diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json
index fa50b06f1..8778aa360 100644
--- a/litellm/model_prices_and_context_window_backup.json
+++ b/litellm/model_prices_and_context_window_backup.json
@@ -965,15 +965,15 @@
     },
     "dolphin": {
         "max_tokens": 4096,
-        "input_cost_per_token": 0.00002,
-        "output_cost_per_token": 0.00002,
+        "input_cost_per_token": 0.0000005,
+        "output_cost_per_token": 0.0000005,
         "litellm_provider": "nlp_cloud",
         "mode": "completion"
     },
     "chatdolphin": {
         "max_tokens": 4096,
-        "input_cost_per_token": 0.00002,
-        "output_cost_per_token": 0.00002,
+        "input_cost_per_token": 0.0000005,
+        "output_cost_per_token": 0.0000005,
         "litellm_provider": "nlp_cloud",
         "mode": "chat"
     },
diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index 545540422..c56339638 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -2259,8 +2259,13 @@ async def completion(
             response = await llm_router.atext_completion(
                 **data, specific_deployment=True
             )
-        else:  # router is not set
+        elif user_model is not None:  # `litellm --model <your-model-name>`
             response = await litellm.atext_completion(**data)
+        else:
+            raise HTTPException(
+                status_code=status.HTTP_400_BAD_REQUEST,
+                detail={"error": "Invalid model name passed in"},
+            )
 
         if hasattr(response, "_hidden_params"):
             model_id = response._hidden_params.get("model_id", None) or ""