diff --git a/litellm/cost_calculator.py b/litellm/cost_calculator.py
index 9cbbcafb569..6007ac70a54 100644
--- a/litellm/cost_calculator.py
+++ b/litellm/cost_calculator.py
@@ -1503,7 +1503,7 @@ def _response_time_ms_for_cost(
 def _model_is_none_error(completion_response_text: str, litellm_logging_obj: LitellmLoggingObject | None) -> ValueError:
     message: Final = "Model is None and does not exist in passed completion_response."
     model_call_details: Final = {} if litellm_logging_obj is None else litellm_logging_obj.model_call_details
-    if should_redact_message_logging(model_call_details):
+    if should_redact_message_logging(model_call_details) or model_call_details.get("query_image") is not None:
         return ValueError(message)
     return ValueError(f"{message} Passed completion_response={completion_response_text}, model=None")
 
diff --git a/tests/unit/test_cost_calculator.py b/tests/unit/test_cost_calculator.py
index 69fb81c6d3e..7a5ca1d7eb9 100644
--- a/tests/unit/test_cost_calculator.py
+++ b/tests/unit/test_cost_calculator.py
@@ -10270,14 +10270,37 @@ def test_bedrock_registered_cache_prices_preserve_dynamic_threshold_rates(
     assert entry[1][tier_field] == (tier_override if tier_override is not None else 0.007)
 
 
-@pytest.mark.parametrize("message_logging_off", [True, False])
-def test_cost_failure_for_an_unpriced_response_echoes_the_response_only_with_message_logging_on(
-    message_logging_off: bool, monkeypatch: pytest.MonkeyPatch
+@pytest.mark.parametrize(
+    ("message_logging_off", "query_image", "echoes_response"),
+    [
+        (True, None, False),
+        (False, None, True),
+        (False, {"type": "base64", "media_type": "image/jpeg", "data": "cXVlcnk="}, False),
+    ],
+)
+def test_cost_failure_for_an_unpriced_response_echoes_only_a_text_search_response_with_message_logging_on(
+    message_logging_off: bool,
+    query_image: Mapping[str, str] | None,
+    echoes_response: bool,
+    monkeypatch: pytest.MonkeyPatch,
 ) -> None:
     monkeypatch.setattr(litellm, "turn_off_message_logging", message_logging_off)
     image_data: Final = "c2VjcmV0LWltYWdlLWJ5dGVz"
+    logging_obj: Final = Logging(
+        model="",
+        messages=[],
+        stream=False,
+        call_type="avector_store_search",
+        start_time=datetime.datetime.now(),
+        litellm_call_id="unpriced-search",
+        function_id="f",
+    )
+    logging_obj.model_call_details["query_image"] = query_image
 
     with pytest.raises(ValueError, match="Model is None") as exc_info:
-        completion_cost(completion_response={"data": [{"content": [{"source": {"data": image_data}}]}]})
+        completion_cost(
+            completion_response={"data": [{"content": [{"source": {"data": image_data}}]}]},
+            litellm_logging_obj=logging_obj,
+        )
 
-    assert (image_data in str(exc_info.value)) is not message_logging_off
+    assert (image_data in str(exc_info.value)) is echoes_response