diff --git a/tests/test_gemini_service_tier.py b/tests/test_gemini_service_tier.py
deleted file mode 100644
index 22a25dc3e9a..00000000000
--- a/tests/test_gemini_service_tier.py
+++ /dev/null
@@ -1,112 +0,0 @@
-import pytest
-from unittest.mock import MagicMock
-from litellm.llms.vertex_ai.gemini.transformation import _transform_request_body
-from litellm.llms.vertex_ai.gemini.vertex_and_google_ai_studio_gemini import VertexGeminiConfig, ModelResponseIterator
-from litellm.types.utils import ModelResponse
-
-def test_gemini_service_tier_request_mapping():
-    """Test that default service_tier is mapped to standard for Gemini API, case-insensitively."""
-    messages = [{"role": "user", "content": "test"}]
-    litellm_params = {}
-
-    # Test default -> standard
-    optional_params = {"service_tier": "default"}
-    result = _transform_request_body(
-        messages=messages,
-        model="gemini-2.5-pro",
-        optional_params=optional_params,
-        custom_llm_provider="gemini",
-        litellm_params=litellm_params,
-        cached_content=None,
-    )
-    assert result["serviceTier"] == "standard"
-
-    # Test DEFAULT -> standard
-    optional_params = {"service_tier": "DEFAULT"}
-    result = _transform_request_body(
-        messages=messages,
-        model="gemini-2.5-pro",
-        optional_params=optional_params,
-        custom_llm_provider="gemini",
-        litellm_params=litellm_params,
-        cached_content=None,
-    )
-    assert result["serviceTier"] == "standard"
-
-    # Test flex -> flex
-    optional_params = {"service_tier": "FLEX"}
-    result = _transform_request_body(
-        messages=messages,
-        model="gemini-2.5-pro",
-        optional_params=optional_params,
-        custom_llm_provider="gemini",
-        litellm_params=litellm_params,
-        cached_content=None,
-    )
-    assert result["serviceTier"] == "flex"
-
-def test_gemini_service_tier_response_mapping():
-    """Test that standard service_tier is mapped back to default for Gemini API, case-insensitively."""
-    config = VertexGeminiConfig()
-    raw_response = MagicMock()
-    raw_response.headers = {"x-gemini-service-tier": "STANDARD"}
-    
-    logging_obj = MagicMock()
-    logging_obj.custom_llm_provider = "gemini"
-
-    completion_response = {
-        "candidates": [{"content": {"parts": [{"text": "hi"}], "role": "model"}, "finishReason": "STOP"}],
-        "usageMetadata": {"promptTokenCount": 1, "candidatesTokenCount": 1, "totalTokenCount": 2}
-    }
-
-    result = config._transform_google_generate_content_to_openai_model_response(
-        completion_response=completion_response,
-        model_response=ModelResponse(),
-        model="gemini-pro",
-        logging_obj=logging_obj,
-        raw_response=raw_response
-    )
-
-    assert result.service_tier == "default"
-
-    # Test with lowercase standard
-    raw_response.headers = {"x-gemini-service-tier": "standard"}
-    result = config._transform_google_generate_content_to_openai_model_response(
-        completion_response=completion_response,
-        model_response=ModelResponse(),
-        model="gemini-pro",
-        logging_obj=logging_obj,
-        raw_response=raw_response
-    )
-    assert result.service_tier == "default"
-
-    # Test with flex -> flex
-    raw_response.headers = {"x-gemini-service-tier": "FLEX"}
-    result = config._transform_google_generate_content_to_openai_model_response(
-        completion_response=completion_response,
-        model_response=ModelResponse(),
-        model="gemini-pro",
-        logging_obj=logging_obj,
-        raw_response=raw_response
-    )
-    assert result.service_tier == "flex"
-
-def test_gemini_service_tier_streaming_response_mapping():
-    """Test streaming response mapping."""
-    logging_obj = MagicMock()
-    logging_obj.custom_llm_provider = "gemini"
-
-    iterator = ModelResponseIterator(
-        streaming_response=[],
-        sync_stream=True,
-        logging_obj=logging_obj,
-        response_headers={"x-gemini-service-tier": "STANDARD"}
-    )
-
-    chunk = {
-        "candidates": [{"content": {"parts": [{"text": "hi"}]}}],
-        "usageMetadata": {"promptTokenCount": 1, "candidatesTokenCount": 1, "totalTokenCount": 2}
-    }
-
-    result = iterator.chunk_parser(chunk)
-    assert result.service_tier == "default"