diff --git a/litellm/proxy/management_endpoints/model_management_endpoints.py b/litellm/proxy/management_endpoints/model_management_endpoints.py
index f705c296cdc..78a5978b86f 100644
--- a/litellm/proxy/management_endpoints/model_management_endpoints.py
+++ b/litellm/proxy/management_endpoints/model_management_endpoints.py
@@ -877,7 +877,9 @@ def _ptu_priced_deployment(model_params: Deployment) -> Deployment:
 
 def _cost_map_entry(db_model: Deployment, incoming_model_info: Mapping[str, object]) -> Mapping[str, object]:
     base_model: Final = incoming_model_info.get("base_model")
-    lookup: Final = base_model if isinstance(base_model, str) else db_model.litellm_params.model
+    lookup: Final = base_model if isinstance(base_model, str) else _decrypted_model(db_model.litellm_params.model)
+    if lookup is None:
+        return MappingProxyType({})
     try:
         return MappingProxyType(dict(litellm.get_model_info(model=lookup)))
     except Exception:
diff --git a/tests/test_litellm/proxy/management_endpoints/test_model_management_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_model_management_endpoints.py
index 604c68d7134..bf773239ef3 100644
--- a/tests/test_litellm/proxy/management_endpoints/test_model_management_endpoints.py
+++ b/tests/test_litellm/proxy/management_endpoints/test_model_management_endpoints.py
@@ -4160,6 +4160,31 @@ class TestModelInfoCostMapEchoFilter:
         assert not frozenset(info).intersection(frozenset(entry) - frozenset(("mode",)))
         assert info["base_model"] == "azure/gpt-5.6"
 
+    def test_encrypted_stored_model_is_decrypted_for_the_lookup(self, monkeypatch):
+        import litellm
+
+        from litellm.proxy.management_endpoints.model_management_endpoints import update_db_model
+        from litellm.types.router import Deployment, LiteLLM_Params, ModelInfo
+
+        monkeypatch.setenv("LITELLM_SALT_KEY", "sk-1234")
+        entry = litellm.get_model_info("openai/gpt-5.6")
+        db_model = Deployment(
+            model_name="gpt-5.6",
+            litellm_params=LiteLLM_Params(model=encrypt_value_helper(value="openai/gpt-5.6")),
+            model_info=ModelInfo(id="dep-echo-7", mode="chat"),
+        )
+        echo = {**entry, "id": "dep-echo-7", "db_model": True, "access_groups": ["prod"]}
+
+        result = update_db_model(
+            db_model=db_model,
+            updated_patch=updateDeployment(model_info=ModelInfo(**echo)),
+        )
+
+        info = json.loads(result["model_info"])
+        assert not frozenset(info).intersection(frozenset(entry) - frozenset(("mode",)))
+        assert info["mode"] == "chat"
+        assert info["access_groups"] == ["prod"]
+
 
 class TestUpdateDBModelClearCacheControlInjectionPoints:
     def test_explicit_null_removes_stored_injection_points(self):