diff --git a/tests/test_litellm/test_utils.py b/tests/test_litellm/test_utils.py
index cb114ffcf04..c23044393bd 100644
--- a/tests/test_litellm/test_utils.py
+++ b/tests/test_litellm/test_utils.py
@@ -4714,34 +4714,6 @@ class TestValidateEnvironmentTencent:
         assert "TENCENT_API_KEY" in result["missing_keys"]
 
 
-@pytest.mark.parametrize(
-    "model",
-    [
-        "vertex_ai/gemini-2.5-flash-image",
-        "vertex_ai/gemini-3-pro-image",
-        "vertex_ai/gemini-3-pro-image-preview",
-        "vertex_ai/gemini-3.1-flash-image",
-        "vertex_ai/gemini-3.1-flash-image-preview",
-        "gemini/gemini-2.5-flash-image",
-        "gemini/gemini-3-pro-image",
-        "gemini/gemini-3-pro-image-preview",
-        "gemini/gemini-3.1-flash-image",
-        "gemini/gemini-3.1-flash-image-preview",
-    ],
-)
-def test_gemini_image_models_do_not_support_reasoning(
-    model: str, local_model_cost_map: None
-) -> None:
-    assert model in litellm.model_cost, (
-        f"{model} is missing from the local model cost map. "
-        "Add its entry to litellm/model_prices_and_context_window_backup.json."
-    )
-    assert litellm.supports_reasoning(model) is False, (
-        f"{model} incorrectly classified as reasoning-capable. "
-        "Add 'supports_reasoning: false' to its model_cost entry."
-    )
-
-
 class TestVertexEmbeddingEncodingFormat:
     """vertex_ai/gemini embeddings must accept encoding_format="float" — it's
     the OpenAI SDK default and float lists are exactly what the vertex API
@@ -4790,3 +4762,31 @@ class TestVertexEmbeddingEncodingFormat:
             custom_llm_provider="vertex_ai",
         )
         assert optional_params.get("outputDimensionality") == 256
+
+
+@pytest.mark.parametrize(
+    "model",
+    [
+        "vertex_ai/gemini-2.5-flash-image",
+        "vertex_ai/gemini-3-pro-image",
+        "vertex_ai/gemini-3-pro-image-preview",
+        "vertex_ai/gemini-3.1-flash-image",
+        "vertex_ai/gemini-3.1-flash-image-preview",
+        "gemini/gemini-2.5-flash-image",
+        "gemini/gemini-3-pro-image",
+        "gemini/gemini-3-pro-image-preview",
+        "gemini/gemini-3.1-flash-image",
+        "gemini/gemini-3.1-flash-image-preview",
+    ],
+)
+def test_gemini_image_models_do_not_support_reasoning(
+    model: str, local_model_cost_map: None
+) -> None:
+    assert model in litellm.model_cost, (
+        f"{model} is missing from the local model cost map. "
+        "Add its entry to litellm/model_prices_and_context_window_backup.json."
+    )
+    assert litellm.supports_reasoning(model) is False, (
+        f"{model} incorrectly classified as reasoning-capable. "
+        "Add 'supports_reasoning: false' to its model_cost entry."
+    )