diff --git a/test/dynamo/test_aot_compile.py b/test/dynamo/test_aot_compile.py
index 12efbdab94f..c822569f624 100644
--- a/test/dynamo/test_aot_compile.py
+++ b/test/dynamo/test_aot_compile.py
@@ -84,6 +84,21 @@ class RepeatInterleaveModule(torch.nn.Module):
         return y_repeat
 
 
+class MultiModalMixin(torch.nn.Module):
+    def forward(self, x):
+        return super().forward(x)
+
+
+class TextModel(torch.nn.Module):
+    def forward(self, x):
+        return x + 1
+
+
+class TestVLLMModel(MultiModalMixin, TextModel):
+    def forward(self, x):
+        return super().forward(x)
+
+
 @torch._dynamo.config.patch("enable_aot_compile", True)
 @instantiate_parametrized_tests
 class TestAOTCompile(torch._inductor.test_case.TestCase):
@@ -532,6 +547,41 @@ from user code:
         )
         self.assertEqual(compiled_foo(inputs), foo(inputs))
 
+    def test_aot_compile_with_closure_save_and_load(self):
+        tmp = 2
+
+        def fn(x, y):
+            return x + y + tmp
+
+        compiled_fn = torch.compile(fn, fullgraph=True).aot_compile(
+            ((torch.randn(3, 4), torch.randn(3, 4)), {})
+        )
+        inputs = (torch.randn(3, 4), torch.randn(3, 4))
+        expected = fn(*inputs)
+        actual = compiled_fn(*inputs)
+        self.assertEqual(expected, actual)
+        compiled_fn.save_compiled_function(self.path())
+        with open(self.path(), "rb") as f:
+            compiled_fn = torch.compiler.load_compiled_function(f)
+        actual = compiled_fn(*inputs)
+        self.assertEqual(expected, actual)
+
+    def test_aot_compile_with_super_call(self):
+        fn = TestVLLMModel()
+        compiled_fn = torch.compile(fn.forward, fullgraph=True).aot_compile(
+            ((torch.randn(3, 4),), {})
+        )
+        self.assertEqual(fn.forward.__code__.co_freevars, ("__class__",))
+        inputs = (torch.randn(3, 4),)
+        expected = fn(*inputs)
+        actual = compiled_fn(fn, *inputs)
+        self.assertEqual(expected, actual)
+        compiled_fn.save_compiled_function(self.path())
+        with open(self.path(), "rb") as f:
+            compiled_fn = torch.compiler.load_compiled_function(f)
+        actual = compiled_fn(fn, *inputs)
+        self.assertEqual(expected, actual)
+
 
 if __name__ == "__main__":
     from torch._dynamo.test_case import run_tests
diff --git a/torch/_dynamo/aot_compile.py b/torch/_dynamo/aot_compile.py
index 26d012d4176..4b13d677f5a 100644
--- a/torch/_dynamo/aot_compile.py
+++ b/torch/_dynamo/aot_compile.py
@@ -1,6 +1,7 @@
 import dataclasses
 import importlib
 import inspect
+import io
 import logging
 import pickle
 import types
@@ -58,13 +59,40 @@ class CompileArtifacts:
         current_system.check_compatibility(self.system_info, self.device_type)
 
 
+class AOTCompilePickler(pickle.Pickler):
+    @classmethod
+    def _unpickle_cell(cls, val: Any) -> Any:
+        def _() -> Any:
+            return val
+
+        assert _.__closure__ is not None
+        return _.__closure__[0]
+
+    # pyrefly: ignore [bad-override]
+    def reducer_override(self, obj: Any) -> Any:
+        if isinstance(obj, type((lambda x: lambda: x)(0).__closure__[0])):  # type: ignore[index] # noqa: PLC3002
+            return type(self)._unpickle_cell, (obj.cell_contents,)
+        return NotImplemented
+
+
 @dataclass
 class AOTCompiledFunction:
     _artifacts: CompileArtifacts
     _guard_check_enabled: bool = True
 
     def guard_check(self, *args: Any, **kwargs: Any) -> bool:
-        f_locals = bind_locals(self._artifacts.signature, *args, **kwargs)
+        f_locals: dict[str, Any] = {}
+        if self._artifacts.closure:
+            assert self._artifacts.bytecode.co_freevars and len(
+                self._artifacts.closure
+            ) == len(self._artifacts.bytecode.co_freevars)
+            f_locals = {
+                name: cell.cell_contents
+                for name, cell in zip(
+                    self._artifacts.bytecode.co_freevars, self._artifacts.closure
+                )
+            }
+        f_locals.update(bind_locals(self._artifacts.signature, *args, **kwargs))
         assert self._artifacts.guard_manager is not None
         return self._artifacts.guard_manager.check(f_locals)
 
@@ -122,7 +150,10 @@ class AOTCompiledFunction:
             type(compiled_fn).serialize_compile_artifacts(compiled_fn),
         )
         state["original_code"] = SerializedCode.from_code_object(state["original_code"])
-        return pickle.dumps(state)
+        buf = io.BytesIO()
+        pickler = AOTCompilePickler(buf)
+        pickler.dump(state)
+        return buf.getvalue()
 
     @classmethod
     def deserialize(cls, data: bytes) -> "AOTCompiledFunction":