diff --git a/litellm/tests/test_router_get_deployments.py b/litellm/tests/test_router_get_deployments.py
index 0a0fcee6228..62630d7e775 100644
--- a/litellm/tests/test_router_get_deployments.py
+++ b/litellm/tests/test_router_get_deployments.py
@@ -375,3 +375,76 @@ def test_model_group_aliases():
 
 
 # test_model_group_aliases()
+
+
+def test_usage_based_routing():
+    """
+    in this test we, have a model group with two models in it, model-a and model-b.
+    Then at some point, we exceed the TPM limit (set in the litellm_params)
+    for model-a only; but for model-b we are still under the limit
+    """
+    try:
+
+        def get_azure_params(deployment_name: str):
+            params = {
+                "model": f"azure/{deployment_name}",
+                "api_key": os.environ["AZURE_API_KEY"],
+                "api_version": os.environ["AZURE_API_VERSION"],
+                "api_base": os.environ["AZURE_API_BASE"],
+            }
+            return params
+
+        model_list = [
+            {
+                "model_name": "azure/gpt-4",
+                "litellm_params": get_azure_params("chatgpt-low-tpm"),
+                "tpm": 100,
+            },
+            {
+                "model_name": "azure/gpt-4",
+                "litellm_params": get_azure_params("chatgpt-high-tpm"),
+                "tpm": 1000,
+            },
+        ]
+
+        router = Router(
+            model_list=model_list,
+            set_verbose=True,
+            debug_level="DEBUG",
+            routing_strategy="usage-based-routing",
+            redis_host=os.environ["REDIS_HOST"],
+            redis_port=os.environ["REDIS_PORT"],
+        )
+
+        messages = [
+            {"content": "Tell me a joke.", "role": "user"},
+        ]
+
+        selection_counts = defaultdict(int)
+        for _ in range(25):
+            response = router.completion(
+                model="azure/gpt-4",
+                messages=messages,
+                timeout=5,
+                mock_response="good morning",
+            )
+
+            # print(response)
+
+            selection_counts[response["model"]] += 1
+
+        print(selection_counts)
+
+        total_requests = sum(selection_counts.values())
+
+        # Assert that 'chatgpt-low-tpm' has more than 2 requests
+        assert (
+            selection_counts["chatgpt-low-tpm"] > 2
+        ), f"Assertion failed: 'chatgpt-low-tpm' does not have more than 2 request in the weighted load balancer. Selection counts {selection_counts}"
+
+        # Assert that 'chatgpt-high-tpm' has about 80% of the total requests
+        assert (
+            selection_counts["chatgpt-high-tpm"] / total_requests > 0.8
+        ), f"Assertion failed: 'chatgpt-high-tpm' does not have about 80% of the total requests in the weighted load balancer. Selection counts {selection_counts}"
+    except Exception as e:
+        pytest.fail(f"Error occurred: {e}")