diff --git a/litellm/litellm_core_utils/litellm_logging.py b/litellm/litellm_core_utils/litellm_logging.py
index fcc521cf6cf..e9342a765bc 100644
--- a/litellm/litellm_core_utils/litellm_logging.py
+++ b/litellm/litellm_core_utils/litellm_logging.py
@@ -2761,6 +2761,8 @@ class Logging(LiteLLMLoggingBaseClass):
     def carry_failed_attempt_usage(self) -> None:
         """Move what a failed earlier attempt stashed off the retry sharing this logging object, so the retry logs its
         own usage while the request's failure log still bills every attempt."""
+        if self._carry_parked_success():
+            return
         usage: Final = self._model_call_details_view.get("combined_usage_object")
         response_cost: Final = self._model_call_details_view.get("response_cost")
         billed_by_continuation: Final = self._stash_billed_by_continuation
@@ -2783,6 +2785,25 @@ class Logging(LiteLLMLoggingBaseClass):
             return
         self._failed_attempts_owed_on_success = (*self._failed_attempts_owed_on_success, attempt)
 
+    def _carry_parked_success(self) -> bool:
+        """A billed response the router discards after its success log was parked (a safeguard refusal it falls
+        back from) is owed by whichever attempt ends the request, instead of being logged in its place."""
+        parked: Final = self.deferred_success_result
+        if parked is None or self.enqueue_deferred_logging is None:
+            return False
+        self.deferred_success_result = None
+        self.enqueue_deferred_logging = None
+        self._async_success_scheduled = False
+        served: Final = self.served_round(parked[0])
+        if served is None:
+            return True
+        self.model_call_details["failed_attempts_usage"] = (
+            *self.model_call_details.get("failed_attempts_usage", ()),
+            served,
+        )
+        self._failed_attempts_owed_on_success = (*self._failed_attempts_owed_on_success, served)
+        return True
+
     def mark_stash_billed_by_continuation(self) -> None:
         self._stash_billed_by_continuation = True
 
diff --git a/tests/unit/litellm_core_utils/test_litellm_logging.py b/tests/unit/litellm_core_utils/test_litellm_logging.py
index 58fd03e0cbc..2f5edbd6350 100644
--- a/tests/unit/litellm_core_utils/test_litellm_logging.py
+++ b/tests/unit/litellm_core_utils/test_litellm_logging.py
@@ -14690,3 +14690,66 @@ def test_standard_logging_payload_reports_the_per_call_prices_the_request_was_bi
     model_map_value: Final = payload["model_map_information"]["model_map_value"]
     assert model_map_value is not None
     assert (model_map_value["input_cost_per_token"], model_map_value["output_cost_per_token"]) == (3e-06, 7e-06)
+
+
+@pytest.mark.asyncio
+async def test_a_response_discarded_after_its_success_log_was_parked_is_billed_once_on_the_serving_attempt(
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    from litellm.litellm_core_utils.logging_worker import GLOBAL_LOGGING_WORKER
+    from litellm.responses.streaming_iterator import drain_logging_tasks
+    from litellm.utils import _schedule_async_success_logging
+
+    class Recorder(CustomLogger):
+        def __init__(self) -> None:
+            super().__init__()
+            self.events: tuple[tuple[dict[str, object], object], ...] = ()
+
+        async def async_log_success_event(
+            self, kwargs: dict[str, object], response_obj: object, start_time: object, end_time: object
+        ) -> None:
+            self.events = (*self.events, (dict(kwargs), response_obj))
+
+    recorder: Final = Recorder()
+    monkeypatch.setattr(litellm, "_async_success_callback", [])
+    monkeypatch.setattr(litellm, "success_callback", [])
+    logging_obj: Final = LitellmLogging(
+        model="gpt-4o-mini",
+        messages=[{"role": "user", "content": "hi"}],
+        stream=False,
+        call_type="acompletion",
+        start_time=time.time(),
+        litellm_call_id="refused-then-served",
+        function_id="refused-then-served",
+        dynamic_async_success_callbacks=[recorder],
+    )
+    logging_obj.update_environment_variables(
+        model="gpt-4o-mini", user="", optional_params={}, litellm_params={"metadata": {}}, custom_llm_provider="openai"
+    )
+    logging_obj.defer_async_logging = True
+    refused: Final = ModelResponse(
+        id="refused", model="gpt-4o-mini", usage=Usage(prompt_tokens=1000, completion_tokens=500, total_tokens=1500)
+    )
+    served: Final = ModelResponse(
+        id="served", model="gpt-4o-mini", usage=Usage(prompt_tokens=10, completion_tokens=5, total_tokens=15)
+    )
+    now: Final = datetime.datetime.now()
+
+    _schedule_async_success_logging(logging_obj, refused, now, now, is_completion_with_fallbacks=False)
+    logging_obj.carry_failed_attempt_usage()
+    _schedule_async_success_logging(logging_obj, served, now, now, is_completion_with_fallbacks=False)
+    prepared: Final = logging_obj.prepare_response_cost(served, now)
+    enqueue: Final = logging_obj.enqueue_deferred_logging
+    assert enqueue is not None
+    enqueue()
+    await drain_logging_tasks()
+    await GLOBAL_LOGGING_WORKER.flush()
+
+    both_attempts: Final = litellm.completion_cost(refused, model="gpt-4o-mini") + litellm.completion_cost(
+        served, model="gpt-4o-mini"
+    )
+    ((kwargs, response_obj),) = recorder.events
+    assert getattr(response_obj, "id", None) == "served"
+    assert kwargs["response_cost"] == pytest.approx(both_attempts)
+    assert prepared is not None
+    assert prepared.amount == pytest.approx(both_attempts)