diff --git a/array_api_compat/torch/_aliases.py b/array_api_compat/torch/_aliases.py
index 91161d24..23dafde9 100644
--- a/array_api_compat/torch/_aliases.py
+++ b/array_api_compat/torch/_aliases.py
@@ -241,6 +241,20 @@ def sort(
 ) -> Array:
     return torch.sort(x, dim=axis, descending=descending, stable=stable, **kwargs).values
 
+
+# Wrap torch.argsort to set stable=True by default
+def argsort(
+    x: Array,
+    /,
+    *,
+    axis: int = -1,
+    descending: bool = False,
+    stable: bool = True,
+    **kwargs: object,
+) -> Array:
+    return torch.argsort(x, dim=axis, descending=descending, stable=stable, **kwargs)
+
+
 def _normalize_axes(axis, ndim):
     axes = []
     if ndim == 0 and axis:
@@ -837,9 +851,9 @@ def meshgrid(*arrays: Array, indexing: Literal['xy', 'ij'] = 'xy') -> list[Array
            'equal', 'floor_divide', 'greater', 'greater_equal', 'hypot',
            'less', 'less_equal', 'logaddexp', 'maximum', 'minimum',
            'multiply', 'not_equal', 'pow', 'remainder', 'subtract', 'max',
-           'min', 'clip', 'unstack', 'cumulative_sum', 'cumulative_prod', 'sort', 'prod', 'sum',
-           'any', 'all', 'mean', 'std', 'var', 'concat', 'squeeze',
-           'broadcast_to', 'flip', 'roll', 'nonzero', 'where', 'reshape',
+           'min', 'clip', 'unstack', 'cumulative_sum', 'cumulative_prod', 'sort',
+           'argsort', 'prod', 'sum', 'any', 'all', 'mean', 'std', 'var', 'concat',
+           'squeeze', 'broadcast_to', 'flip', 'roll', 'nonzero', 'where', 'reshape',
            'arange', 'eye', 'linspace', 'full', 'ones', 'zeros', 'empty',
            'tril', 'triu', 'expand_dims', 'astype', 'broadcast_arrays',
            'UniqueAllResult', 'UniqueCountsResult', 'UniqueInverseResult',
diff --git a/array_api_compat/torch/fft.py b/array_api_compat/torch/fft.py
index 76342980..f11b3eb5 100644
--- a/array_api_compat/torch/fft.py
+++ b/array_api_compat/torch/fft.py
@@ -3,7 +3,7 @@
 from collections.abc import Sequence
 from typing import Literal
 
-import torch
+import torch  # noqa: F401
 import torch.fft
 
 from ._typing import Array