diff --git a/litellm/tests/test_router_batch_completion.py b/litellm/tests/test_router_batch_completion.py
index 82fe102e2..26329792e 100644
--- a/litellm/tests/test_router_batch_completion.py
+++ b/litellm/tests/test_router_batch_completion.py
@@ -150,3 +150,47 @@ async def test_batch_completion_fastest_response_streaming():
 
     async for chunk in response:
         ChatCompletionChunk.model_validate(chunk.model_dump(), strict=True)
+
+
+@pytest.mark.asyncio
+async def test_batch_completion_multiple_models_multiple_messages():
+    litellm.set_verbose = True
+
+    router = litellm.Router(
+        model_list=[
+            {
+                "model_name": "gpt-3.5-turbo",
+                "litellm_params": {
+                    "model": "gpt-3.5-turbo",
+                },
+            },
+            {
+                "model_name": "groq-llama",
+                "litellm_params": {
+                    "model": "groq/llama3-8b-8192",
+                },
+            },
+        ]
+    )
+
+    response = await router.abatch_completion(
+        models=["gpt-3.5-turbo", "groq-llama"],
+        messages=[
+            [{"role": "user", "content": "is litellm becoming a better product ?"}],
+            [{"role": "user", "content": "who is this"}],
+        ],
+        max_tokens=15,
+    )
+
+    print("response from batches =", response)
+    assert len(response) == 2
+    assert len(response[0]) == 2
+    assert isinstance(response[0][0], litellm.ModelResponse)
+
+    # models_in_responses = []
+    # for individual_response in response:
+    #     _model = individual_response["model"]
+    #     models_in_responses.append(_model)
+
+    # # assert both models are different
+    # assert models_in_responses[0] != models_in_responses[1]