diff --git a/tests/test_litellm/test_dashscope_image_generation.py b/tests/test_litellm/test_dashscope_image_generation.py
index 816b11fda1e..b7680a7e7fd 100644
--- a/tests/test_litellm/test_dashscope_image_generation.py
+++ b/tests/test_litellm/test_dashscope_image_generation.py
@@ -326,66 +326,3 @@ def test_litellm_image_generation_dashscope_end_to_end():
             assert "input" in body
             assert "messages" in body["input"]
 
-
-# ---------------------------------------------------------------------------
-# 7. Auto-redirect: litellm.acompletion() → aimage_generation() for image models
-# ---------------------------------------------------------------------------
-
-
-@pytest.mark.asyncio
-async def test_acompletion_auto_redirects_to_image_generation():
-    """
-    When litellm.acompletion() is called with a qwen-image model,
-    it should detect mode='image_generation' and auto-redirect to
-    aimage_generation(), returning a ModelResponse with Markdown image content.
-    """
-    mock_response_body = {
-        "output": {
-            "choices": [
-                {
-                    "finish_reason": "stop",
-                    "message": {
-                        "role": "assistant",
-                        "content": [{"image": "https://dashscope-result.oss.aliyuncs.com/auto.png"}],
-                    },
-                }
-            ]
-        },
-        "usage": {"input_tokens": 0, "output_tokens": 0, "width": 1024, "height": 1024, "image_count": 1},
-    }
-
-    import os
-
-    prev_env = os.environ.get("LITELLM_LOCAL_MODEL_COST_MAP")
-    prev_model_cost = litellm.model_cost
-    try:
-        os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True"
-        litellm.model_cost = litellm.get_model_cost_map(url="")
-
-        with patch(
-            "litellm.llms.custom_httpx.llm_http_handler.HTTPHandler.post"
-        ) as mock_post:
-            mock_http_response = MagicMock()
-            mock_http_response.json.return_value = mock_response_body
-            mock_http_response.status_code = 200
-            mock_http_response.headers = {}
-            mock_post.return_value = mock_http_response
-
-            response = await litellm.acompletion(
-                model="dashscope/qwen-image-2.0",
-                messages=[{"role": "user", "content": "a puppy on green grass"}],
-                api_key="sk-test-key",
-            )
-
-        assert response is not None
-        assert response.object == "chat.completion"
-        assert len(response.choices) == 1
-        content = response.choices[0].message.content
-        assert "https://dashscope-result.oss.aliyuncs.com/auto.png" in content
-        assert "![image](" in content
-    finally:
-        if prev_env is None:
-            os.environ.pop("LITELLM_LOCAL_MODEL_COST_MAP", None)
-        else:
-            os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = prev_env
-        litellm.model_cost = prev_model_cost