diff --git a/litellm/litellm_core_utils/llm_cost_calc/tool_call_cost_tracking.py b/litellm/litellm_core_utils/llm_cost_calc/tool_call_cost_tracking.py
index eb9473438f1..3744be5bc79 100644
--- a/litellm/litellm_core_utils/llm_cost_calc/tool_call_cost_tracking.py
+++ b/litellm/litellm_core_utils/llm_cost_calc/tool_call_cost_tracking.py
@@ -311,22 +311,6 @@ class StandardBuiltInToolCostTracking:
             return Usage(server_tool_use=server_tool_use)
         return usage.model_copy(update={"server_tool_use": server_tool_use})
 
-    @staticmethod
-    def _usage_has_server_side_web_search_calls(usage: Usage | None) -> bool:
-        """True when usage.server_side_tool_usage_details.web_search_calls > 0."""
-        if usage is None:
-            return False
-        details = getattr(usage, "server_side_tool_usage_details", None)
-        if details is None:
-            return False
-        try:
-            web_search_calls = (
-                details.get("web_search_calls") if isinstance(details, dict) else getattr(details, "web_search_calls", None)
-            )
-            return int(web_search_calls or 0) > 0
-        except (TypeError, ValueError):
-            return False
-
     @staticmethod
     def response_object_includes_web_search_call(response_object: Any, usage: Usage | None = None) -> bool:
         """
@@ -344,8 +328,6 @@ class StandardBuiltInToolCostTracking:
 
         if get_anthropic_web_search_requests_from_response(response_object) is not None:
             return True
-        if StandardBuiltInToolCostTracking._usage_has_server_side_web_search_calls(usage):
-            return True
 
         if isinstance(response_object, ModelResponse):
             # chat completions only include url_citation annotations when a web search call is made
diff --git a/tests/test_litellm/llms/xai/test_xai_cost_calculator.py b/tests/test_litellm/llms/xai/test_xai_cost_calculator.py
index 4e1c8cacfd7..1102a63c917 100644
--- a/tests/test_litellm/llms/xai/test_xai_cost_calculator.py
+++ b/tests/test_litellm/llms/xai/test_xai_cost_calculator.py
@@ -27,9 +27,6 @@ from litellm.llms.xai.cost_calculator import (
     cost_per_token,
     cost_per_web_search_request,
 )
-from litellm.types.llms.openai import ResponsesAPIResponse
-
-
 class TestXAICostCalculator:
     """Test suite for XAI cost calculation functionality."""
 
@@ -411,35 +408,6 @@ class TestXAICostCalculator:
             response_object=object(), usage=usage
         )
 
-    def test_gate_detects_server_side_tool_usage_details_without_web_search_output(
-        self,
-    ):
-        usage = Usage(prompt_tokens=10, completion_tokens=5, total_tokens=15)
-        setattr(
-            usage,
-            "server_side_tool_usage_details",
-            {"web_search_calls": 1},
-        )
-        response = ResponsesAPIResponse.model_construct(
-            id="resp_test",
-            created_at=0,
-            output=[{"type": "message", "role": "assistant", "content": []}],
-            usage=None,
-        )
-        assert StandardBuiltInToolCostTracking.response_object_includes_web_search_call(
-            response_object=response, usage=usage
-        )
-        assert (
-            StandardBuiltInToolCostTracking.get_cost_for_built_in_tools(
-                model="grok-4.3",
-                response_object=response,
-                usage=usage,
-                standard_built_in_tools_params={},
-                custom_llm_provider="xai",
-            )
-            == 5.0 / 1000.0
-        )
-
     def test_grok_4_20_beta_reasoning_cost_calculation(self):
         """Test cost calculation for grok-4.20-beta-0309-reasoning model."""
         usage = Usage(prompt_tokens=100, completion_tokens=200, total_tokens=300)