diff --git a/tests/python/relay/aot/aot_test_utils.py b/tests/python/relay/aot/aot_test_utils.py
index 9274c47b07c9..baa2397b2303 100644
--- a/tests/python/relay/aot/aot_test_utils.py
+++ b/tests/python/relay/aot/aot_test_utils.py
@@ -528,12 +528,8 @@ def compile_and_run(
 
         workspace_bytes += extract_main_workspace_size_bytes(base_path)
 
-        sanitized_names = []
         for key in model.inputs:
             sanitized_tensor_name = re.sub(r"\W", "_", key)
-            if sanitized_tensor_name in sanitized_names:
-                raise ValueError(f"Sanitized input tensor name clash: {sanitized_tensor_name}")
-            sanitized_names.append(sanitized_tensor_name)
             create_header_file(
                 f'{mangle_name(model.name, "input_data")}_{sanitized_tensor_name}',
                 model.inputs[key],
diff --git a/tests/python/relay/aot/test_crt_aot.py b/tests/python/relay/aot/test_crt_aot.py
index 86c6a958cb27..64000a9d56b3 100644
--- a/tests/python/relay/aot/test_crt_aot.py
+++ b/tests/python/relay/aot/test_crt_aot.py
@@ -503,10 +503,13 @@ def test_transpose(interface_api, use_unpacked_api, test_runner):
     )
 
 
-@parametrize_aot_options
-def test_name_sanitiser(interface_api, use_unpacked_api, test_runner):
+def test_name_sanitiser():
     """Test that input tensors with special characters in the name don't break compilation"""
 
+    interface_api = "c"
+    use_unpacked_api = True
+    test_runner = AOT_DEFAULT_RUNNER
+
     func = relay.var("input-x::2", "float32")
     ident = relay.Function([func], func)
     one = np.array(1.0, "float32")
@@ -522,10 +525,13 @@ def test_name_sanitiser(interface_api, use_unpacked_api, test_runner):
     )
 
 
-@parametrize_aot_options
-def test_name_sanitiser_name_clash(interface_api, use_unpacked_api, test_runner):
+def test_name_sanitiser_name_clash():
     """Test that 2 input tensors with names that clash once sanitized, generates an error"""
 
+    interface_api = "c"
+    use_unpacked_api = True
+    test_runner = AOT_DEFAULT_RUNNER
+
     dtype = "float32"
     x = relay.var("input::-1", shape=(10, 5), dtype=dtype)
     # Next 2 input tensor names will clash once sanitized.