diff --git a/array_api_compat/torch/_aliases.py b/array_api_compat/torch/_aliases.py
index 5969e4db..e27c3ca2 100644
--- a/array_api_compat/torch/_aliases.py
+++ b/array_api_compat/torch/_aliases.py
@@ -936,7 +936,9 @@ def meshgrid(*arrays: Array, indexing: Literal['xy', 'ij'] = 'xy') -> tuple[Arra
     # torch <= 2.9 emits a UserWarning: "torch.meshgrid: in an upcoming release, it
     # will be required to pass the indexing argument."
     # Thus always pass it explicitly.
-    return torch.meshgrid(*arrays, indexing=indexing)
+    if indexing not in ("xy", "ij"):
+        raise ValueError(f'torch.meshgrid: indexing must be one of "xy" or "ij", but received: {indexing}')
+    return torch.meshgrid(*arrays, indexing=indexing) if arrays else ()
 
 
 __all__ = ['asarray', 'result_type', 'can_cast',
diff --git a/tests/test_torch.py b/tests/test_torch.py
index b064a46d..3d6ebc46 100644
--- a/tests/test_torch.py
+++ b/tests/test_torch.py
@@ -115,7 +115,7 @@ def apply_clip_compat(a):
 
 
 def test_meshgrid():
-    """Verify that array_api_compat.torch.meshgrid defaults to indexing='xy'."""
+    """Verify that array_api_compat.torch.meshgrid defaults to indexing='xy', and supports passing no arrays."""
 
     x, y = xp.asarray([1, 2]), xp.asarray([4])
 
@@ -142,6 +142,8 @@ def test_meshgrid():
     assert Y.shape == Y_ij.shape
     assert xp.all(Y == Y_ij)
 
+    assert not xp.meshgrid()
+
 
 def test_argsort_stable():
     """Verify that argsort defaults to a stable sort."""