added first batch of suppliers

README.md

@@ -2,6 +2,16 @@
 
 LLM & AI Model Compare is a contributor-driven platform for comparing language models and AI technologies across various suppliers. Built with Svelte, it provides an interactive way to explore and understand the differences in cost, speed, and quality of AI models.
 
+## Suppliers
+- [x] OpenAI: [docs](https://platform.openai.com/docs/overview)
+- [ ] Google: [docs](https://cloud.google.com/products/ai)
+- [ ] Anthropic: [docs](https://www.anthropic.com/)
+- [ ] Cohere: [docs](https://docs.cohere.ai/)
+- [ ] Microsoft: [docs](https://docs.microsoft.com/en-us/azure/cognitive-services/)
+- [ ] Anyscale: [docs](https://docs.anyscale.com/)
+- [ ] Groq: [docs](https://groq.com/product/)
+- [ ] Mistral: [docs](https://docs.mistral.ai/)
+
 ## Project Structure
 
 - **`/data`**: Contains supplier directories and model details.

src/data/suppliers/Demo/Model_1.js → src/data/suppliers/_example/Model_1.js

@@ -1,6 +1,7 @@
 const model = {
 	id: 'Model_1',
 	model: 'Model_1',
+	supplier: 'Supplier_1',
 	source: 'https://URL',
 	cost: {
 		currency: 'USD',

src/data/suppliers/_example/index.js

@@ -0,0 +1,7 @@
+const supplier = {
+	id: 'supplier_1',
+	name: 'Supplier 1',
+	docs: 'https://URL'
+};
+
+export default async () => supplier;

src/data/suppliers/anthropic/claude-3-haiku.js

@@ -0,0 +1,32 @@
+const claude3Haiku = {
+	id: 'claude-3-haiku-20240307',
+	name: 'Claude 3 Haiku',
+	modelCard:
+		'https://www-cdn.anthropic.com/de8ba9b01c9ab7cbabf5c33b80b7bbc618857627/Model_Card_Claude_3.pdf',
+	supplier: {
+		id: 'anthropic',
+		docs: 'https://docs.anthropic.com/'
+	},
+	meta: {
+		active: true
+	},
+	cost: {
+		currency: 'USD',
+		per_million_tokens_input: 0.25,
+		per_million_tokens_output: 1.25
+	},
+	speed: {
+		tokens_per_second: 89.1,
+		latency_first_token_ms: 340
+	},
+	technical: {
+		token_window: 200000
+	}
+};
+
+claude3Haiku.cost['per_million_tokens_blend_3_1'] =
+	(claude3Haiku.cost['per_million_tokens_input'] * 3 +
+		claude3Haiku.cost['per_million_tokens_output']) /
+	4;
+
+export default async () => claude3Haiku;

src/data/suppliers/anthropic/claude-3-opus.js

@@ -0,0 +1,32 @@
+const claude3Opus = {
+	id: 'claude-3-opus-20240229',
+	name: 'Claude 3 Opus',
+	modelCard:
+		'https://www-cdn.anthropic.com/de8ba9b01c9ab7cbabf5c33b80b7bbc618857627/Model_Card_Claude_3.pdf',
+	supplier: {
+		id: 'anthropic',
+		docs: 'https://docs.anthropic.com/'
+	},
+	meta: {
+		active: true
+	},
+	cost: {
+		currency: 'USD',
+		per_million_tokens_input: 15.0,
+		per_million_tokens_output: 75.0
+	},
+	speed: {
+		tokens_per_second: 26.6,
+		latency_first_token_ms: 1390
+	},
+	technical: {
+		token_window: 200000
+	}
+};
+
+claude3Opus.cost['per_million_tokens_blend_3_1'] =
+	(claude3Opus.cost['per_million_tokens_input'] * 3 +
+		claude3Opus.cost['per_million_tokens_output']) /
+	4;
+
+export default async () => claude3Opus;

src/data/suppliers/anthropic/claude-3-sonnet.js

@@ -0,0 +1,32 @@
+const claude3Sonnet = {
+	id: 'claude-3-sonnet-20240229',
+	name: 'Claude 3 Sonnet',
+	modelCard:
+		'https://www-cdn.anthropic.com/de8ba9b01c9ab7cbabf5c33b80b7bbc618857627/Model_Card_Claude_3.pdf',
+	supplier: {
+		id: 'anthropic',
+		docs: 'https://docs.anthropic.com/'
+	},
+	meta: {
+		active: true
+	},
+	cost: {
+		currency: 'USD',
+		per_million_tokens_input: 3.0,
+		per_million_tokens_output: 15.0
+	},
+	speed: {
+		tokens_per_second: 58.8,
+		latency_first_token_ms: 420
+	},
+	technical: {
+		token_window: 200000
+	}
+};
+
+claude3Sonnet.cost['per_million_tokens_blend_3_1'] =
+	(claude3Sonnet.cost['per_million_tokens_input'] * 3 +
+		claude3Sonnet.cost['per_million_tokens_output']) /
+	4;
+
+export default async () => claude3Sonnet;

src/data/suppliers/anthropic/index.js

@@ -0,0 +1,7 @@
+const anthropic = {
+	id: 'anthropic',
+	name: 'Anthropic',
+	docs: 'https://docs.anthropic.com/'
+};
+
+export default async () => anthropic;

src/data/suppliers/groq/gemma_7b.js

@@ -0,0 +1,29 @@
+const gemma7B = {
+	id: 'gemma-7b',
+	name: 'Gemma 7B',
+	modelCard: 'https://huggingface.co/google/gemma-1.1-7b-it',
+	supplier: {
+		id: 'groq',
+		docs: 'https://console.groq.com/docs/models'
+	},
+	meta: {
+		active: true
+	},
+	cost: {
+		currency: 'USD',
+		per_million_tokens_input: 0.1,
+		per_million_tokens_output: 0.1
+	},
+	speed: {
+		tokens_per_second: 825.4,
+		latency_first_token_ms: 330
+	},
+	technical: {
+		token_window: 8192
+	}
+};
+
+gemma7B.cost['per_million_tokens_blend_3_1'] =
+	(gemma7B.cost['per_million_tokens_input'] * 3 + gemma7B.cost['per_million_tokens_output']) / 4;
+
+export default async () => gemma7B;

src/data/suppliers/groq/index.js

@@ -0,0 +1,7 @@
+const groq = {
+	id: 'groq',
+	name: 'Groq',
+	docs: 'https://console.groq.com/docs/models'
+};
+
+export default async () => groq;

src/data/suppliers/groq/llama_3_70b.js

@@ -0,0 +1,30 @@
+const llama3_70B = {
+	id: 'llama3-70b-8192',
+	name: 'LLaMA 3 (70B)',
+	modelCard: 'https://huggingface.co/meta-llama/Meta-Llama-3-70B',
+	supplier: {
+		id: 'groq',
+		docs: 'https://console.groq.com/docs/models'
+	},
+	meta: {
+		active: true
+	},
+	cost: {
+		currency: 'USD',
+		per_million_tokens_input: 0.59,
+		per_million_tokens_output: 0.79
+	},
+	speed: {
+		tokens_per_second: 274.7,
+		latency_first_token_ms: 290
+	},
+	technical: {
+		token_window: 8192
+	}
+};
+
+llama3_70B.cost['per_million_tokens_blend_3_1'] =
+	(llama3_70B.cost['per_million_tokens_input'] * 3 + llama3_70B.cost['per_million_tokens_output']) /
+	4;
+
+export default async () => llama3_70B;

src/data/suppliers/groq/llama_3_8b.js

@@ -0,0 +1,30 @@
+const llama3_8B = {
+	id: 'llama3-8b-8192',
+	name: 'LLaMA 3 (8B)',
+	modelCard: 'https://huggingface.co/meta-llama/Meta-Llama-3-8B',
+	supplier: {
+		id: 'groq',
+		docs: 'https://console.groq.com/docs/models'
+	},
+	meta: {
+		active: true
+	},
+	cost: {
+		currency: 'USD',
+		per_million_tokens_input: 0.05,
+		per_million_tokens_output: 0.1
+	},
+	speed: {
+		tokens_per_second: 867.2,
+		latency_first_token_ms: 300
+	},
+	technical: {
+		token_window: 8192
+	}
+};
+
+llama3_8B.cost['per_million_tokens_blend_3_1'] =
+	(llama3_8B.cost['per_million_tokens_input'] * 3 + llama3_8B.cost['per_million_tokens_output']) /
+	4;
+
+export default async () => llama3_8B;

src/data/suppliers/groq/mistral_8x7b.js

@@ -0,0 +1,31 @@
+const mixtral8x7B = {
+	id: 'mixtral-8x7b-32768',
+	name: 'Mixtral 8x7B',
+	modelCard: 'https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1',
+	supplier: {
+		id: 'groq',
+		docs: 'https://console.groq.com/docs/models'
+	},
+	meta: {
+		active: true
+	},
+	cost: {
+		currency: 'USD',
+		per_million_tokens_input: 0.27,
+		per_million_tokens_output: 0.27
+	},
+	speed: {
+		tokens_per_second: 471.6,
+		latency_first_token_ms: 310
+	},
+	technical: {
+		token_window: 32768
+	}
+};
+
+mixtral8x7B.cost['per_million_tokens_blend_3_1'] =
+	(mixtral8x7B.cost['per_million_tokens_input'] * 3 +
+		mixtral8x7B.cost['per_million_tokens_output']) /
+	4;
+
+export default async () => mixtral8x7B;

src/data/suppliers/mistral/8x22b.js

@@ -0,0 +1,31 @@
+const mistral8x22B = {
+	id: 'mistral_8x22b',
+	name: 'Mistral 8x22B',
+	modelCard: 'https://huggingface.co/mistralai/Mixtral-8x22B-v0.1',
+	supplier: {
+		id: 'mistral',
+		docs: 'https://docs.mistral.ai/api/'
+	},
+	meta: {
+		active: true
+	},
+	cost: {
+		currency: 'USD',
+		per_million_tokens_input: 2.0,
+		per_million_tokens_output: 6.0
+	},
+	speed: {
+		tokens_per_second: 77.2,
+		latency_first_token_ms: 220
+	},
+	technical: {
+		token_window: 64000
+	}
+};
+
+mistral8x22B.cost['per_million_tokens_blend_3_1'] =
+	(mistral8x22B.cost['per_million_tokens_input'] * 3 +
+		mistral8x22B.cost['per_million_tokens_output']) /
+	4;
+
+export default async () => mistral8x22B;

src/data/suppliers/mistral/8x7b.js

@@ -0,0 +1,31 @@
+const mistral8x7B = {
+	id: 'mistral_8x7b',
+	name: 'Mistral 8x7B',
+	modelCard: 'https://huggingface.co/mistralai/Mixtral-8x7B-v0.1',
+	supplier: {
+		id: 'mistral',
+		docs: 'https://docs.mistral.ai/api/'
+	},
+	meta: {
+		active: true
+	},
+	cost: {
+		currency: 'USD',
+		per_million_tokens_input: 0.7,
+		per_million_tokens_output: 0.7
+	},
+	speed: {
+		tokens_per_second: 45.3,
+		latency_first_token_ms: 250
+	},
+	technical: {
+		token_window: 32000
+	}
+};
+
+mistral8x7B.cost['per_million_tokens_blend_3_1'] =
+	(mistral8x7B.cost['per_million_tokens_input'] * 3 +
+		mistral8x7B.cost['per_million_tokens_output']) /
+	4;
+
+export default async () => mistral8x7B;

src/data/suppliers/mistral/index.js

@@ -0,0 +1,7 @@
+const mistral = {
+	id: 'mistral',
+	name: 'Mistral',
+	docs: 'https://docs.mistral.ai/api/'
+};
+
+export default async () => mistral;

src/data/suppliers/openai/gpt-3_5_turbo.js

@@ -0,0 +1,29 @@
+const gpt35Turbo = {
+	id: 'gpt-3.5_turbo',
+	name: 'GPT-3.5 Turbo',
+	supplier: {
+		id: 'openai',
+		docs: 'https://platform.openai.com/docs/models'
+	},
+	meta: {
+		active: true
+	},
+	cost: {
+		currency: 'USD',
+		per_million_tokens_input: 0.5,
+		per_million_tokens_output: 1.5
+	},
+	speed: {
+		tokens_per_second: 71.4,
+		latency_first_token_ms: 380
+	},
+	technical: {
+		token_window: 16000
+	}
+};
+
+gpt35Turbo.cost['per_million_tokens_blend_3_1'] =
+	(gpt35Turbo.cost['per_million_tokens_input'] * 3 + gpt35Turbo.cost['per_million_tokens_output']) /
+	4;
+
+export default async () => gpt35Turbo;