diff --git a/tests/test_litellm/test_muse_spark_1_2_model_metadata.py b/tests/test_litellm/test_muse_spark_1_2_model_metadata.py
index 81ef96f9b7a..dcce92b0c17 100644
--- a/tests/test_litellm/test_muse_spark_1_2_model_metadata.py
+++ b/tests/test_litellm/test_muse_spark_1_2_model_metadata.py
@@ -3,6 +3,7 @@ from pathlib import Path
 
 import pytest
 
+import litellm
 from litellm.cost_calculator import cost_per_token
 from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider
 
@@ -20,6 +21,21 @@ def _load_cost_map(filename: str = "model_prices_and_context_window.json") -> di
         return json.load(f)
 
 
+@pytest.fixture
+def local_model_cost_map(monkeypatch):
+    """Force the bundled backup cost map so assertions don't depend on the
+    network-fetched ``main`` copy (which lags this branch until merge)."""
+    original_model_cost = litellm.model_cost
+    monkeypatch.setenv("LITELLM_LOCAL_MODEL_COST_MAP", "True")
+    litellm.model_cost = litellm.get_model_cost_map(url="")
+    litellm.get_model_info.cache_clear()
+    try:
+        yield
+    finally:
+        litellm.model_cost = original_model_cost
+        litellm.get_model_info.cache_clear()
+
+
 @pytest.mark.parametrize("model, input_cost, cached_cost, output_cost", PRICING)
 def test_muse_spark_1_2_model_info(model: str, input_cost: float, cached_cost: float, output_cost: float):
     info = _load_cost_map().get(model)
@@ -54,7 +70,9 @@ def test_muse_spark_1_2_model_info(model: str, input_cost: float, cached_cost: f
 
 
 @pytest.mark.parametrize("model, input_cost, cached_cost, output_cost", PRICING)
-def test_muse_spark_1_2_cost_per_token(model: str, input_cost: float, cached_cost: float, output_cost: float):
+def test_muse_spark_1_2_cost_per_token(
+    local_model_cost_map, model: str, input_cost: float, cached_cost: float, output_cost: float
+):
     prompt_cost, completion_cost = cost_per_token(model=model, prompt_tokens=1000, completion_tokens=500)
 
     assert prompt_cost == pytest.approx(1000 * input_cost)