diff --git a/tests/test_litellm/proxy/pass_through_endpoints/test_llm_pass_through_endpoints.py b/tests/test_litellm/proxy/pass_through_endpoints/test_llm_pass_through_endpoints.py
index c7839584024..d52aa43be05 100644
--- a/tests/test_litellm/proxy/pass_through_endpoints/test_llm_pass_through_endpoints.py
+++ b/tests/test_litellm/proxy/pass_through_endpoints/test_llm_pass_through_endpoints.py
@@ -1012,6 +1012,62 @@ class TestVertexAIPassThroughHandler:
         assert result["kwargs"].get("custom_llm_provider") == "vertex_ai"
         mock_completion_cost.assert_called_once()
 
+    def test_vertex_passthrough_handler_embed_content_google_ai_studio_url(self):
+        """
+        Test that _handle_embed_content_response sets custom_llm_provider=gemini
+        when the URL is a generativelanguage.googleapis.com (Google AI Studio) endpoint.
+        """
+        import datetime
+        from unittest.mock import Mock, patch
+
+        from litellm.litellm_core_utils.litellm_logging import (
+            Logging as LiteLLMLoggingObj,
+        )
+        from litellm.proxy.pass_through_endpoints.llm_provider_handlers.vertex_passthrough_logging_handler import (
+            VertexPassthroughLoggingHandler,
+        )
+
+        embed_content_response_data = {
+            "embedding": {
+                "values": [0.1, 0.2, 0.3, 0.4, 0.5],
+            }
+        }
+
+        mock_httpx_response = Mock()
+        mock_httpx_response.json.return_value = embed_content_response_data
+        mock_httpx_response.status_code = 200
+
+        mock_logging_obj = Mock(spec=LiteLLMLoggingObj)
+        mock_logging_obj.litellm_call_id = "test-call-id-gemini-studio"
+        mock_logging_obj.model_call_details = {}
+
+        # Google AI Studio URL (not Vertex AI)
+        url_route = "https://generativelanguage.googleapis.com/v1beta/models/gemini-embedding-2-preview:embedContent"
+
+        start_time = datetime.datetime.now()
+        end_time = datetime.datetime.now()
+
+        with patch("litellm.completion_cost") as mock_completion_cost:
+            mock_completion_cost.return_value = 0.0001
+
+            result = VertexPassthroughLoggingHandler.vertex_passthrough_handler(
+                httpx_response=mock_httpx_response,
+                logging_obj=mock_logging_obj,
+                url_route=url_route,
+                result="test-result",
+                start_time=start_time,
+                end_time=end_time,
+                cache_hit=False,
+            )
+
+        assert result is not None
+        assert result["result"] is not None
+        assert result["kwargs"].get("custom_llm_provider") == "gemini", (
+            "Google AI Studio embedContent URLs must set custom_llm_provider=gemini, not vertex_ai"
+        )
+        assert result["kwargs"].get("model") == "gemini-embedding-2-preview"
+        mock_completion_cost.assert_called_once()
+
 
 class TestVertexAIDiscoveryPassThroughHandler:
     """