diff --git a/litellm/proxy/management_endpoints/model_management_endpoints.py b/litellm/proxy/management_endpoints/model_management_endpoints.py
index b8e87acecd0..a247fc1672c 100644
--- a/litellm/proxy/management_endpoints/model_management_endpoints.py
+++ b/litellm/proxy/management_endpoints/model_management_endpoints.py
@@ -919,6 +919,9 @@ def update_db_model(db_model: Deployment, updated_patch: updateDeployment) -> Pr
                 )
             )
         )
+        for k in echoed_fields:
+            if k in merged_model_info and merged_model_info[k] != incoming_model_info[k]:
+                del merged_model_info[k]
 
     # Honor explicit-null clears LAST, after both merges, so a model_info blob a client
     # passes through cannot silently undo a litellm_params clear via .update().
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 bca0c2cfeab..38718e5752c 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
@@ -4066,6 +4066,30 @@ class TestModelInfoCostMapEchoFilter:
         assert info["mode"] == entry["mode"]
         assert "max_input_tokens" not in info
 
+    def test_resetting_an_override_to_the_cost_map_value_removes_it(self):
+        import litellm
+
+        from litellm.proxy.management_endpoints.model_management_endpoints import update_db_model
+        from litellm.types.router import Deployment, LiteLLM_Params, ModelInfo
+
+        entry = litellm.get_model_info("gpt-5.6")
+        db_model = Deployment(
+            model_name="gpt-5.6",
+            litellm_params=LiteLLM_Params(model="openai/gpt-5.6"),
+            model_info=ModelInfo(id="dep-echo-4", mode="chat", max_input_tokens=2048),
+        )
+        echo = {**entry, "id": "dep-echo-4", "db_model": True, "access_groups": ["staging"]}
+
+        result = update_db_model(
+            db_model=db_model,
+            updated_patch=updateDeployment(model_info=ModelInfo(**echo)),
+        )
+
+        info = json.loads(result["model_info"])
+        assert "max_input_tokens" not in info
+        assert info["mode"] == "chat"
+        assert info["access_groups"] == ["staging"]
+
 
 class TestUpdateDBModelClearCacheControlInjectionPoints:
     def test_explicit_null_removes_stored_injection_points(self):