diff --git a/litellm/proxy/common_request_processing.py b/litellm/proxy/common_request_processing.py
index 315fbcba310..b833eeaefda 100644
--- a/litellm/proxy/common_request_processing.py
+++ b/litellm/proxy/common_request_processing.py
@@ -3165,6 +3165,8 @@ class ProxyBaseLLMRequestProcessing:
     ):
         """Raises ProxyException (OpenAI API compatible) if an exception is raised"""
         _log_llm_api_exception(e)
+        # Capture before post_call_failure_hook pops it from the request data
+        _litellm_logging_obj: Final[LiteLLMLoggingObj | None] = self.data.get("litellm_logging_obj", None)
         # Allow callbacks to transform the error response
         transformed_exception: Final = await proxy_logging_obj.post_call_failure_hook(
             user_api_key_dict=user_api_key_dict,
@@ -3184,7 +3186,6 @@ class ProxyBaseLLMRequestProcessing:
         timeout: Final = getattr(
             e, "timeout", None
         )  # returns the timeout set by the wrapper. Used for testing if model-specific timeout are set correctly
-        _litellm_logging_obj: Final[LiteLLMLoggingObj | None] = self.data.get("litellm_logging_obj", None)
 
         # Attempt to get model_id from logging object
         #
@@ -3789,10 +3790,12 @@ class ProxyBaseLLMRequestProcessing:
                         model_info = metadata.get("model_info") or {}
                         model_id = model_info.get("id", None)
 
-        # 3. Final fallback to self.data["litellm_metadata"] (for routes like /v1/responses that populate data before error)
+        # 3. Final fallback to request metadata (the router stamps the selected
+        # deployment's model_info there; "litellm_metadata" covers routes like /v1/responses)
         if not model_id:
-            litellm_metadata: Final = self.data.get("litellm_metadata", {}) or {}
-            model_info = litellm_metadata.get("model_info", {}) or {}
-            model_id = model_info.get("id", None)
+            fallback_model_infos: Final = (
+                (self.data.get(key) or {}).get("model_info") or {} for key in ("metadata", "litellm_metadata")
+            )
+            model_id = next((info.get("id") for info in fallback_model_infos if info.get("id")), None)
 
         return model_id
diff --git a/tests/test_litellm/proxy/test_common_request_processing.py b/tests/test_litellm/proxy/test_common_request_processing.py
index 64318778bc2..4e2a14c965c 100644
--- a/tests/test_litellm/proxy/test_common_request_processing.py
+++ b/tests/test_litellm/proxy/test_common_request_processing.py
@@ -2855,6 +2855,42 @@ class TestHandleLLMApiExceptionDictDetail:
         proxy_exc = await self._invoke(exc)
         assert proxy_exc.code == "500"
 
+    async def test_error_headers_keep_model_id_after_failure_hook_pops_logging_obj(self):
+        """post_call_failure_hook pops litellm_logging_obj from the request data;
+        the exception handler must capture it first so error responses (e.g. 429s
+        on /v1/embeddings) still carry x-litellm-model-id. Regression for the
+        embeddings deployment-id report (2026-08-19)."""
+        from litellm.proxy._types import ProxyException, UserAPIKeyAuth
+
+        logging_obj = MagicMock()
+        logging_obj.litellm_call_id = "call-abc"
+        logging_obj.litellm_params = {"model_info": {"id": "my-embed-deployment-id"}}
+        data = {"litellm_logging_obj": logging_obj}
+        processor = ProxyBaseLLMRequestProcessing(data=data)
+
+        async def popping_hook(user_api_key_dict, original_exception, request_data):
+            request_data.pop("litellm_logging_obj", None)
+            return None
+
+        proxy_logging_obj = MagicMock()
+        proxy_logging_obj.post_call_failure_hook = AsyncMock(side_effect=popping_hook)
+        proxy_logging_obj.post_call_response_headers_hook = AsyncMock(return_value={})
+
+        with pytest.raises(ProxyException) as exc_info:
+            await processor._handle_llm_api_exception(
+                e=ValueError("provider 429"),
+                user_api_key_dict=UserAPIKeyAuth(api_key="sk-test"),
+                proxy_logging_obj=proxy_logging_obj,
+            )
+        assert exc_info.value.headers["x-litellm-model-id"] == "my-embed-deployment-id"
+        assert exc_info.value.headers["x-litellm-call-id"] == "call-abc"
+
+    async def test_maybe_get_model_id_falls_back_to_request_metadata(self):
+        """The router stamps the selected deployment's model_info into the request
+        metadata; without a logging object that is the last place the id survives."""
+        processor = ProxyBaseLLMRequestProcessing(data={"metadata": {"model_info": {"id": "dep-from-metadata"}}})
+        assert processor.maybe_get_model_id(None) == "dep-from-metadata"
+
     async def test_already_normalized_proxy_exception_is_honored(self):
         """A ProxyException raised mid-request (e.g. a guardrail block) is already
         the OpenAI wire format. The funnel must re-raise it untouched instead of