diff --git a/tests/test_litellm/proxy/test_proxy_utils.py b/tests/test_litellm/proxy/test_proxy_utils.py
index a79e0798e29..25f4886c6f9 100644
--- a/tests/test_litellm/proxy/test_proxy_utils.py
+++ b/tests/test_litellm/proxy/test_proxy_utils.py
@@ -2243,32 +2243,27 @@ def test_create_model_info_response_resolves_mode_through_deployment_model():
         {"team-embeddings": {"model": "my-embeddings", "hidden": False}},
     ],
 )
-def test_create_model_info_response_resolves_model_group_alias_to_target(model_group_alias):
+def test_create_model_info_response_resolves_model_group_alias_to_target(model_group_alias, local_model_cost_map):
     """A `model_group_alias` row must report the metadata of the group it points at,
     not the cost-map generalization or nothing that the alias name resolves to."""
     from litellm import Router
 
-    saved_model_cost = dict(litellm.model_cost)
-    try:
-        router = Router(
-            model_list=[
-                {
-                    "model_name": "my-embeddings",
-                    "litellm_params": {"model": "openai/text-embedding-3-small"},
-                }
-            ],
-            model_group_alias=model_group_alias,
-        )
+    router = Router(
+        model_list=[
+            {
+                "model_name": "my-embeddings",
+                "litellm_params": {"model": "openai/text-embedding-3-small"},
+            }
+        ],
+        model_group_alias=model_group_alias,
+    )
 
-        alias_response = create_model_info_response(
-            model_id="team-embeddings", provider="openai", llm_router=router
-        )
-        target_response = create_model_info_response(
-            model_id="my-embeddings", provider="openai", llm_router=router
-        )
-    finally:
-        litellm.model_cost.clear()
-        litellm.model_cost.update(saved_model_cost)
+    alias_response = create_model_info_response(
+        model_id="team-embeddings", provider="openai", llm_router=router
+    )
+    target_response = create_model_info_response(
+        model_id="my-embeddings", provider="openai", llm_router=router
+    )
 
     assert alias_response["id"] == "team-embeddings"
     for field in ("mode", "max_input_tokens", "max_output_tokens"):