diff --git a/litellm/tests/test_key_generate_prisma.py b/litellm/tests/test_key_generate_prisma.py
index 89d4f4d3eb..1f5507d3f9 100644
--- a/litellm/tests/test_key_generate_prisma.py
+++ b/litellm/tests/test_key_generate_prisma.py
@@ -1101,6 +1101,116 @@ def test_call_with_key_over_budget(prisma_client):
         print(vars(e))
 
 
+def test_call_with_key_over_model_budget(prisma_client):
+    # 12. Make a call with a key over budget, expect to fail
+    setattr(litellm.proxy.proxy_server, "prisma_client", prisma_client)
+    setattr(litellm.proxy.proxy_server, "master_key", "sk-1234")
+    try:
+
+        async def test():
+            await litellm.proxy.proxy_server.prisma_client.connect()
+
+            # set budget for chatgpt-v-2 to 0.000001, expect the next request to fail
+            request = GenerateKeyRequest(
+                max_budget=1000,
+                model_max_budget={
+                    "chatgpt-v-2": 0.000001,
+                },
+                metadata={"user_api_key": 0.0001},
+            )
+            key = await generate_key_fn(request)
+            print(key)
+
+            generated_key = key.key
+            user_id = key.user_id
+            bearer_token = "Bearer " + generated_key
+
+            request = Request(scope={"type": "http"})
+            request._url = URL(url="/chat/completions")
+
+            async def return_body():
+                return b'{"model": "chatgpt-v-2"}'
+
+            request.body = return_body
+
+            # use generated key to auth in
+            result = await user_api_key_auth(request=request, api_key=bearer_token)
+            print("result from user auth with new key", result)
+
+            # update spend using track_cost callback, make 2nd request, it should fail
+            from litellm.proxy.proxy_server import (
+                _PROXY_track_cost_callback as track_cost_callback,
+            )
+            from litellm import ModelResponse, Choices, Message, Usage
+            from litellm.caching import Cache
+
+            litellm.cache = Cache()
+            import time
+
+            request_id = f"chatcmpl-e41836bb-bb8b-4df2-8e70-8f3e160155ac{time.time()}"
+
+            resp = ModelResponse(
+                id=request_id,
+                choices=[
+                    Choices(
+                        finish_reason=None,
+                        index=0,
+                        message=Message(
+                            content=" Sure! Here is a short poem about the sky:\n\nA canvas of blue, a",
+                            role="assistant",
+                        ),
+                    )
+                ],
+                model="gpt-35-turbo",  # azure always has model written like this
+                usage=Usage(prompt_tokens=210, completion_tokens=200, total_tokens=410),
+            )
+            await track_cost_callback(
+                kwargs={
+                    "model": "chatgpt-v-2",
+                    "stream": False,
+                    "litellm_params": {
+                        "metadata": {
+                            "user_api_key": hash_token(generated_key),
+                            "user_api_key_user_id": user_id,
+                        }
+                    },
+                    "response_cost": 0.00002,
+                },
+                completion_response=resp,
+                start_time=datetime.now(),
+                end_time=datetime.now(),
+            )
+            await asyncio.sleep(10)
+            # test spend_log was written and we can read it
+            spend_logs = await view_spend_logs(request_id=request_id)
+
+            print("read spend logs", spend_logs)
+            assert len(spend_logs) == 1
+
+            spend_log = spend_logs[0]
+
+            assert spend_log.request_id == request_id
+            assert spend_log.spend == float("2e-05")
+            assert spend_log.model == "chatgpt-v-2"
+            assert (
+                spend_log.cache_key
+                == "a61ae14fe4a8b8014a61e6ae01a100c8bc6770ac37c293242afed954bc69207d"
+            )
+
+            # use generated key to auth in
+            result = await user_api_key_auth(request=request, api_key=bearer_token)
+            print("result from user auth with new key", result)
+            pytest.fail(f"This should have failed!. They key crossed it's budget")
+
+        asyncio.run(test())
+    except Exception as e:
+        # print(f"Error - {str(e)}")
+        traceback.print_exc()
+        error_detail = e.message
+        assert "Authentication Error, ExceededModelBudget:" in error_detail
+        print(vars(e))
+
+
 @pytest.mark.asyncio()
 async def test_call_with_key_never_over_budget(prisma_client):
     # Make a call with a key with budget=None, it should never fail