diff --git a/litellm/router.py b/litellm/router.py
index 914a9f04a05..7fa5694c0ae 100644
--- a/litellm/router.py
+++ b/litellm/router.py
@@ -10053,8 +10053,8 @@ class Router:
             if len(team_ids) > 1:
                 raise litellm.BadRequestError(
                     message=(
-                        f"Team-scoped model name '{model}' is configured for multiple teams. "
-                        "Pass a team context or deployment ID to select one."
+                        f"Model name '{model}' matches deployments from multiple teams. "
+                        "Specify the deployment ID directly to disambiguate."
                     ),
                     model=model,
                     llm_provider="",
diff --git a/litellm/router_utils/common_utils.py b/litellm/router_utils/common_utils.py
index f1fa524871d..0583ccddd1e 100644
--- a/litellm/router_utils/common_utils.py
+++ b/litellm/router_utils/common_utils.py
@@ -6,6 +6,7 @@ from typing import TYPE_CHECKING, Dict, List, Optional, Union
 if TYPE_CHECKING:
     from litellm.types.llms.openai import OpenAIFileObject
 
+from litellm.exceptions import BadRequestError
 from litellm.types.router import CredentialLiteLLMParams
 from litellm._logging import verbose_logger
 
@@ -78,6 +79,25 @@ def filter_team_based_models(
         candidate_model_info = tuple(
             model_info for deployment in healthy_deployments for model_info in [deployment.get("model_info") or {}]
         )
+        team_ids = frozenset(
+            team_id
+            for model_info in candidate_model_info
+            for team_id in [model_info.get("team_id")]
+            if team_id is not None
+        )
+        if (
+            isinstance(requested_model, str)
+            and len(team_ids) > 1
+            and all(model_info.get("team_public_model_name") == requested_model for model_info in candidate_model_info)
+        ):
+            raise BadRequestError(
+                message=(
+                    f"Model name '{requested_model}' matches deployments from multiple teams. "
+                    "Specify the deployment ID directly to disambiguate."
+                ),
+                model=requested_model,
+                llm_provider="",
+            )
         if (
             isinstance(requested_model, str)
             and candidate_model_info
diff --git a/tests/test_litellm/proxy/test_route_llm_request.py b/tests/test_litellm/proxy/test_route_llm_request.py
index f03e9d06fe6..2bd795fa745 100644
--- a/tests/test_litellm/proxy/test_route_llm_request.py
+++ b/tests/test_litellm/proxy/test_route_llm_request.py
@@ -167,6 +167,29 @@ async def test_route_request_proxy_admin_can_call_all_team_scoped_deployments_wi
             },
         )
     )
+    router.add_deployment(
+        Deployment(
+            model_name="team-azure",
+            litellm_params={
+                "model": "azure/gpt-4o",
+                "api_key": "fake",
+                "api_base": "https://other-legacy.example.openai.azure.com",
+                "api_version": "2024-02-15-preview",
+            },
+            model_info={
+                "id": "other-legacy-team-azure",
+                "team_id": "team-b",
+                "team_public_model_name": "team-azure",
+            },
+        )
+    )
+
+    with pytest.raises(litellm.BadRequestError, match="multiple teams"):
+        await router.async_get_healthy_deployments(
+            model="team-azure",
+            request_kwargs=data,
+        )
+
     router.add_deployment(
         Deployment(
             model_name="team-azure",