diff --git a/llama_stack/apis/models/models.py b/llama_stack/apis/models/models.py
index ba1af944c..713dfa377 100644
--- a/llama_stack/apis/models/models.py
+++ b/llama_stack/apis/models/models.py
@@ -22,7 +22,7 @@ class CommonModelFields(BaseModel):
 
 
 class ModelType(Enum):
-    llm_model = "llm_model"
+    llm = "llm"
     embedding_model = "embedding_model"
 
 
@@ -40,14 +40,14 @@ class Model(CommonModelFields, Resource):
 
     model_config = ConfigDict(protected_namespaces=())
 
-    model_type: ModelType = Field(default=ModelType.llm_model)
+    model_type: ModelType = Field(default=ModelType.llm)
 
 
 class ModelInput(CommonModelFields):
     model_id: str
     provider_id: Optional[str] = None
     provider_model_id: Optional[str] = None
-    model_type: Optional[ModelType] = ModelType.llm_model
+    model_type: Optional[ModelType] = ModelType.llm
 
     model_config = ConfigDict(protected_namespaces=())
 
diff --git a/llama_stack/distribution/routers/routers.py b/llama_stack/distribution/routers/routers.py
index 2e182a6b8..51be318cb 100644
--- a/llama_stack/distribution/routers/routers.py
+++ b/llama_stack/distribution/routers/routers.py
@@ -168,7 +168,7 @@ class InferenceRouter(Inference):
         model = await self.routing_table.get_model(model_id)
         if model is None:
             raise ValueError(f"Model '{model_id}' not found")
-        if model.model_type == ModelType.llm_model:
+        if model.model_type == ModelType.llm:
             raise ValueError(
                 f"Model '{model_id}' is an LLM model and does not support embeddings"
             )
diff --git a/llama_stack/distribution/routers/routing_tables.py b/llama_stack/distribution/routers/routing_tables.py
index 9c24faf8d..bc3de8be0 100644
--- a/llama_stack/distribution/routers/routing_tables.py
+++ b/llama_stack/distribution/routers/routing_tables.py
@@ -224,7 +224,7 @@ class ModelsRoutingTable(CommonRoutingTableImpl, Models):
         if metadata is None:
             metadata = {}
         if model_type is None:
-            model_type = ModelType.llm_model
+            model_type = ModelType.llm
         if (
             "embedding_dimension" not in metadata
             and model_type == ModelType.embedding_model