diff --git a/test/inductor/test_foreach_map.py b/test/inductor/test_foreach_map.py
new file mode 100644
index 000000000000..b789019829d1
--- /dev/null
+++ b/test/inductor/test_foreach_map.py
@@ -0,0 +1,14 @@
+import unittest
+import torch
+from torch._foreach import foreach_map
+
+class TestForeachMapMatmul(unittest.TestCase):
+    def test_foreach_map_with_torch_mm(self):
+        a_list = [torch.randn(3, 4) for _ in range(3)]
+        b_list = [torch.randn(4, 2) for _ in range(3)]
+
+        result = foreach_map(torch.mm, a_list, b_list)
+        expected = [torch.mm(a, b) for a, b in zip(a_list, b_list)]
+
+        for r, e in zip(result, expected):
+            self.assertTrue(torch.allclose(r, e), msg=f"Expected {e}, got {r}")
diff --git a/torch/_dynamo/polyfills/__init__.py b/torch/_dynamo/polyfills/__init__.py
index 6d467b215797..85d67f1b685a 100644
--- a/torch/_dynamo/polyfills/__init__.py
+++ b/torch/_dynamo/polyfills/__init__.py
@@ -318,6 +318,12 @@ def foreach_map_fn(*args):
     if not at_least_one_list:
         return op(*args[1:])
 
+    # Special handling for torch.mm
+    if op is torch.mm:
+        if len(new_args) != 2:
+            raise ValueError("torch.mm requires exactly two argument lists")
+        return [torch.mm(a, b) for a, b in zip(new_args[0], new_args[1])]
+
     out = []
     for unpacked in zip(*new_args):
         out.append(op(*unpacked))