledge_cutoff": null, - "expiration_date": null, + "expiration_date": "2026-10-09", "links": { "details": "/api/v1/models/qwen/qwen3-max-thinking-20260123/endpoints" }, @@ -30571,7 +31030,7 @@ }, "supported_voices": null, "knowledge_cutoff": "2025-03-31", - "expiration_date": null, + "expiration_date": "2026-10-09", "links": { "details": "/api/v1/models/qwen/qwen3-vl-235b-a22b-thinking/endpoints" }, @@ -30691,7 +31150,7 @@ }, "supported_voices": null, "knowledge_cutoff": "2025-03-31", - "expiration_date": null, + "expiration_date": "2026-10-09", "links": { "details": "/api/v1/models/qwen/qwen3-vl-30b-a3b-thinking/endpoints" }, @@ -30750,7 +31209,7 @@ }, "supported_voices": null, "knowledge_cutoff": null, - "expiration_date": null, + "expiration_date": "2026-10-09", "links": { "details": "/api/v1/models/qwen/qwen3-vl-32b-instruct/endpoints" } @@ -30805,7 +31264,7 @@ }, "supported_voices": null, "knowledge_cutoff": null, - "expiration_date": null, + "expiration_date": "2026-10-09", "links": { "details": "/api/v1/models/qwen/qwen3-vl-8b-instruct/endpoints" } @@ -30859,7 +31318,7 @@ }, "supported_voices": null, "knowledge_cutoff": null, - "expiration_date": null, + "expiration_date": "2026-10-09", "links": { "details": "/api/v1/models/qwen/qwen3-vl-8b-thinking/endpoints" }, @@ -31019,13 +31478,12 @@ "instruct_type": null }, "pricing": { - "prompt": "0.0000003125", - "completion": "0.00000125", - "input_cache_read": "0.00000015625" + "prompt": "0.0000001625", + "completion": "0.0000013" }, "top_provider": { - "context_length": 256000, - "max_completion_tokens": 16384, + "context_length": 262144, + "max_completion_tokens": 65536, "is_moderated": false }, "per_request_limits": null, @@ -31142,9 +31600,9 @@ { "arena": "models", "category": "3d", - "elo": 1188, + "elo": 1179, "win_rate": 56.7, - "rank": 53 + "rank": 54 }, { "arena": "models", @@ -31156,37 +31614,37 @@ { "arena": "models", "category": "dataviz", - "elo": 1186, + "elo": 1184, "win_rate": 53.2, - "rank": 58 + "rank": 59 }, { "arena": "models", "category": "gamedev", - "elo": 1156, + "elo": 1153, "win_rate": 50.2, - "rank": 65 + "rank": 67 }, { "arena": "models", "category": "svg", - "elo": 1150, + "elo": 1136, "win_rate": 56.1, - "rank": 45 + "rank": 50 }, { "arena": "models", "category": "uicomponent", - "elo": 1177, + "elo": 1173, "win_rate": 51.4, - "rank": 65 + "rank": 66 }, { "arena": "models", "category": "website", - "elo": 1199, + "elo": 1198, "win_rate": 52.5, - "rank": 57 + "rank": 59 } ], "artificial_analysis": { @@ -31262,9 +31720,9 @@ "benchmarks": { "design_arena": [], "artificial_analysis": { - "intelligence_index": null, + "intelligence_index": 11.2, "coding_index": 28.7, - "agentic_index": null + "agentic_index": 1.2 } }, "reasoning": { @@ -31393,58 +31851,58 @@ { "arena": "models", "category": "3d", - "elo": 1146, + "elo": 1137, "win_rate": 47.7, - "rank": 71 + "rank": 73 }, { "arena": "models", "category": "asciiart", - "elo": 1106, + "elo": 1108, "win_rate": 43.2, - "rank": 57 + "rank": 59 }, { "arena": "models", "category": "codecategories", "elo": 1176, - "win_rate": 48.5, + "win_rate": 48.4, "rank": 66 }, { "arena": "models", "category": "dataviz", - "elo": 1146, + "elo": 1145, "win_rate": 44.9, - "rank": 77 + "rank": 78 }, { "arena": "models", "category": "gamedev", - "elo": 1121, + "elo": 1118, "win_rate": 42.6, - "rank": 80 + "rank": 82 }, { "arena": "models", "category": "svg", - "elo": 1118, + "elo": 1106, "win_rate": 48.9, - "rank": 55 + "rank": 57 }, { "arena": "models", "category": "uicomponent", - "elo": 1192, + "elo": 1188, "win_rate": 52.2, - "rank": 57 + "rank": 58 }, { "arena": "models", "category": "website", "elo": 1195, "win_rate": 50, - "rank": 61 + "rank": 62 } ] }, @@ -31532,12 +31990,11 @@ }, "pricing": { "prompt": "0.00000032", - "completion": "0.0000027", - "input_cache_read": "0.00000015" + "completion": "0.0000032" }, "top_provider": { "context_length": 262144, - "max_completion_tokens": 262140, + "max_completion_tokens": 81920, "is_moderated": false }, "per_request_limits": null, @@ -31778,7 +32235,7 @@ "default_parameters": {}, "supported_voices": null, "knowledge_cutoff": null, - "expiration_date": null, + "expiration_date": "2026-10-09", "links": { "details": "/api/v1/models/qwen/qwen3.6-max-preview-20260420/endpoints" }, @@ -31858,58 +32315,58 @@ { "arena": "models", "category": "3d", - "elo": 1228, - "win_rate": 50.9, - "rank": 40 + "elo": 1220, + "win_rate": 50.8, + "rank": 41 }, { "arena": "models", "category": "asciiart", - "elo": 1130, - "win_rate": 42.4, - "rank": 52 + "elo": 1126, + "win_rate": 41.8, + "rank": 54 }, { "arena": "models", "category": "codecategories", - "elo": 1244, - "win_rate": 50.6, + "elo": 1245, + "win_rate": 50.5, "rank": 38 }, { "arena": "models", "category": "dataviz", - "elo": 1240, - "win_rate": 51, - "rank": 36 + "elo": 1239, + "win_rate": 51.1, + "rank": 37 }, { "arena": "models", "category": "gamedev", - "elo": 1227, - "win_rate": 49.5, - "rank": 39 + "elo": 1224, + "win_rate": 49.1, + "rank": 42 }, { "arena": "models", "category": "svg", - "elo": 1172, - "win_rate": 50.9, - "rank": 36 + "elo": 1160, + "win_rate": 50.7, + "rank": 39 }, { "arena": "models", "category": "uicomponent", - "elo": 1247, - "win_rate": 51.3, - "rank": 39 + "elo": 1243, + "win_rate": 51.1, + "rank": 40 }, { "arena": "models", "category": "website", "elo": 1248, "win_rate": 50.4, - "rank": 38 + "rank": 39 } ], "artificial_analysis": { @@ -32063,114 +32520,114 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1161, + "elo": 1163, "win_rate": 46.6, "rank": 18 }, { "arena": "agents", "category": "androidnative", - "elo": 1171, - "win_rate": 48.6, + "elo": 1175, + "win_rate": 49, "rank": 22 }, { "arena": "agents", "category": "fullstack", - "elo": 1188, - "win_rate": 47.9, + "elo": 1200, + "win_rate": 48, "rank": 20 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1186, + "elo": 1192, "win_rate": 55.7, "rank": 16 }, { "arena": "agents", "category": "htmlslides", - "elo": 1161, - "win_rate": 43.5, - "rank": 15 + "elo": 1156, + "win_rate": 45.3, + "rank": 16 }, { "arena": "agents", "category": "mobileapps", - "elo": 1178, - "win_rate": 45.2, - "rank": 25 + "elo": 1150, + "win_rate": 45.4, + "rank": 27 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1194, - "win_rate": 47.2, - "rank": 17 + "elo": 1206, + "win_rate": 50.7, + "rank": 14 }, { "arena": "agents", "category": "webapps", - "elo": 1215, - "win_rate": 49.6, + "elo": 1221, + "win_rate": 49.7, "rank": 17 }, { "arena": "models", "category": "3d", - "elo": 1293, - "win_rate": 55.1, - "rank": 19 + "elo": 1285, + "win_rate": 54.9, + "rank": 20 }, { "arena": "models", "category": "asciiart", - "elo": 1227, + "elo": 1229, "win_rate": 53.8, "rank": 18 }, { "arena": "models", "category": "codecategories", - "elo": 1284, - "win_rate": 54.7, - "rank": 21 + "elo": 1285, + "win_rate": 54.6, + "rank": 20 }, { "arena": "models", "category": "dataviz", - "elo": 1287, - "win_rate": 54.6, - "rank": 16 + "elo": 1285, + "win_rate": 54.5, + "rank": 17 }, { "arena": "models", "category": "gamedev", - "elo": 1283, - "win_rate": 54, - "rank": 19 + "elo": 1280, + "win_rate": 53.7, + "rank": 21 }, { "arena": "models", "category": "svg", - "elo": 1231, - "win_rate": 57.5, - "rank": 16 + "elo": 1217, + "win_rate": 56.1, + "rank": 20 }, { "arena": "models", "category": "uicomponent", - "elo": 1285, - "win_rate": 54.3, - "rank": 24 + "elo": 1281, + "win_rate": 54, + "rank": 25 }, { "arena": "models", "category": "website", - "elo": 1281, + "elo": 1282, "win_rate": 54.8, - "rank": 20 + "rank": 21 } ], "artificial_analysis": { @@ -32250,57 +32707,57 @@ { "arena": "models", "category": "3d", - "elo": 1265, + "elo": 1256, "win_rate": 48.5, - "rank": 29 + "rank": 30 }, { "arena": "models", "category": "asciiart", - "elo": 1145, - "win_rate": 41.3, - "rank": 47 + "elo": 1150, + "win_rate": 41.9, + "rank": 48 }, { "arena": "models", "category": "codecategories", "elo": 1277, - "win_rate": 50.5, - "rank": 24 + "win_rate": 50.6, + "rank": 25 }, { "arena": "models", "category": "dataviz", - "elo": 1286, - "win_rate": 51.3, - "rank": 17 + "elo": 1283, + "win_rate": 51.1, + "rank": 19 }, { "arena": "models", "category": "gamedev", "elo": 1274, - "win_rate": 49.7, + "win_rate": 49.8, "rank": 27 }, { "arena": "models", "category": "svg", - "elo": 1222, - "win_rate": 48.8, - "rank": 19 + "elo": 1214, + "win_rate": 48.1, + "rank": 22 }, { "arena": "models", "category": "uicomponent", - "elo": 1264, - "win_rate": 48.1, - "rank": 32 + "elo": 1268, + "win_rate": 49, + "rank": 31 }, { "arena": "models", "category": "website", - "elo": 1278, - "win_rate": 51.2, + "elo": 1279, + "win_rate": 51.1, "rank": 23 } ], @@ -33526,58 +33983,58 @@ { "arena": "models", "category": "3d", - "elo": 1154, + "elo": 1147, "win_rate": 40.9, - "rank": 66 + "rank": 67 }, { "arena": "models", "category": "asciiart", - "elo": 1160, - "win_rate": 44.6, - "rank": 39 + "elo": 1163, + "win_rate": 44.8, + "rank": 38 }, { "arena": "models", "category": "codecategories", - "elo": 1190, - "win_rate": 43, + "elo": 1191, + "win_rate": 42.8, "rank": 56 }, { "arena": "models", "category": "dataviz", - "elo": 1182, - "win_rate": 43.2, - "rank": 60 + "elo": 1180, + "win_rate": 43, + "rank": 61 }, { "arena": "models", "category": "gamedev", - "elo": 1174, - "win_rate": 39.3, - "rank": 61 + "elo": 1171, + "win_rate": 39, + "rank": 63 }, { "arena": "models", "category": "svg", - "elo": 1088, - "win_rate": 37.1, - "rank": 61 + "elo": 1077, + "win_rate": 37.2, + "rank": 65 }, { "arena": "models", "category": "uicomponent", - "elo": 1193, - "win_rate": 42.8, - "rank": 56 + "elo": 1190, + "win_rate": 42.6, + "rank": 57 }, { "arena": "models", "category": "website", "elo": 1203, - "win_rate": 44.5, - "rank": 55 + "win_rate": 44.3, + "rank": 56 } ], "artificial_analysis": { @@ -33842,9 +34299,9 @@ { "arena": "models", "category": "3d", - "elo": 1203, + "elo": 1194, "win_rate": 43.9, - "rank": 48 + "rank": 49 }, { "arena": "models", @@ -33856,30 +34313,30 @@ { "arena": "models", "category": "dataviz", - "elo": 1136, + "elo": 1135, "win_rate": 36.1, - "rank": 82 + "rank": 83 }, { "arena": "models", "category": "gamedev", - "elo": 1152, + "elo": 1149, "win_rate": 38.6, - "rank": 68 + "rank": 71 }, { "arena": "models", "category": "uicomponent", - "elo": 1177, + "elo": 1173, "win_rate": 40.2, - "rank": 64 + "rank": 65 }, { "arena": "models", "category": "website", "elo": 1190, "win_rate": 41.3, - "rank": 63 + "rank": 65 } ] }, @@ -33985,8 +34442,10 @@ "supported_parameters": [ "frequency_penalty", "include_reasoning", + "logit_bias", "max_completion_tokens", "max_tokens", + "min_p", "presence_penalty", "reasoning", "reasoning_effort", @@ -34174,7 +34633,7 @@ "name": "Thinking Machines: Inkling", "created": 1784325956, "description": "Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning, coding, agentic and tool-use systems,...", - "context_length": 1048576, + "context_length": 524288, "architecture": { "modality": "text+image+audio->text", "input_modalities": ["text", "image", "audio"], @@ -34230,58 +34689,58 @@ { "arena": "models", "category": "3d", - "elo": 1183, - "win_rate": 40.3, + "elo": 1178, + "win_rate": 40.5, "rank": 55 }, { "arena": "models", "category": "asciiart", - "elo": 1101, - "win_rate": 33.5, - "rank": 59 + "elo": 1103, + "win_rate": 33.9, + "rank": 61 }, { "arena": "models", "category": "codecategories", - "elo": 1211, - "win_rate": 42, + "elo": 1213, + "win_rate": 42.1, "rank": 49 }, { "arena": "models", "category": "dataviz", - "elo": 1177, - "win_rate": 38.2, - "rank": 64 + "elo": 1178, + "win_rate": 38.6, + "rank": 62 }, { "arena": "models", "category": "gamedev", "elo": 1176, - "win_rate": 37.5, - "rank": 60 + "win_rate": 37.8, + "rank": 61 }, { "arena": "models", "category": "svg", - "elo": 1123, - "win_rate": 34.7, - "rank": 53 + "elo": 1111, + "win_rate": 34.1, + "rank": 56 }, { "arena": "models", "category": "uicomponent", - "elo": 1212, - "win_rate": 41.6, - "rank": 49 + "elo": 1208, + "win_rate": 41.3, + "rank": 50 }, { "arena": "models", "category": "website", - "elo": 1227, - "win_rate": 44, - "rank": 48 + "elo": 1229, + "win_rate": 44.2, + "rank": 47 } ], "artificial_analysis": { @@ -34304,7 +34763,7 @@ "name": "Thinking Machines: Inkling Small", "created": 1785443117, "description": "Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more efficient member of...", - "context_length": 1048576, + "context_length": 524288, "architecture": { "modality": "text+image+audio->text", "input_modalities": ["text", "image", "audio"], @@ -34494,58 +34953,58 @@ { "arena": "models", "category": "3d", - "elo": 1183, - "win_rate": 40.3, + "elo": 1178, + "win_rate": 40.5, "rank": 55 }, { "arena": "models", "category": "asciiart", - "elo": 1101, - "win_rate": 33.5, - "rank": 59 + "elo": 1103, + "win_rate": 33.9, + "rank": 61 }, { "arena": "models", "category": "codecategories", - "elo": 1211, - "win_rate": 42, + "elo": 1213, + "win_rate": 42.1, "rank": 49 }, { "arena": "models", "category": "dataviz", - "elo": 1177, - "win_rate": 38.2, - "rank": 64 + "elo": 1178, + "win_rate": 38.6, + "rank": 62 }, { "arena": "models", "category": "gamedev", "elo": 1176, - "win_rate": 37.5, - "rank": 60 + "win_rate": 37.8, + "rank": 61 }, { "arena": "models", "category": "svg", - "elo": 1123, - "win_rate": 34.7, - "rank": 53 + "elo": 1111, + "win_rate": 34.1, + "rank": 56 }, { "arena": "models", "category": "uicomponent", - "elo": 1212, - "win_rate": 41.6, - "rank": 49 + "elo": 1208, + "win_rate": 41.3, + "rank": 50 }, { "arena": "models", "category": "website", - "elo": 1227, - "win_rate": 44, - "rank": 48 + "elo": 1229, + "win_rate": 44.2, + "rank": 47 } ], "artificial_analysis": { @@ -34589,6 +35048,7 @@ "per_request_limits": null, "supported_parameters": [ "max_tokens", + "response_format", "temperature", "tool_choice", "tools", @@ -34839,51 +35299,51 @@ { "arena": "agents", "category": "webapps", - "elo": 1112, - "win_rate": 30.2, + "elo": 1115, + "win_rate": 30.6, "rank": 34 }, { "arena": "models", "category": "3d", - "elo": 1206, + "elo": 1197, "win_rate": 46.4, - "rank": 47 + "rank": 48 }, { "arena": "models", "category": "codecategories", - "elo": 1192, + "elo": 1191, "win_rate": 39, "rank": 55 }, { "arena": "models", "category": "dataviz", - "elo": 1190, + "elo": 1188, "win_rate": 41.3, - "rank": 57 + "rank": 58 }, { "arena": "models", "category": "gamedev", - "elo": 1187, + "elo": 1184, "win_rate": 39.9, - "rank": 55 + "rank": 57 }, { "arena": "models", "category": "uicomponent", - "elo": 1164, + "elo": 1160, "win_rate": 35.5, - "rank": 67 + "rank": 68 }, { "arena": "models", "category": "website", "elo": 1184, "win_rate": 37.4, - "rank": 66 + "rank": 68 } ], "artificial_analysis": { @@ -35019,15 +35479,15 @@ { "arena": "agents", "category": "androidnative", - "elo": 1059, + "elo": 1062, "win_rate": 35, - "rank": 34 + "rank": 35 }, { "arena": "agents", "category": "fullstack", - "elo": 1050, - "win_rate": 41, + "elo": 1063, + "win_rate": 41.1, "rank": 34 }, { @@ -35042,77 +35502,77 @@ "category": "htmlslides", "elo": 1180, "win_rate": 45.7, - "rank": 12 + "rank": 13 }, { "arena": "agents", "category": "mobileapps", - "elo": 1119, + "elo": 1088, "win_rate": 45.4, - "rank": 37 + "rank": 41 }, { "arena": "agents", "category": "webapps", - "elo": 1150, + "elo": 1155, "win_rate": 49.7, "rank": 27 }, { "arena": "models", "category": "3d", - "elo": 1220, + "elo": 1211, "win_rate": 52.1, - "rank": 42 + "rank": 44 }, { "arena": "models", "category": "asciiart", - "elo": 1187, + "elo": 1189, "win_rate": 48.2, - "rank": 26 + "rank": 27 }, { "arena": "models", "category": "codecategories", "elo": 1230, - "win_rate": 51.8, + "win_rate": 51.7, "rank": 43 }, { "arena": "models", "category": "dataviz", - "elo": 1228, + "elo": 1227, "win_rate": 52, - "rank": 43 + "rank": 45 }, { "arena": "models", "category": "gamedev", - "elo": 1208, + "elo": 1206, "win_rate": 50.1, - "rank": 46 + "rank": 48 }, { "arena": "models", "category": "svg", - "elo": 1175, + "elo": 1163, "win_rate": 52.4, - "rank": 35 + "rank": 37 }, { "arena": "models", "category": "uicomponent", - "elo": 1213, + "elo": 1209, "win_rate": 48.9, - "rank": 48 + "rank": 49 }, { "arena": "models", "category": "website", "elo": 1237, "win_rate": 51.8, - "rank": 42 + "rank": 43 } ] }, @@ -35259,7 +35719,7 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1007, + "elo": 1009, "win_rate": 28.8, "rank": 24 }, @@ -35294,22 +35754,22 @@ { "arena": "agents", "category": "androidnative", - "elo": 974, - "win_rate": 22.6, - "rank": 36 + "elo": 978, + "win_rate": 22.7, + "rank": 37 }, { "arena": "agents", "category": "fullstack", - "elo": 1002, - "win_rate": 28.1, + "elo": 1015, + "win_rate": 28.2, "rank": 40 }, { "arena": "agents", "category": "godotgamedev", - "elo": 914, - "win_rate": 20.8, + "elo": 923, + "win_rate": 21.3, "rank": 36 }, { @@ -35322,9 +35782,9 @@ { "arena": "agents", "category": "mobileapps", - "elo": 1089, - "win_rate": 34.5, - "rank": 41 + "elo": 1060, + "win_rate": 34.4, + "rank": 43 }, { "arena": "agents", @@ -35343,65 +35803,65 @@ { "arena": "agents", "category": "webapps", - "elo": 1132, - "win_rate": 43.4, + "elo": 1138, + "win_rate": 43.6, "rank": 29 }, { "arena": "models", "category": "3d", - "elo": 1151, - "win_rate": 41.5, - "rank": 67 + "elo": 1143, + "win_rate": 41.3, + "rank": 69 }, { "arena": "models", "category": "asciiart", - "elo": 1148, - "win_rate": 44.6, - "rank": 46 + "elo": 1145, + "win_rate": 43.9, + "rank": 49 }, { "arena": "models", "category": "codecategories", "elo": 1196, - "win_rate": 44.6, + "win_rate": 44.3, "rank": 53 }, { "arena": "models", "category": "dataviz", - "elo": 1193, - "win_rate": 45.8, - "rank": 54 + "elo": 1190, + "win_rate": 45.4, + "rank": 57 }, { "arena": "models", "category": "gamedev", - "elo": 1189, - "win_rate": 44.4, - "rank": 53 + "elo": 1188, + "win_rate": 44.2, + "rank": 55 }, { "arena": "models", "category": "svg", - "elo": 1096, - "win_rate": 38.8, - "rank": 59 + "elo": 1081, + "win_rate": 38.1, + "rank": 63 }, { "arena": "models", "category": "uicomponent", - "elo": 1207, - "win_rate": 46, - "rank": 50 + "elo": 1203, + "win_rate": 45.6, + "rank": 52 }, { "arena": "models", "category": "website", "elo": 1203, - "win_rate": 44.9, - "rank": 54 + "win_rate": 44.7, + "rank": 55 } ], "artificial_analysis": { @@ -35486,7 +35946,7 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1007, + "elo": 1009, "win_rate": 28.8, "rank": 24 }, @@ -35521,22 +35981,22 @@ { "arena": "agents", "category": "androidnative", - "elo": 974, - "win_rate": 22.6, - "rank": 36 + "elo": 978, + "win_rate": 22.7, + "rank": 37 }, { "arena": "agents", "category": "fullstack", - "elo": 1002, - "win_rate": 28.1, + "elo": 1015, + "win_rate": 28.2, "rank": 40 }, { "arena": "agents", "category": "godotgamedev", - "elo": 914, - "win_rate": 20.8, + "elo": 923, + "win_rate": 21.3, "rank": 36 }, { @@ -35549,9 +36009,9 @@ { "arena": "agents", "category": "mobileapps", - "elo": 1089, - "win_rate": 34.5, - "rank": 41 + "elo": 1060, + "win_rate": 34.4, + "rank": 43 }, { "arena": "agents", @@ -35570,65 +36030,65 @@ { "arena": "agents", "category": "webapps", - "elo": 1132, - "win_rate": 43.4, + "elo": 1138, + "win_rate": 43.6, "rank": 29 }, { "arena": "models", "category": "3d", - "elo": 1151, - "win_rate": 41.5, - "rank": 67 + "elo": 1143, + "win_rate": 41.3, + "rank": 69 }, { "arena": "models", "category": "asciiart", - "elo": 1148, - "win_rate": 44.6, - "rank": 46 + "elo": 1145, + "win_rate": 43.9, + "rank": 49 }, { "arena": "models", "category": "codecategories", "elo": 1196, - "win_rate": 44.6, + "win_rate": 44.3, "rank": 53 }, { "arena": "models", "category": "dataviz", - "elo": 1193, - "win_rate": 45.8, - "rank": 54 + "elo": 1190, + "win_rate": 45.4, + "rank": 57 }, { "arena": "models", "category": "gamedev", - "elo": 1189, - "win_rate": 44.4, - "rank": 53 + "elo": 1188, + "win_rate": 44.2, + "rank": 55 }, { "arena": "models", "category": "svg", - "elo": 1096, - "win_rate": 38.8, - "rank": 59 + "elo": 1081, + "win_rate": 38.1, + "rank": 63 }, { "arena": "models", "category": "uicomponent", - "elo": 1207, - "win_rate": 46, - "rank": 50 + "elo": 1203, + "win_rate": 45.6, + "rank": 52 }, { "arena": "models", "category": "website", "elo": 1203, - "win_rate": 44.9, - "rank": 54 + "win_rate": 44.7, + "rank": 55 } ], "artificial_analysis": { @@ -35706,114 +36166,114 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1235, - "win_rate": 55.9, - "rank": 6 + "elo": 1238, + "win_rate": 56.3, + "rank": 5 }, { "arena": "agents", "category": "androidnative", - "elo": 1248, - "win_rate": 64, + "elo": 1251, + "win_rate": 64.1, "rank": 7 }, { "arena": "agents", "category": "fullstack", - "elo": 1246, - "win_rate": 61, - "rank": 9 + "elo": 1260, + "win_rate": 61.4, + "rank": 8 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1227, - "win_rate": 57.9, + "elo": 1234, + "win_rate": 58.3, "rank": 11 }, { "arena": "agents", "category": "htmlslides", - "elo": 1208, - "win_rate": 52.5, + "elo": 1209, + "win_rate": 55.1, "rank": 6 }, { "arena": "agents", "category": "mobileapps", - "elo": 1243, - "win_rate": 53.1, - "rank": 9 + "elo": 1219, + "win_rate": 53.4, + "rank": 12 }, { "arena": "agents", "category": "python-pptxslides", "elo": 1230, - "win_rate": 53.9, + "win_rate": 55, "rank": 12 }, { "arena": "agents", "category": "webapps", - "elo": 1221, - "win_rate": 53.5, + "elo": 1227, + "win_rate": 54, "rank": 16 }, { "arena": "models", "category": "3d", - "elo": 1285, - "win_rate": 50.6, - "rank": 22 + "elo": 1276, + "win_rate": 50.3, + "rank": 23 }, { "arena": "models", "category": "asciiart", - "elo": 1261, - "win_rate": 54, - "rank": 15 + "elo": 1264, + "win_rate": 54.3, + "rank": 16 }, { "arena": "models", "category": "codecategories", - "elo": 1286, - "win_rate": 51.3, - "rank": 17 + "elo": 1285, + "win_rate": 51.1, + "rank": 21 }, { "arena": "models", "category": "dataviz", - "elo": 1281, - "win_rate": 49.8, - "rank": 19 + "elo": 1278, + "win_rate": 49.7, + "rank": 20 }, { "arena": "models", "category": "gamedev", - "elo": 1281, - "win_rate": 49.7, - "rank": 20 + "elo": 1276, + "win_rate": 49.5, + "rank": 22 }, { "arena": "models", "category": "svg", - "elo": 1230, - "win_rate": 48.5, - "rank": 17 + "elo": 1221, + "win_rate": 49.4, + "rank": 18 }, { "arena": "models", "category": "uicomponent", - "elo": 1290, - "win_rate": 51.7, - "rank": 21 + "elo": 1288, + "win_rate": 51.6, + "rank": 22 }, { "arena": "models", "category": "website", "elo": 1290, - "win_rate": 53, - "rank": 17 + "win_rate": 52.9, + "rank": 18 } ], "artificial_analysis": { @@ -35893,107 +36353,107 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1210, - "win_rate": 47.2, - "rank": 9 + "elo": 1214, + "win_rate": 47.8, + "rank": 8 }, { "arena": "agents", "category": "androidnative", - "elo": 1302, - "win_rate": 61, + "elo": 1300, + "win_rate": 60.7, "rank": 1 }, { "arena": "agents", "category": "fullstack", - "elo": 1260, - "win_rate": 54.9, + "elo": 1272, + "win_rate": 55.3, "rank": 7 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1271, - "win_rate": 52.2, - "rank": 5 + "elo": 1289, + "win_rate": 53.9, + "rank": 4 }, { "arena": "agents", "category": "htmlslides", - "elo": 1253, - "win_rate": 60.3, - "rank": 3 + "elo": 1257, + "win_rate": 60.1, + "rank": 2 }, { "arena": "agents", "category": "mobileapps", - "elo": 1264, - "win_rate": 57.3, - "rank": 4 + "elo": 1236, + "win_rate": 56.6, + "rank": 6 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1242, + "elo": 1243, "win_rate": 52.7, "rank": 11 }, { "arena": "agents", "category": "webapps", - "elo": 1253, - "win_rate": 56.1, + "elo": 1259, + "win_rate": 56.4, "rank": 9 }, { "arena": "models", "category": "3d", - "elo": 1302, + "elo": 1295, "win_rate": 52.6, - "rank": 15 + "rank": 16 }, { "arena": "models", "category": "asciiart", - "elo": 1289, - "win_rate": 58.3, - "rank": 7 + "elo": 1286, + "win_rate": 57.7, + "rank": 8 }, { "arena": "models", "category": "codecategories", "elo": 1302, - "win_rate": 52.8, - "rank": 11 + "win_rate": 52.9, + "rank": 12 }, { "arena": "models", "category": "dataviz", - "elo": 1298, + "elo": 1296, "win_rate": 52, "rank": 13 }, { "arena": "models", "category": "gamedev", - "elo": 1311, - "win_rate": 54.4, - "rank": 12 + "elo": 1308, + "win_rate": 54.3, + "rank": 14 }, { "arena": "models", "category": "svg", - "elo": 1252, - "win_rate": 50.3, - "rank": 12 + "elo": 1243, + "win_rate": 49.7, + "rank": 15 }, { "arena": "models", "category": "uicomponent", "elo": 1302, - "win_rate": 53.4, - "rank": 16 + "win_rate": 53.5, + "rank": 15 }, { "arena": "models", @@ -36032,16 +36492,16 @@ "instruct_type": null }, "pricing": { - "prompt": "0.0000016", - "completion": "0.0000048", + "prompt": "0.000002", + "completion": "0.000006", "web_search": "0.005", - "input_cache_read": "0.0000004", + "input_cache_read": "0.0000005", "overrides": [ { "min_prompt_tokens": 200000, - "prompt": "0.0000032", - "completion": "0.0000096", - "input_cache_read": "0.0000008" + "prompt": "0.000004", + "completion": "0.000012", + "input_cache_read": "0.000001" } ] }, @@ -36077,7 +36537,22 @@ "details": "/api/v1/models/x-ai/grok-4.7-20260916/endpoints" }, "benchmarks": { - "design_arena": [], + "design_arena": [ + { + "arena": "models", + "category": "gamedev", + "elo": 1306, + "win_rate": 52.4, + "rank": 15 + }, + { + "arena": "models", + "category": "website", + "elo": 1223, + "win_rate": 42.1, + "rank": 50 + } + ], "artificial_analysis": { "intelligence_index": 46.4, "coding_index": null, @@ -36195,9 +36670,7 @@ "supported_parameters": [ "frequency_penalty", "include_reasoning", - "logit_bias", "max_tokens", - "min_p", "presence_penalty", "reasoning", "repetition_penalty", @@ -36230,58 +36703,58 @@ { "arena": "models", "category": "3d", - "elo": 1239, + "elo": 1232, "win_rate": 50.8, - "rank": 35 + "rank": 36 }, { "arena": "models", "category": "asciiart", - "elo": 1157, - "win_rate": 46.3, + "elo": 1158, + "win_rate": 45.7, "rank": 41 }, { "arena": "models", "category": "codecategories", - "elo": 1268, - "win_rate": 53.8, + "elo": 1269, + "win_rate": 53.6, "rank": 29 }, { "arena": "models", "category": "dataviz", - "elo": 1262, - "win_rate": 54.1, - "rank": 26 + "elo": 1260, + "win_rate": 53.8, + "rank": 27 }, { "arena": "models", "category": "gamedev", - "elo": 1260, - "win_rate": 53, - "rank": 30 + "elo": 1258, + "win_rate": 52.7, + "rank": 32 }, { "arena": "models", "category": "svg", - "elo": 1187, - "win_rate": 50.6, - "rank": 32 + "elo": 1175, + "win_rate": 50.5, + "rank": 35 }, { "arena": "models", "category": "uicomponent", - "elo": 1269, - "win_rate": 54, - "rank": 31 + "elo": 1266, + "win_rate": 53.9, + "rank": 33 }, { "arena": "models", "category": "website", - "elo": 1274, - "win_rate": 53.9, - "rank": 26 + "elo": 1273, + "win_rate": 53.8, + "rank": 29 } ], "artificial_analysis": { @@ -36323,10 +36796,8 @@ "supported_parameters": [ "frequency_penalty", "include_reasoning", - "logit_bias", "logprobs", "max_tokens", - "min_p", "presence_penalty", "reasoning", "repetition_penalty", @@ -36360,58 +36831,58 @@ { "arena": "models", "category": "3d", - "elo": 1276, - "win_rate": 55.1, - "rank": 24 + "elo": 1264, + "win_rate": 54.4, + "rank": 27 }, { "arena": "models", "category": "asciiart", - "elo": 1166, - "win_rate": 47, - "rank": 34 + "elo": 1162, + "win_rate": 46.1, + "rank": 39 }, { "arena": "models", "category": "codecategories", - "elo": 1279, - "win_rate": 52.6, - "rank": 23 + "elo": 1277, + "win_rate": 52.1, + "rank": 24 }, { "arena": "models", "category": "dataviz", - "elo": 1271, - "win_rate": 50.9, - "rank": 25 + "elo": 1269, + "win_rate": 50.7, + "rank": 26 }, { "arena": "models", "category": "gamedev", - "elo": 1277, - "win_rate": 54.2, - "rank": 22 + "elo": 1272, + "win_rate": 53.4, + "rank": 29 }, { "arena": "models", "category": "svg", - "elo": 1194, - "win_rate": 49.2, - "rank": 28 + "elo": 1179, + "win_rate": 48.6, + "rank": 33 }, { "arena": "models", "category": "uicomponent", - "elo": 1278, - "win_rate": 54, - "rank": 26 + "elo": 1270, + "win_rate": 53.1, + "rank": 29 }, { "arena": "models", "category": "website", - "elo": 1278, - "win_rate": 51.6, - "rank": 21 + "elo": 1276, + "win_rate": 51.2, + "rank": 26 } ], "artificial_analysis": { @@ -36480,6 +36951,14 @@ "links": { "details": "/api/v1/models/xiaomi/mimo-v2.6-flash-20260921/endpoints" }, + "benchmarks": { + "design_arena": [], + "artificial_analysis": { + "intelligence_index": 37.9, + "coding_index": null, + "agentic_index": null + } + }, "reasoning": { "mandatory": false } @@ -36491,7 +36970,7 @@ "name": "Xiaomi: MiMo-V2.6-Pro", "created": 1790021259, "description": "MiMo-V2.6-Pro is the flagship foundation model developed by Xiaomi. Built at a scale of over 1T parameters, it is designed to push the ceiling of capability for the most demanding...", - "context_length": 1048576, + "context_length": 1050000, "architecture": { "modality": "text+image+audio+video->text", "input_modalities": ["text", "image", "video", "audio"], @@ -36545,51 +37024,51 @@ { "arena": "agents", "category": "webapps", - "elo": 1297, - "win_rate": 58.4, + "elo": 1301, + "win_rate": 59.3, "rank": 4 }, { "arena": "models", "category": "3d", - "elo": 1347, - "win_rate": 58.8, - "rank": 7 + "elo": 1345, + "win_rate": 57.9, + "rank": 8 }, { "arena": "models", "category": "codecategories", - "elo": 1325, - "win_rate": 56.5, + "elo": 1327, + "win_rate": 55, "rank": 5 }, { "arena": "models", "category": "dataviz", - "elo": 1330, - "win_rate": 58.8, - "rank": 7 + "elo": 1332, + "win_rate": 59.1, + "rank": 8 }, { "arena": "models", "category": "gamedev", - "elo": 1301, - "win_rate": 53.1, - "rank": 14 + "elo": 1312, + "win_rate": 53.5, + "rank": 11 }, { "arena": "models", "category": "uicomponent", - "elo": 1356, - "win_rate": 60.2, - "rank": 4 + "elo": 1354, + "win_rate": 60.1, + "rank": 5 }, { "arena": "models", "category": "website", - "elo": 1326, - "win_rate": 57, - "rank": 3 + "elo": 1322, + "win_rate": 54, + "rank": 4 } ], "artificial_analysis": { @@ -36710,9 +37189,9 @@ { "arena": "models", "category": "3d", - "elo": 1196, + "elo": 1188, "win_rate": 59.7, - "rank": 50 + "rank": 52 }, { "arena": "models", @@ -36724,37 +37203,37 @@ { "arena": "models", "category": "dataviz", - "elo": 1169, + "elo": 1168, "win_rate": 53.3, - "rank": 69 + "rank": 70 }, { "arena": "models", "category": "gamedev", - "elo": 1160, + "elo": 1158, "win_rate": 54.4, - "rank": 64 + "rank": 65 }, { "arena": "models", "category": "svg", - "elo": 1107, + "elo": 1094, "win_rate": 50.8, - "rank": 57 + "rank": 60 }, { "arena": "models", "category": "uicomponent", - "elo": 1158, + "elo": 1154, "win_rate": 55, - "rank": 70 + "rank": 71 }, { "arena": "models", "category": "website", - "elo": 1178, + "elo": 1177, "win_rate": 53.7, - "rank": 69 + "rank": 71 } ] }, @@ -36819,51 +37298,51 @@ { "arena": "models", "category": "3d", - "elo": 1148, + "elo": 1141, "win_rate": 54.1, - "rank": 68 + "rank": 70 }, { "arena": "models", "category": "codecategories", - "elo": 1147, + "elo": 1146, "win_rate": 51.4, "rank": 81 }, { "arena": "models", "category": "dataviz", - "elo": 1197, + "elo": 1195, "win_rate": 58.5, - "rank": 53 + "rank": 54 }, { "arena": "models", "category": "gamedev", - "elo": 1110, + "elo": 1107, "win_rate": 48.4, - "rank": 84 + "rank": 86 }, { "arena": "models", "category": "svg", - "elo": 1082, + "elo": 1069, "win_rate": 50.8, - "rank": 64 + "rank": 67 }, { "arena": "models", "category": "uicomponent", - "elo": 1137, + "elo": 1133, "win_rate": 54.4, - "rank": 76 + "rank": 77 }, { "arena": "models", "category": "website", "elo": 1154, "win_rate": 51.3, - "rank": 80 + "rank": 82 } ] }, @@ -36992,14 +37471,14 @@ { "arena": "agents", "category": "androidnative", - "elo": 1099, + "elo": 1103, "win_rate": 52.6, "rank": 29 }, { "arena": "agents", "category": "fullstack", - "elo": 1025, + "elo": 1038, "win_rate": 42.3, "rank": 38 }, @@ -37013,16 +37492,16 @@ { "arena": "agents", "category": "mobileapps", - "elo": 1124, + "elo": 1094, "win_rate": 47.2, - "rank": 34 + "rank": 36 }, { "arena": "models", "category": "3d", - "elo": 1155, + "elo": 1147, "win_rate": 54.2, - "rank": 65 + "rank": 66 }, { "arena": "models", @@ -37034,37 +37513,37 @@ { "arena": "models", "category": "dataviz", - "elo": 1171, + "elo": 1170, "win_rate": 52.6, - "rank": 67 + "rank": 68 }, { "arena": "models", "category": "gamedev", - "elo": 1166, + "elo": 1164, "win_rate": 54.8, - "rank": 62 + "rank": 64 }, { "arena": "models", "category": "svg", - "elo": 1119, + "elo": 1105, "win_rate": 52.1, - "rank": 54 + "rank": 58 }, { "arena": "models", "category": "uicomponent", - "elo": 1162, + "elo": 1158, "win_rate": 52.5, - "rank": 69 + "rank": 70 }, { "arena": "models", "category": "website", "elo": 1182, "win_rate": 54.3, - "rank": 68 + "rank": 70 } ], "artificial_analysis": { @@ -37199,14 +37678,14 @@ { "arena": "agents", "category": "androidnative", - "elo": 1128, + "elo": 1132, "win_rate": 56.2, "rank": 27 }, { "arena": "agents", "category": "fullstack", - "elo": 1046, + "elo": 1058, "win_rate": 45.1, "rank": 36 }, @@ -37215,27 +37694,27 @@ "category": "godotgamedev", "elo": 1058, "win_rate": 35.8, - "rank": 33 + "rank": 34 }, { "arena": "agents", "category": "mobileapps", - "elo": 1133, + "elo": 1104, "win_rate": 48.9, - "rank": 32 + "rank": 35 }, { "arena": "models", "category": "3d", - "elo": 1217, + "elo": 1209, "win_rate": 54.3, - "rank": 44 + "rank": 45 }, { "arena": "models", "category": "asciiart", - "elo": 1177, - "win_rate": 48.1, + "elo": 1180, + "win_rate": 48.2, "rank": 30 }, { @@ -37248,37 +37727,37 @@ { "arena": "models", "category": "dataviz", - "elo": 1206, + "elo": 1205, "win_rate": 51.2, - "rank": 51 + "rank": 52 }, { "arena": "models", "category": "gamedev", - "elo": 1204, + "elo": 1201, "win_rate": 55.2, - "rank": 47 + "rank": 50 }, { "arena": "models", "category": "svg", - "elo": 1154, + "elo": 1141, "win_rate": 54.3, - "rank": 43 + "rank": 47 }, { "arena": "models", "category": "uicomponent", - "elo": 1213, + "elo": 1209, "win_rate": 51.1, - "rank": 47 + "rank": 48 }, { "arena": "models", "category": "website", - "elo": 1234, + "elo": 1233, "win_rate": 55.3, - "rank": 44 + "rank": 45 } ], "artificial_analysis": { @@ -37354,9 +37833,9 @@ { "arena": "models", "category": "3d", - "elo": 1146, + "elo": 1139, "win_rate": 51.2, - "rank": 69 + "rank": 71 }, { "arena": "models", @@ -37368,37 +37847,37 @@ { "arena": "models", "category": "dataviz", - "elo": 1134, + "elo": 1132, "win_rate": 45.3, - "rank": 84 + "rank": 85 }, { "arena": "models", "category": "gamedev", - "elo": 1150, + "elo": 1148, "win_rate": 49.7, - "rank": 70 + "rank": 72 }, { "arena": "models", "category": "svg", - "elo": 1048, + "elo": 1036, "win_rate": 44.2, - "rank": 70 + "rank": 74 }, { "arena": "models", "category": "uicomponent", - "elo": 1222, + "elo": 1218, "win_rate": 57.6, - "rank": 46 + "rank": 47 }, { "arena": "models", "category": "website", "elo": 1202, "win_rate": 54, - "rank": 56 + "rank": 58 } ] }, @@ -37468,14 +37947,14 @@ { "arena": "agents", "category": "androidnative", - "elo": 1161, + "elo": 1163, "win_rate": 55.1, "rank": 24 }, { "arena": "agents", "category": "fullstack", - "elo": 1119, + "elo": 1132, "win_rate": 51.7, "rank": 27 }, @@ -37489,30 +37968,30 @@ { "arena": "agents", "category": "htmlslides", - "elo": 1150, - "win_rate": 45.1, - "rank": 18 + "elo": 1146, + "win_rate": 44.7, + "rank": 19 }, { "arena": "agents", "category": "mobileapps", - "elo": 1165, + "elo": 1134, "win_rate": 51.6, - "rank": 30 + "rank": 32 }, { "arena": "models", "category": "3d", - "elo": 1255, + "elo": 1247, "win_rate": 56.3, - "rank": 32 + "rank": 33 }, { "arena": "models", "category": "asciiart", - "elo": 1160, + "elo": 1161, "win_rate": 47.9, - "rank": 38 + "rank": 40 }, { "arena": "models", @@ -37524,37 +38003,37 @@ { "arena": "models", "category": "dataviz", - "elo": 1239, + "elo": 1238, "win_rate": 53, - "rank": 37 + "rank": 38 }, { "arena": "models", "category": "gamedev", - "elo": 1250, + "elo": 1247, "win_rate": 57.4, - "rank": 32 + "rank": 34 }, { "arena": "models", "category": "svg", - "elo": 1179, + "elo": 1166, "win_rate": 54.4, - "rank": 33 + "rank": 36 }, { "arena": "models", "category": "uicomponent", - "elo": 1244, + "elo": 1240, "win_rate": 53.6, - "rank": 40 + "rank": 41 }, { "arena": "models", "category": "website", "elo": 1255, "win_rate": 55, - "rank": 36 + "rank": 37 } ] }, @@ -37619,49 +38098,49 @@ { "arena": "models", "category": "3d", - "elo": 1274, - "win_rate": 56.2, - "rank": 26 + "elo": 1267, + "win_rate": 56, + "rank": 25 }, { "arena": "models", "category": "asciiart", - "elo": 1169, - "win_rate": 49.3, + "elo": 1172, + "win_rate": 49.5, "rank": 33 }, { "arena": "models", "category": "codecategories", "elo": 1272, - "win_rate": 54.1, + "win_rate": 54, "rank": 27 }, { "arena": "models", "category": "dataviz", - "elo": 1274, + "elo": 1273, "win_rate": 55.1, - "rank": 20 + "rank": 23 }, { "arena": "models", "category": "gamedev", - "elo": 1261, - "win_rate": 53.3, - "rank": 29 + "elo": 1260, + "win_rate": 53.2, + "rank": 31 }, { "arena": "models", "category": "svg", - "elo": 1217, - "win_rate": 55.4, - "rank": 20 + "elo": 1205, + "win_rate": 55, + "rank": 23 }, { "arena": "models", "category": "uicomponent", - "elo": 1277, + "elo": 1274, "win_rate": 55.7, "rank": 27 }, @@ -37669,8 +38148,8 @@ "arena": "models", "category": "website", "elo": 1271, - "win_rate": 53.5, - "rank": 29 + "win_rate": 53.4, + "rank": 30 } ] }, @@ -37695,9 +38174,9 @@ "instruct_type": null }, "pricing": { - "prompt": "0.0000009646", - "completion": "0.0000030316", - "input_cache_read": "0.00000017914" + "prompt": "0.0000014", + "completion": "0.0000044", + "input_cache_read": "0.00000026" }, "top_provider": { "context_length": 202752, @@ -37747,62 +38226,62 @@ "category": "3d", "elo": 1336, "win_rate": 62.6, - "rank": 10 + "rank": 11 }, { "arena": "models", "category": "asciiart", - "elo": 1141, - "win_rate": 43.9, - "rank": 48 + "elo": 1153, + "win_rate": 44.6, + "rank": 46 }, { "arena": "models", "category": "codecategories", - "elo": 1275, + "elo": 1277, "win_rate": 53.4, - "rank": 25 + "rank": 23 }, { "arena": "models", "category": "dataviz", "elo": 1366, "win_rate": 67, - "rank": 1 + "rank": 2 }, { "arena": "models", "category": "gamedev", "elo": 1275, "win_rate": 55.6, - "rank": 26 + "rank": 24 }, { "arena": "models", "category": "svg", - "elo": 1228, - "win_rate": 56.2, - "rank": 18 + "elo": 1215, + "win_rate": 55.8, + "rank": 21 }, { "arena": "models", "category": "uicomponent", "elo": 1292, "win_rate": 54.9, - "rank": 20 + "rank": 19 }, { "arena": "models", "category": "website", "elo": 1290, "win_rate": 55.1, - "rank": 16 + "rank": 17 }, { "arena": "agents", "category": "agenticgamedev", - "elo": 1165, - "win_rate": 49.8, + "elo": 1168, + "win_rate": 50.1, "rank": 17 }, { @@ -37836,37 +38315,37 @@ { "arena": "agents", "category": "androidnative", - "elo": 1194, + "elo": 1196, "win_rate": 52.1, "rank": 15 }, { "arena": "agents", "category": "fullstack", - "elo": 1163, - "win_rate": 53.2, + "elo": 1176, + "win_rate": 53.4, "rank": 23 }, { "arena": "agents", "category": "godotgamedev", - "elo": 1053, - "win_rate": 37.8, - "rank": 34 + "elo": 1063, + "win_rate": 38.6, + "rank": 32 }, { "arena": "agents", "category": "htmlslides", - "elo": 1173, - "win_rate": 48.9, + "elo": 1174, + "win_rate": 51.2, "rank": 14 }, { "arena": "agents", "category": "mobileapps", - "elo": 1191, - "win_rate": 51.4, - "rank": 21 + "elo": 1160, + "win_rate": 51.1, + "rank": 24 }, { "arena": "agents", @@ -37880,13 +38359,13 @@ "category": "python-pptxslides", "elo": 1258, "win_rate": 54.2, - "rank": 6 + "rank": 7 }, { "arena": "agents", "category": "webapps", - "elo": 1180, - "win_rate": 50.8, + "elo": 1186, + "win_rate": 51, "rank": 25 } ], @@ -37917,13 +38396,13 @@ "instruct_type": null }, "pricing": { - "prompt": "0.0000006496", - "completion": "0.0000020416", - "input_cache_read": "0.00000012064" + "prompt": "0.00000036", + "completion": "0.00000399", + "input_cache_read": "0.00000026" }, "top_provider": { "context_length": 1048576, - "max_completion_tokens": 131072, + "max_completion_tokens": 943718, "is_moderated": false }, "per_request_limits": null, @@ -37970,202 +38449,20 @@ "arena": "agents", "category": "agenticgamedev", "elo": 1205, - "win_rate": 49, - "rank": 10 - }, - { - "arena": "agents", - "category": "androidnative", - "elo": 1191, - "win_rate": 53, - "rank": 16 - }, - { - "arena": "agents", - "category": "fullstack", - "elo": 1238, - "win_rate": 60.9, - "rank": 12 - }, - { - "arena": "agents", - "category": "godotgamedev", - "elo": 1142, - "win_rate": 40.1, - "rank": 22 - }, - { - "arena": "agents", - "category": "htmlslides", - "elo": 1178, - "win_rate": 49.6, - "rank": 13 - }, - { - "arena": "agents", - "category": "mobileapps", - "elo": 1189, - "win_rate": 50.4, - "rank": 23 - }, - { - "arena": "agents", - "category": "python-pptxslides", - "elo": 1194, - "win_rate": 48.7, - "rank": 16 - }, - { - "arena": "agents", - "category": "webapps", - "elo": 1227, - "win_rate": 56.1, - "rank": 14 - }, - { - "arena": "models", - "category": "3d", - "elo": 1316, - "win_rate": 53.6, - "rank": 14 - }, - { - "arena": "models", - "category": "asciiart", - "elo": 1212, - "win_rate": 47.1, - "rank": 23 - }, - { - "arena": "models", - "category": "codecategories", - "elo": 1300, - "win_rate": 52.7, - "rank": 13 - }, - { - "arena": "models", - "category": "dataviz", - "elo": 1303, - "win_rate": 53.3, - "rank": 11 - }, - { - "arena": "models", - "category": "gamedev", - "elo": 1285, - "win_rate": 49.7, - "rank": 18 - }, - { - "arena": "models", - "category": "svg", - "elo": 1233, - "win_rate": 49.8, - "rank": 15 - }, - { - "arena": "models", - "category": "uicomponent", - "elo": 1305, - "win_rate": 55.1, - "rank": 14 - }, - { - "arena": "models", - "category": "website", - "elo": 1299, - "win_rate": 53.1, - "rank": 13 - } - ], - "artificial_analysis": { - "intelligence_index": 33.7, - "coding_index": 68.8, - "agentic_index": 38.4 - } - }, - "reasoning": { - "mandatory": false, - "default_enabled": true, - "supported_efforts": ["xhigh", "high"], - "default_effort": "high" - } - }, - { - "id": "z-ai/glm-5.2:free", - "canonical_slug": "z-ai/glm-5.2-20260616", - "hugging_face_id": "zai-org/GLM-5.2", - "name": "Z.ai: GLM 5.2 (free)", - "created": 1781631930, - "description": "GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...", - "context_length": 32768, - "architecture": { - "modality": "text->text", - "input_modalities": ["text"], - "output_modalities": ["text"], - "tokenizer": "Other", - "instruct_type": null - }, - "pricing": { - "prompt": "0", - "completion": "0" - }, - "top_provider": { - "context_length": 32768, - "max_completion_tokens": 29491, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "frequency_penalty", - "include_reasoning", - "max_tokens", - "min_p", - "presence_penalty", - "reasoning", - "reasoning_effort", - "repetition_penalty", - "seed", - "stop", - "temperature", - "top_k", - "top_p" - ], - "default_parameters": { - "temperature": 1, - "top_p": 0.95, - "top_k": null, - "frequency_penalty": null, - "presence_penalty": null, - "repetition_penalty": null - }, - "supported_voices": null, - "knowledge_cutoff": null, - "expiration_date": null, - "links": { - "details": "/api/v1/models/z-ai/glm-5.2-20260616/endpoints" - }, - "benchmarks": { - "design_arena": [ - { - "arena": "agents", - "category": "agenticgamedev", - "elo": 1205, - "win_rate": 49, + "win_rate": 49.1, "rank": 10 }, { "arena": "agents", "category": "androidnative", - "elo": 1191, - "win_rate": 53, + "elo": 1195, + "win_rate": 53.3, "rank": 16 }, { "arena": "agents", "category": "fullstack", - "elo": 1238, + "elo": 1250, "win_rate": 60.9, "rank": 12 }, @@ -38179,42 +38476,42 @@ { "arena": "agents", "category": "htmlslides", - "elo": 1178, - "win_rate": 49.6, - "rank": 13 + "elo": 1181, + "win_rate": 51.9, + "rank": 12 }, { "arena": "agents", "category": "mobileapps", - "elo": 1189, - "win_rate": 50.4, - "rank": 23 + "elo": 1155, + "win_rate": 47.9, + "rank": 25 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1194, - "win_rate": 48.7, - "rank": 16 + "elo": 1196, + "win_rate": 50.4, + "rank": 17 }, { "arena": "agents", "category": "webapps", - "elo": 1227, - "win_rate": 56.1, + "elo": 1233, + "win_rate": 56.2, "rank": 14 }, { "arena": "models", "category": "3d", - "elo": 1316, + "elo": 1308, "win_rate": 53.6, - "rank": 14 + "rank": 15 }, { "arena": "models", "category": "asciiart", - "elo": 1212, + "elo": 1213, "win_rate": 47.1, "rank": 23 }, @@ -38222,43 +38519,43 @@ "arena": "models", "category": "codecategories", "elo": 1300, - "win_rate": 52.7, + "win_rate": 52.2, "rank": 13 }, { "arena": "models", "category": "dataviz", - "elo": 1303, + "elo": 1301, "win_rate": 53.3, - "rank": 11 + "rank": 12 }, { "arena": "models", "category": "gamedev", - "elo": 1285, - "win_rate": 49.7, - "rank": 18 + "elo": 1282, + "win_rate": 49.5, + "rank": 20 }, { "arena": "models", "category": "svg", - "elo": 1233, - "win_rate": 49.8, - "rank": 15 + "elo": 1219, + "win_rate": 49.5, + "rank": 19 }, { "arena": "models", "category": "uicomponent", - "elo": 1305, - "win_rate": 55.1, - "rank": 14 + "elo": 1301, + "win_rate": 55, + "rank": 16 }, { "arena": "models", "category": "website", - "elo": 1299, - "win_rate": 53.1, - "rank": 13 + "elo": 1298, + "win_rate": 52.1, + "rank": 15 } ], "artificial_analysis": { @@ -38281,7 +38578,7 @@ "name": "Z.ai: GLM 5.3", "created": 1787086655, "description": "GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves...", - "context_length": 1310720, + "context_length": 1048576, "architecture": { "modality": "text->text", "input_modalities": ["text"], @@ -38338,79 +38635,79 @@ { "arena": "models", "category": "3d", - "elo": 1387, - "win_rate": 66.5, - "rank": 4 + "elo": 1376, + "win_rate": 66.1, + "rank": 5 }, { "arena": "models", "category": "asciiart", - "elo": 1227, - "win_rate": 47.8, - "rank": 17 + "elo": 1219, + "win_rate": 46.4, + "rank": 21 }, { "arena": "models", "category": "codecategories", "elo": 1321, - "win_rate": 57, + "win_rate": 56.5, "rank": 6 }, { "arena": "models", "category": "dataviz", - "elo": 1271, - "win_rate": 52.3, - "rank": 23 + "elo": 1274, + "win_rate": 53.1, + "rank": 22 }, { "arena": "models", "category": "gamedev", - "elo": 1359, - "win_rate": 62.8, - "rank": 3 + "elo": 1343, + "win_rate": 58.4, + "rank": 7 }, { "arena": "models", "category": "svg", - "elo": 1307, - "win_rate": 58.6, - "rank": 6 + "elo": 1297, + "win_rate": 57.4, + "rank": 7 }, { "arena": "models", "category": "uicomponent", - "elo": 1338, - "win_rate": 58.6, - "rank": 7 + "elo": 1332, + "win_rate": 58.2, + "rank": 8 }, { "arena": "models", "category": "website", "elo": 1309, - "win_rate": 55.1, - "rank": 8 + "win_rate": 55, + "rank": 9 }, { "arena": "agents", "category": "htmlslides", "elo": 1189, "win_rate": 39.1, - "rank": 9 + "rank": 10 }, { "arena": "agents", "category": "mobileapps", - "elo": 1221, - "win_rate": 53.2, - "rank": 15 + "elo": 1198, + "win_rate": 53.7, + "rank": 17 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1258, - "win_rate": 51.6, - "rank": 7 + "elo": 1257, + "win_rate": 51.2, + "rank": 8 } ], "artificial_analysis": { @@ -38433,7 +38730,7 @@ "name": "Z.ai: GLM 5.3 Flash", "created": 1787752741, "description": "GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while...", - "context_length": 1310720, + "context_length": 1048576, "architecture": { "modality": "text+image+video->text", "input_modalities": ["text", "image", "video"], @@ -38442,13 +38739,13 @@ "instruct_type": null }, "pricing": { - "prompt": "0.000000045", - "completion": "0.00000014", - "input_cache_read": "0.00000001" + "prompt": "0.00000015", + "completion": "0.0000005", + "input_cache_read": "0.00000003" }, "top_provider": { - "context_length": 1048576, - "max_completion_tokens": 128000, + "context_length": 1048575, + "max_completion_tokens": 943717, "is_moderated": false }, "per_request_limits": null, @@ -38490,57 +38787,57 @@ { "arena": "models", "category": "3d", - "elo": 1347, - "win_rate": 58.2, - "rank": 8 + "elo": 1337, + "win_rate": 56.8, + "rank": 10 }, { "arena": "models", "category": "asciiart", - "elo": 1275, - "win_rate": 54.5, - "rank": 11 + "elo": 1277, + "win_rate": 54.8, + "rank": 12 }, { "arena": "models", "category": "codecategories", - "elo": 1291, + "elo": 1292, "win_rate": 49.5, "rank": 16 }, { "arena": "models", "category": "dataviz", - "elo": 1274, - "win_rate": 50.5, - "rank": 21 + "elo": 1272, + "win_rate": 50.4, + "rank": 25 }, { "arena": "models", "category": "gamedev", - "elo": 1299, - "win_rate": 47.9, - "rank": 15 + "elo": 1294, + "win_rate": 47.2, + "rank": 17 }, { "arena": "models", "category": "svg", - "elo": 1300, - "win_rate": 57, - "rank": 8 + "elo": 1289, + "win_rate": 57.1, + "rank": 10 }, { "arena": "models", "category": "uicomponent", - "elo": 1331, - "win_rate": 55.1, + "elo": 1328, + "win_rate": 55, "rank": 10 }, { "arena": "models", "category": "website", - "elo": 1278, - "win_rate": 48.3, + "elo": 1280, + "win_rate": 48.5, "rank": 22 } ], @@ -38618,57 +38915,57 @@ { "arena": "models", "category": "3d", - "elo": 1347, - "win_rate": 58.2, - "rank": 8 + "elo": 1337, + "win_rate": 56.8, + "rank": 10 }, { "arena": "models", "category": "asciiart", - "elo": 1275, - "win_rate": 54.5, - "rank": 11 + "elo": 1277, + "win_rate": 54.8, + "rank": 12 }, { "arena": "models", "category": "codecategories", - "elo": 1291, + "elo": 1292, "win_rate": 49.5, "rank": 16 }, { "arena": "models", "category": "dataviz", - "elo": 1274, - "win_rate": 50.5, - "rank": 21 + "elo": 1272, + "win_rate": 50.4, + "rank": 25 }, { "arena": "models", "category": "gamedev", - "elo": 1299, - "win_rate": 47.9, - "rank": 15 + "elo": 1294, + "win_rate": 47.2, + "rank": 17 }, { "arena": "models", "category": "svg", - "elo": 1300, - "win_rate": 57, - "rank": 8 + "elo": 1289, + "win_rate": 57.1, + "rank": 10 }, { "arena": "models", "category": "uicomponent", - "elo": 1331, - "win_rate": 55.1, + "elo": 1328, + "win_rate": 55, "rank": 10 }, { "arena": "models", "category": "website", - "elo": 1278, - "win_rate": 48.3, + "elo": 1280, + "win_rate": 48.5, "rank": 22 } ], @@ -38862,79 +39159,79 @@ { "arena": "models", "category": "3d", - "elo": 1387, - "win_rate": 66.5, - "rank": 4 + "elo": 1376, + "win_rate": 66.1, + "rank": 5 }, { "arena": "models", "category": "asciiart", - "elo": 1227, - "win_rate": 47.8, - "rank": 17 + "elo": 1219, + "win_rate": 46.4, + "rank": 21 }, { "arena": "models", "category": "codecategories", "elo": 1321, - "win_rate": 57, + "win_rate": 56.5, "rank": 6 }, { "arena": "models", "category": "dataviz", - "elo": 1271, - "win_rate": 52.3, - "rank": 23 + "elo": 1274, + "win_rate": 53.1, + "rank": 22 }, { "arena": "models", "category": "gamedev", - "elo": 1359, - "win_rate": 62.8, - "rank": 3 + "elo": 1343, + "win_rate": 58.4, + "rank": 7 }, { "arena": "models", "category": "svg", - "elo": 1307, - "win_rate": 58.6, - "rank": 6 + "elo": 1297, + "win_rate": 57.4, + "rank": 7 }, { "arena": "models", "category": "uicomponent", - "elo": 1338, - "win_rate": 58.6, - "rank": 7 + "elo": 1332, + "win_rate": 58.2, + "rank": 8 }, { "arena": "models", "category": "website", "elo": 1309, - "win_rate": 55.1, - "rank": 8 + "win_rate": 55, + "rank": 9 }, { "arena": "agents", "category": "htmlslides", "elo": 1189, "win_rate": 39.1, - "rank": 9 + "rank": 10 }, { "arena": "agents", "category": "mobileapps", - "elo": 1221, - "win_rate": 53.2, - "rank": 15 + "elo": 1198, + "win_rate": 53.7, + "rank": 17 }, { "arena": "agents", "category": "python-pptxslides", - "elo": 1258, - "win_rate": 51.6, - "rank": 7 + "elo": 1257, + "win_rate": 51.2, + "rank": 8 } ], "artificial_analysis": { @@ -39006,8 +39303,8 @@ { "arena": "agents", "category": "agenticgamedev", - "elo": 1102, - "win_rate": 42.6, + "elo": 1104, + "win_rate": 42.7, "rank": 23 }, { @@ -39048,30 +39345,30 @@ { "arena": "agents", "category": "fullstack", - "elo": 1146, - "win_rate": 52.1, + "elo": 1157, + "win_rate": 52, "rank": 26 }, { "arena": "agents", "category": "godotgamedev", - "elo": 956, + "elo": 962, "win_rate": 26.9, "rank": 35 }, { "arena": "agents", "category": "htmlslides", - "elo": 1123, + "elo": 1122, "win_rate": 44.6, "rank": 21 }, { "arena": "agents", "category": "mobileapps", - "elo": 1162, - "win_rate": 50.4, - "rank": 31 + "elo": 1133, + "win_rate": 50.5, + "rank": 33 }, { "arena": "agents", @@ -39085,34 +39382,34 @@ "category": "python-pptxslides", "elo": 1165, "win_rate": 51.9, - "rank": 20 + "rank": 21 }, { "arena": "agents", "category": "webapps", - "elo": 1130, + "elo": 1134, "win_rate": 44.7, "rank": 31 }, { "arena": "models", "category": "3d", - "elo": 1235, - "win_rate": 53, + "elo": 1228, + "win_rate": 52.9, "rank": 37 }, { "arena": "models", "category": "asciiart", - "elo": 1122, - "win_rate": 42.5, - "rank": 54 + "elo": 1129, + "win_rate": 43.1, + "rank": 53 }, { "arena": "models", "category": "codecategories", - "elo": 1237, - "win_rate": 50.2, + "elo": 1238, + "win_rate": 50.1, "rank": 42 }, { @@ -39125,30 +39422,30 @@ { "arena": "models", "category": "gamedev", - "elo": 1234, - "win_rate": 51, - "rank": 37 + "elo": 1232, + "win_rate": 50.7, + "rank": 39 }, { "arena": "models", "category": "svg", - "elo": 1162, - "win_rate": 49.4, - "rank": 39 + "elo": 1149, + "win_rate": 49.2, + "rank": 42 }, { "arena": "models", "category": "uicomponent", - "elo": 1227, - "win_rate": 49.1, - "rank": 44 + "elo": 1223, + "win_rate": 48.7, + "rank": 45 }, { "arena": "models", "category": "website", "elo": 1238, "win_rate": 49.3, - "rank": 41 + "rank": 42 } ] }, diff --git a/scripts/vercel-gateway.models.json b/scripts/vercel-gateway.models.json index 37c871fc0e..09aed62886 100644 --- a/scripts/vercel-gateway.models.json +++ b/scripts/vercel-gateway.models.json @@ -2007,7 +2007,12 @@ }, { "type": "effort", - "values": ["none", "low", "medium", "high"] + "values": ["low", "medium", "xhigh"] + }, + { + "type": "budget_tokens", + "min": 0, + "max": 262144 } ], "pricing": { @@ -3026,7 +3031,7 @@ }, { "type": "effort", - "values": ["none", "low", "medium", "high", "xhigh"] + "values": ["none", "low", "medium", "high", "xhigh", "max"] }, { "type": "budget_tokens" @@ -3094,7 +3099,7 @@ }, { "type": "effort", - "values": ["none", "low", "medium", "high", "xhigh"] + "values": ["none", "low", "medium", "high", "xhigh", "max"] }, { "type": "budget_tokens" @@ -3447,7 +3452,7 @@ }, { "type": "effort", - "values": ["none", "low", "medium", "high", "xhigh"] + "values": ["none", "low", "medium", "high", "xhigh", "max"] }, { "type": "budget_tokens" @@ -3529,7 +3534,7 @@ }, { "type": "effort", - "values": ["none", "low", "medium", "high", "xhigh"] + "values": ["none", "low", "medium", "high", "xhigh", "max"] }, { "type": "budget_tokens" @@ -3617,7 +3622,7 @@ }, { "type": "effort", - "values": ["none", "low", "medium", "high", "xhigh"] + "values": ["none", "low", "medium", "high", "xhigh", "max"] }, { "type": "budget_tokens" @@ -3686,7 +3691,7 @@ }, { "type": "effort", - "values": ["none", "low", "medium", "high", "xhigh"] + "values": ["none", "low", "medium", "high", "xhigh", "max"] }, { "type": "budget_tokens" @@ -3773,7 +3778,7 @@ }, { "type": "effort", - "values": ["none", "low", "medium", "high", "xhigh"] + "values": ["none", "low", "medium", "high", "xhigh", "max"] }, { "type": "budget_tokens" @@ -3816,7 +3821,8 @@ "reasoning", "tool-use", "vision", - "web-search" + "web-search", + "structured-output" ], "regions": ["eu", "us"], "supported_specifications": ["v2", "v3", "v4"], @@ -3830,7 +3836,9 @@ "tools", "tool_choice", "reasoning", - "include_reasoning" + "include_reasoning", + "response_format", + "structured_outputs" ], "temperature": false, "reasoning_options": [ @@ -3894,7 +3902,8 @@ "reasoning", "tool-use", "vision", - "web-search" + "web-search", + "structured-output" ], "regions": ["eu", "us"], "supported_specifications": ["v2", "v3", "v4"], @@ -3908,7 +3917,9 @@ "tools", "tool_choice", "reasoning", - "include_reasoning" + "include_reasoning", + "response_format", + "structured_outputs" ], "temperature": false, "reasoning_options": [ @@ -4358,7 +4369,7 @@ }, { "type": "effort", - "values": ["none", "low", "medium", "high", "xhigh"] + "values": ["none", "low", "medium", "high", "xhigh", "max"] }, { "type": "budget_tokens" @@ -4387,6 +4398,74 @@ } } }, + { + "id": "anthropic/claude-sonnet-5.5", + "object": "model", + "created": 1755815280, + "released": 1790553600, + "owned_by": "anthropic", + "name": "Claude Sonnet 5.5", + "description": "Claude Sonnet 5.5 is a step-change improvement over Sonnet 5 for well-scoped everyday work like building features, fixing bugs, and creating polished documents, slides, and spreadsheets. It also writes more clearly than Sonnet 5.", + "context_window": 1000000, + "max_tokens": 128000, + "type": "language", + "zdr": "all", + "no_training": "all", + "tags": [ + "explicit-caching", + "file-input", + "reasoning", + "tool-use", + "vision", + "web-search", + "structured-output" + ], + "regions": ["eu", "us"], + "supported_specifications": ["v2", "v3", "v4"], + "modalities": { + "input": ["text", "image", "pdf"], + "output": ["text"] + }, + "supported_parameters": [ + "max_tokens", + "stop", + "tools", + "tool_choice", + "reasoning", + "include_reasoning", + "response_format", + "structured_outputs" + ], + "temperature": false, + "reasoning_options": [ + { + "type": "effort", + "values": ["low", "medium", "high", "xhigh", "max"] + } + ], + "knowledge": "2026-06", + "pricing": { + "input": "0.000002", + "output": "0.00001", + "input_cache_read": "0.0000002", + "input_cache_write": "0.0000025", + "web_search": "10", + "regional": { + "eu": { + "input": "0.0000022", + "output": "0.000011", + "input_cache_read": "0.00000022", + "input_cache_write": "0.00000275" + }, + "us": { + "input": "0.0000022", + "output": "0.000011", + "input_cache_read": "0.00000022", + "input_cache_write": "0.00000275" + } + } + } + }, { "id": "arcee-ai/trinity-large-thinking", "object": "model", @@ -6324,7 +6403,11 @@ }, { "type": "effort", - "values": ["none", "low", "medium", "high"] + "values": ["low", "medium", "high"] + }, + { + "type": "budget_tokens", + "min": 1024 } ], "pricing": { @@ -8767,13 +8850,7 @@ "type": "language", "zdr": "some", "no_training": "some", - "tags": [ - "implicit-caching", - "reasoning", - "tool-use", - "structured-output", - "free" - ], + "tags": ["implicit-caching", "reasoning", "tool-use", "structured-output"], "supported_specifications": ["v2", "v3", "v4"], "modalities": { "input": ["text"], @@ -8797,19 +8874,20 @@ } ], "pricing": { - "input": "0", - "output": "0", + "input": "0.000000075", + "output": "0.00000022", + "input_cache_read": "0.000000015", "varies_by_provider": true } }, { - "id": "inclusionai/ling-3.0-flash-fin-free", + "id": "inclusionai/ling-3.0-flash-sante", "object": "model", "created": 1755815280, - "released": 1787788800, + "released": 1788480000, "owned_by": "inclusionai", - "name": "Ling 3.0 Flash Fin (Free)", - "description": "Ling 3.0 Flash Fin is InclusionAI’s finance-enhanced MoE language model, combining 124 billion total parameters with approximately 5.1 billion active parameters for efficient financial reasoning. Its 256K context window, function calling, and support for complex, multi-step investment workflows make it ideal for financial research, analysis, long-horizon planning, and execution, while retaining strong capabilities in coding and mathematics.", + "name": "Ling 3.0 Flash Sante", + "description": "Ling-3.0-Flash-Sante is inclusionAI’s language model specialized for health and medicine, built on a Mixture-of-Experts architecture with 124 billion total parameters and approximately 5.1 billion active per token. With a 256K context window and function calling, it supports medical knowledge reasoning, evidence-based retrieval, and complex medical workflows while retaining general reasoning, coding, and agentic capabilities.", "context_window": 256000, "max_tokens": 32000, "type": "language", @@ -8834,6 +8912,10 @@ "reasoning_options": [ { "type": "toggle" + }, + { + "type": "effort", + "values": ["none", "low", "medium", "high"] } ], "pricing": { @@ -8842,12 +8924,12 @@ } }, { - "id": "inclusionai/ling-3.0-flash-sante", + "id": "inclusionai/ling-3.0-flash-sante-free", "object": "model", "created": 1755815280, "released": 1788480000, "owned_by": "inclusionai", - "name": "Ling 3.0 Flash Sante", + "name": "Ling 3.0 Flash Sante (Free)", "description": "Ling-3.0-Flash-Sante is inclusionAI’s language model specialized for health and medicine, built on a Mixture-of-Experts architecture with 124 billion total parameters and approximately 5.1 billion active per token. With a 256K context window and function calling, it supports medical knowledge reasoning, evidence-based retrieval, and complex medical workflows while retaining general reasoning, coding, and agentic capabilities.", "context_window": 256000, "max_tokens": 32000, @@ -8885,19 +8967,59 @@ } }, { - "id": "inclusionai/ling-3.0-flash-sante-free", + "id": "inclusionai/ling-3.0-flash-vl", "object": "model", "created": 1755815280, - "released": 1788480000, + "released": 1788825600, "owned_by": "inclusionai", - "name": "Ling 3.0 Flash Sante (Free)", - "description": "Ling-3.0-Flash-Sante is inclusionAI’s language model specialized for health and medicine, built on a Mixture-of-Experts architecture with 124 billion total parameters and approximately 5.1 billion active per token. With a 256K context window and function calling, it supports medical knowledge reasoning, evidence-based retrieval, and complex medical workflows while retaining general reasoning, coding, and agentic capabilities.", + "name": "Ling 3.0 Flash VL", + "description": "Ling 3.0 Flash VL builds on Ling 3.0 Flash with stronger language capabilities, native visual perception, and visual agent capabilities. It supports text, image, and video inputs with text output, reasoning, and function calling.", "context_window": 256000, "max_tokens": 32000, "type": "language", "zdr": "none", "no_training": "none", - "tags": ["free", "reasoning", "tool-use"], + "tags": ["reasoning", "tool-use", "video-input", "vision"], + "supported_specifications": ["v2", "v3", "v4"], + "modalities": { + "input": ["text", "image", "video"], + "output": ["text"] + }, + "supported_parameters": [ + "max_tokens", + "temperature", + "stop", + "tools", + "tool_choice", + "reasoning", + "include_reasoning" + ], + "temperature": true, + "reasoning_options": [ + { + "type": "toggle" + } + ], + "pricing": { + "input": "0.000000075", + "output": "0.00000022", + "input_cache_read": "0.000000015" + } + }, + { + "id": "inclusionai/ling-3.1-flash", + "object": "model", + "created": 1755815280, + "released": 1790640000, + "owned_by": "inclusionai", + "name": "Ling 3.1 Flash", + "description": "Ling 3.1 Flash is InclusionAI's hybrid reasoning language model for coding, multi-step analysis, and tool-using agents. It has 560B total parameters with 25B activated parameters and supports long-context text workflows.", + "context_window": 262144, + "max_tokens": 32768, + "type": "language", + "zdr": "none", + "no_training": "none", + "tags": ["free", "reasoning", "tool-use", "implicit-caching"], "supported_specifications": ["v2", "v3", "v4"], "modalities": { "input": ["text"], @@ -8928,22 +9050,22 @@ } }, { - "id": "inclusionai/ling-3.0-flash-vl", + "id": "inclusionai/ling-3.1-flash-free", "object": "model", "created": 1755815280, - "released": 1788825600, + "released": 1790640000, "owned_by": "inclusionai", - "name": "Ling 3.0 Flash VL", - "description": "Ling 3.0 Flash VL builds on Ling 3.0 Flash with stronger language capabilities, native visual perception, and visual agent capabilities. It supports text, image, and video inputs with text output, reasoning, and function calling.", - "context_window": 256000, - "max_tokens": 32000, + "name": "Ling 3.1 Flash (Free)", + "description": "Ling 3.1 Flash is InclusionAI's hybrid reasoning language model for coding, multi-step analysis, and tool-using agents. It has 560B total parameters with 25B activated parameters and supports long-context text workflows.", + "context_window": 262144, + "max_tokens": 32768, "type": "language", "zdr": "none", "no_training": "none", - "tags": ["reasoning", "tool-use", "video-input", "vision"], + "tags": ["free", "reasoning", "tool-use", "implicit-caching"], "supported_specifications": ["v2", "v3", "v4"], "modalities": { - "input": ["text", "image", "video"], + "input": ["text"], "output": ["text"] }, "supported_parameters": [ @@ -8959,12 +9081,15 @@ "reasoning_options": [ { "type": "toggle" + }, + { + "type": "effort", + "values": ["none", "low", "medium", "high"] } ], "pricing": { - "input": "0.000000075", - "output": "0.00000022", - "input_cache_read": "0.000000015" + "input": "0", + "output": "0" } }, { @@ -9573,6 +9698,77 @@ ] } }, + { + "id": "liquid/d1", + "object": "model", + "created": 1755815280, + "released": 1790640000, + "owned_by": "liquid", + "name": "Liquid d1", + "description": "Liquid d1 is a decision model for classification, routing, and scoring. It evaluates shared state against typed Choice, Score, and yes/no questions and returns structured answers with calibrated probabilities through the TypeSafe-compatible System One API.", + "context_window": 32000, + "max_tokens": 0, + "type": "evaluation", + "zdr": "none", + "no_training": "none", + "supported_specifications": ["v4"], + "modalities": { + "input": ["text"], + "output": ["text"] + }, + "pricing": { + "input": "0", + "output": "0" + } + }, + { + "id": "meituan/longcat-2.5-preview", + "object": "model", + "created": 1755815280, + "released": 1790380800, + "owned_by": "meituan", + "name": "LongCat 2.5 Preview", + "description": "LongCat-2.5-Preview is Meituan’s multimodal reasoning model for coding and agentic workflows, with a 1M-token context window and support for text and image inputs. It combines image understanding, visual question answering, and content summarization with code generation, code understanding, and automated programming, and supports tool calling and optional thinking for complex tasks.", + "context_window": 1048576, + "max_tokens": 131072, + "type": "language", + "zdr": "none", + "no_training": "none", + "tags": [ + "implicit-caching", + "reasoning", + "tool-use", + "vision", + "structured-output" + ], + "supported_specifications": ["v2", "v3", "v4"], + "modalities": { + "input": ["text", "image"], + "output": ["text"] + }, + "supported_parameters": [ + "max_tokens", + "temperature", + "stop", + "tools", + "tool_choice", + "reasoning", + "include_reasoning", + "response_format", + "structured_outputs" + ], + "temperature": true, + "reasoning_options": [ + { + "type": "toggle" + } + ], + "pricing": { + "input": "0.0000003", + "output": "0.0000012", + "input_cache_read": "0.000000006" + } + }, { "id": "meta/llama-3.1-70b", "object": "model", @@ -10041,6 +10237,7 @@ "id": "meta/muse-spark-1.3", "object": "model", "created": 1755815280, + "released": 1788307200, "owned_by": "meta", "name": "Muse Spark 1.3", "description": "Muse Spark 1.3 is Meta’s multimodal reasoning model for long-horizon agentic and coding workflows. With a 1M-token context window, reliable tool calling, higher first-attempt accuracy, and native understanding of video, images, and documents, it helps developers build capable coding agents and AI development workflows with fewer unnecessary turns and cleaner output.", @@ -10090,6 +10287,7 @@ "id": "meta/muse-spark-1.3-contributor", "object": "model", "created": 1755815280, + "released": 1788307200, "owned_by": "meta", "name": "Muse Spark 1.3 Contributor", "description": "Muse Spark 1.3 Contributor is Meta’s cost-optimized API option for agentic coding workflows. It offers a 1M-token context window, dependable tool calling, and multimodal perception at $0.10 per million input tokens and $0.20 per million output tokens, with usage permitted to improve Meta’s products.", @@ -11207,10 +11405,9 @@ "reasoning", "tool-use", "vision", - "structured-output", - "video-input" + "video-input", + "structured-output" ], - "regions": ["us"], "supported_specifications": ["v2", "v3", "v4"], "modalities": { "input": ["text", "image", "video"], @@ -11238,14 +11435,7 @@ "input": "0.00000095", "output": "0.000004", "input_cache_read": "0.00000016", - "varies_by_provider": true, - "regional": { - "us": { - "input": "0.00000095", - "output": "0.000004", - "input_cache_read": "0.00000016" - } - } + "varies_by_provider": true } }, { @@ -11267,10 +11457,9 @@ "implicit-caching", "file-input", "vision", - "structured-output", - "video-input" + "video-input", + "structured-output" ], - "regions": ["us"], "supported_specifications": ["v2", "v3", "v4"], "modalities": { "input": ["text", "image", "pdf", "video"], @@ -11298,23 +11487,14 @@ } ], "knowledge": "2025-01", - 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"regions": ["us"], + "regions": ["eu", "us"], "supported_specifications": ["v2", "v3", "v4"], "modalities": { "input": ["text", "image", "pdf"], @@ -14806,6 +15035,56 @@ ], "web_search": "10", "regional": { + "eu": { + "input": "0.0000004", + "input_tiers": [ + { + "cost": "0.0000004", + "min": 0, + "max": 272000 + }, + { + "cost": "0.0000008", + "min": 272000 + } + ], + "output": "0.0000024", + "output_tiers": [ + { + "cost": "0.0000024", + "min": 0, + "max": 272000 + }, + { + "cost": "0.0000036", + "min": 272000 + } + ], + "input_cache_read": "0.00000004", + "input_cache_read_tiers": [ + { + "cost": "0.00000004", + "min": 0, + "max": 272000 + }, + { + "cost": "0.00000008", + "min": 272000 + } + ], + "input_cache_write": "0.0000005", + "input_cache_write_tiers": [ + { + "cost": "0.0000005", + "min": 0, + "max": 272000 + }, + { + "cost": "0.000001", + "min": 272000 + } + ] + }, "us": { "input": "0.00000044", "input_tiers": [ @@ -14884,7 +15163,7 @@ "websocket-realtime", "fast" ], - "regions": ["us"], + "regions": ["eu", "us"], "supported_specifications": ["v2", "v3", "v4"], "modalities": { "input": ["text", "image", "pdf"], @@ -15038,6 +15317,56 @@ ] }, "regional": { + "eu": { + "input": "0.0000044", + "input_tiers": [ + { + "cost": "0.0000044", + "min": 0, + "max": 272000 + }, + { + "cost": "0.0000088", + "min": 272000 + } + ], + "output": "0.000022", + "output_tiers": [ + { + "cost": "0.000022", + "min": 0, + "max": 272000 + }, + { + "cost": "0.000033", + "min": 272000 + } + ], + "input_cache_read": "0.00000044", + "input_cache_read_tiers": [ + { + "cost": "0.00000044", + "min": 0, + "max": 272000 + }, + { + "cost": "0.00000088", + "min": 272000 + } + ], + "input_cache_write": "0.00000275", + "input_cache_write_tiers": [ + { + "cost": "0.00000275", + "min": 0, + "max": 272000 + }, + { + "cost": "0.0000055", + "min": 272000 + } + ] + }, "us": { "input": "0.0000044", "input_tiers": [ @@ -15166,7 +15495,7 @@ "websocket-realtime", "fast" ], - "regions": ["us"], + "regions": ["eu", "us"], "supported_specifications": ["v2", "v3", "v4"], "modalities": { "input": ["text", "image", "pdf"], @@ -15244,6 +15573,56 @@ ], "web_search": "10", "regional": { + "eu": { + "input": "0.000008", + "input_tiers": [ + { + "cost": "0.000008", + "min": 0, + "max": 272000 + }, + { + "cost": "0.000016", + "min": 272000 + } + ], + "output": "0.00004", + "output_tiers": [ + { + "cost": "0.00004", + "min": 0, + "max": 272000 + }, + { + "cost": "0.00006", + "min": 272000 + } + ], + "input_cache_read": "0.0000008", + "input_cache_read_tiers": [ + { + "cost": "0.0000008", + "min": 0, + "max": 272000 + }, + { + "cost": "0.0000016", + "min": 272000 + } + ], + "input_cache_write": "0.00001", + "input_cache_write_tiers": [ + { + "cost": "0.00001", + "min": 0, + "max": 272000 + }, + { + "cost": "0.00002", + "min": 272000 + } + ] + }, "us": { "input": "0.0000088", "input_tiers": [ @@ -15322,7 +15701,7 @@ "websocket-realtime", "fast" ], - "regions": ["us"], + "regions": ["eu", "us"], "supported_specifications": ["v2", "v3", "v4"], "modalities": { "input": ["text", "image", "pdf"], @@ -15475,7 +15854,7 @@ ] }, "regional": { - 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"regions": ["us"], + "regions": ["eu", "us"], "supported_specifications": ["v2", "v3", "v4"], "modalities": { "input": ["text", "image", "pdf"], @@ -15681,6 +16110,56 @@ ], "web_search": "10", "regional": { + "eu": { + "input": "0.000004", + "input_tiers": [ + { + "cost": "0.000004", + "min": 0, + "max": 272000 + }, + { + "cost": "0.000008", + "min": 272000 + } + ], + "output": "0.000024", + "output_tiers": [ + { + "cost": "0.000024", + "min": 0, + "max": 272000 + }, + { + "cost": "0.000036", + "min": 272000 + } + ], + "input_cache_read": "0.0000004", + "input_cache_read_tiers": [ + { + "cost": "0.0000004", + "min": 0, + "max": 272000 + }, + { + "cost": "0.0000008", + "min": 272000 + } + ], + "input_cache_write": "0.000005", + "input_cache_write_tiers": [ + { + "cost": "0.000005", + "min": 0, + "max": 272000 + }, + { + "cost": "0.00001", + "min": 272000 + } + ] + }, "us": { "input": "0.0000044", "input_tiers": [ @@ -15759,7 +16238,7 @@ "structured-output", "fast" ], - "regions": ["us"], + "regions": ["eu", "us"], "supported_specifications": ["v2", "v3", "v4"], "modalities": { "input": ["text", "image", "pdf"], @@ -15903,6 +16382,52 @@ ] }, "regional": { + "eu": { + "input": "0.000011", + "input_tiers": [ + { + "cost": "0.000011", + "max": 272001 + }, + { + "cost": "0.000022", + "min": 272001 + } + ], + "output": "0.000055", + "output_tiers": [ + { + "cost": "0.000055", + "max": 272001 + }, + { + "cost": "0.0000825", + "min": 272001 + } + ], + "input_cache_read": "0.0000011", + "input_cache_read_tiers": [ + { + "cost": "0.0000011", + "max": 272001 + }, + { + "cost": "0.0000022", + "min": 272001 + } + ], + "input_cache_write": "0.00001375", + "input_cache_write_tiers": [ + { + "cost": "0.00001375", + "max": 272001 + }, + { + "cost": "0.0000275", + "min": 272001 + } + ] + }, "us": { "input": "0.000011", "input_tiers": [ @@ -16026,7 +16551,7 @@ "structured-output", "fast" ], - "regions": ["us"], + "regions": ["eu", "us"], "supported_specifications": ["v2", "v3", "v4"], "modalities": { "input": ["text", "image", "pdf"], @@ -16100,6 +16625,55 @@ ], "web_search": "10", "regional": { + "eu": { + "input": "0.00002", + "input_tiers": [ + { + "cost": "0.00002", + "min": 0, + "max": 272001 + }, + { + "cost": "0.00004", + "min": 272001 + } + ], + "output": "0.0001", + "output_tiers": [ + { + "cost": "0.0001", + "min": 0, + "max": 272001 + }, + { + "cost": "0.00015", + "min": 272001 + } + ], + "input_cache_read": "0.000002", + "input_cache_read_tiers": [ + { + "cost": "0.000002", + "min": 0, + "max": 272001 + }, + { + "cost": "0.000004", + "min": 272001 + } + ], + "input_cache_write": "0.000025", + "input_cache_write_tiers": [ + { + "cost": "0.000025", + "max": 272001 + }, + { + "cost": "0.00005", + "min": 272001 + } + ] + }, "us": { "input": "0.000022", "input_tiers": [ @@ -16176,7 +16750,7 @@ "web-search", "fast" ], - "regions": ["us"], + "regions": ["eu", "us"], "supported_specifications": ["v2", "v3", "v4"], "modalities": { "input": ["text", "image", "pdf"], @@ -16329,6 +16903,56 @@ ] }, "regional": { + "eu": { + "input": "0.00000011", + "input_tiers": [ + { + "cost": "0.00000011", + "min": 0, + "max": 272001 + }, + { + "cost": "0.00000022", + "min": 272001 + } + ], + "output": "0.00000055", + "output_tiers": [ + { + "cost": "0.00000055", + "min": 0, + "max": 272001 + }, + { + "cost": "0.000000825", + "min": 272001 + } + ], + "input_cache_read": "0.000000011", + "input_cache_read_tiers": [ + { + "cost": "0.000000011", + "min": 0, + "max": 272001 + }, + { + "cost": "0.000000022", + "min": 272001 + } + ], + "input_cache_write": "0.0000001375", + "input_cache_write_tiers": [ + { + "cost": "0.0000001375", + "min": 0, + "max": 272001 + }, + { + "cost": "0.000000275", + "min": 272001 + } + ] + }, "us": { "input": "0.00000011", "input_tiers": [ @@ -16456,7 +17080,7 @@ "web-search", "fast" ], - "regions": ["us"], + "regions": ["eu", "us"], "supported_specifications": ["v2", "v3", "v4"], "modalities": { "input": ["text", "image", "pdf"], @@ -16535,9 +17159,59 @@ ], "web_search": "10", "regional": { - "us": { - "input": "0.00000022", - "input_tiers": [ + "eu": { + "input": "0.0000002", + "input_tiers": [ + { + "cost": "0.0000002", + "min": 0, + "max": 272001 + }, + { + "cost": "0.0000004", + "min": 272001 + } + ], + "output": "0.000001", + "output_tiers": [ + { + "cost": "0.000001", + "min": 0, + "max": 272001 + }, + { + "cost": "0.0000015", + "min": 272001 + } + ], + "input_cache_read": "0.00000002", + "input_cache_read_tiers": [ + { + "cost": "0.00000002", + "min": 0, + "max": 272001 + }, + { + "cost": "0.00000004", + "min": 272001 + } + ], + "input_cache_write": "0.00000025", + "input_cache_write_tiers": [ + { + "cost": "0.00000025", + "min": 0, + "max": 272001 + }, + { + "cost": "0.0000005", + "min": 272001 + } + ] + }, + "us": { + "input": "0.00000022", + "input_tiers": [ { "cost": "0.00000022", "min": 0, @@ -16612,7 +17286,7 @@ "web-search", "fast" ], - 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It accepts text and images, generates text, and supports a 1,050,000-token context window with up to 128,000 output tokens. Configurable reasoning effort, structured outputs, prompt caching, and Responses API tools make it suited to software development and multi-step automation.", + "name": "GPT-6.1 Sol (Fast)", + "description": "GPT-6.1 Sol is OpenAI's reasoning model for complex coding, computer use, and professional work. It accepts text and images, generates text, and supports a 1,050,000-token context window with up to 128,000 output tokens. 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It is well suited to web and mobile app development, helping developers build and refine applications across both platforms. Prompts and outputs may be retained for training by the provider.", + "context_window": 262144, + "max_tokens": 131072, + "type": "language", + "zdr": "none", + "no_training": "none", + "tags": ["reasoning", "implicit-caching", "vision"], + "supported_specifications": ["v2", "v3", "v4"], + "modalities": { + "input": ["text", "image"], + "output": ["text"] + }, + "supported_parameters": [ + "max_tokens", + "temperature", + "stop", + "reasoning", + "include_reasoning" + ], + "temperature": true, + "reasoning_options": [ + { + "type": "effort", + "values": ["none", "low", "medium", "xhigh"] + } + ], + "pricing": { + "input": "0", + "output": "0" + } + }, { "id": "stepfun/step-3.5-flash", "object": "model", @@ -20808,14 +22093,13 @@ "zdr": "some", "no_training": "some", "tags": [ + "implicit-caching", "reasoning", + "structured-output", "tool-use", "vision", - "file-input", - "structured-output", - "implicit-caching" + "file-input" ], - "regions": ["us"], "supported_specifications": ["v2", "v3", "v4"], "modalities": { "input": ["text", "image", "pdf"], @@ -20839,19 +22123,11 @@ "values": ["none", "minimal", "low", "medium", "high", "xhigh", "max"] } ], - "deprecated_at": 1790380800000, "pricing": { "input": "0.000001", "output": "0.00000405", "input_cache_read": "0.00000017", - "varies_by_provider": true, - "regional": { - "us": { - "input": "0.000001", - "output": "0.00000405", - "input_cache_read": "0.00000017" - } - } + "varies_by_provider": true } }, { @@ -20875,7 +22151,6 @@ "implicit-caching", "structured-output" ], - "regions": ["us"], "supported_specifications": ["v2", "v3", "v4"], "modalities": { "input": ["text", "image", "pdf"], @@ -20899,19 +22174,11 @@ "values": ["none", "minimal", "low", "medium", "high", "xhigh", "max"] } ], - "deprecated_at": 1790380800000, "pricing": { - "input": "0.0000005", + "input": "0.00000045", "output": "0.0000012", "input_cache_read": "0.0000001", - "varies_by_provider": true, - "regional": { - "us": { - "input": "0.0000005", - "output": "0.0000012", - "input_cache_read": "0.0000001" - } - } + "varies_by_provider": true } }, { @@ -21346,7 +22613,8 @@ "pricing": { "input": "0.00000014", "output": "0.00000028", - "input_cache_read": "0.0000000028" + "input_cache_read": "0.0000000028", + "varies_by_provider": true } }, { @@ -21400,7 +22668,8 @@ "pricing": { "input": "0.000000435", "output": "0.00000087", - "input_cache_read": "0.0000000036" + "input_cache_read": "0.0000000036", + "varies_by_provider": true } }, { @@ -21645,14 +22914,13 @@ "released": 1766361600, "owned_by": "zai", "name": "GLM 4.7", - "description": "GLM-4.7 is Z.ai’s latest flagship model, with major upgrades focused on two key areas: stronger coding capabilities and more stable multi-step reasoning and execution.", + "description": "GLM-4.7 is a powerful next-generation coding model that delivers major gains in multilingual agentic coding, terminal-based workflows, and tool use, with strong improvements across benchmarks like SWE-bench, Terminal Bench, and τ²-Bench. It also features enhanced reasoning and math performance, plus significantly upgraded UI generation—producing cleaner, more modern web pages and better-designed slides.", "context_window": 200000, "max_tokens": 120000, "type": "language", "zdr": "some", "no_training": "some", - "tags": ["reasoning", "tool-use", "implicit-caching", "structured-output"], - "regions": ["us"], + "tags": ["reasoning", "tool-use", "structured-output", "implicit-caching"], "supported_specifications": ["v2", "v3", "v4"], "modalities": { "input": ["text"], @@ -21677,19 +22945,10 @@ ], "knowledge": "2025-04", "interleaved": true, - "deprecated_at": 1790380800000, "pricing": { "input": "0.0000006", "output": "0.0000022", - "input_cache_read": "0.00000012", - "varies_by_provider": true, - "regional": { - "us": { - "input": "0.0000006", - "output": "0.0000022", - "input_cache_read": "0.00000012" - } - } + "varies_by_provider": true } }, {