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 221b1ae6eab..f384cc35c05 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
@@ -50,33 +50,40 @@ class StandardBuiltInToolCostTracking:
         """
         standard_built_in_tools_params = standard_built_in_tools_params or {}
 
-        # Handle web search
-        if StandardBuiltInToolCostTracking.response_object_includes_web_search_call(
-            response_object=response_object, usage=usage
-        ):
-            return StandardBuiltInToolCostTracking._handle_web_search_cost(
+        web_search_cost = (
+            StandardBuiltInToolCostTracking._handle_web_search_cost(
                 model=model,
                 custom_llm_provider=custom_llm_provider,
                 usage=usage,
                 standard_built_in_tools_params=standard_built_in_tools_params,
                 response_object=response_object,
             )
+            if StandardBuiltInToolCostTracking.response_object_includes_web_search_call(
+                response_object=response_object, usage=usage
+            )
+            else 0.0
+        )
 
-        # Handle file search
-        if StandardBuiltInToolCostTracking.response_object_includes_file_search_call(response_object=response_object):
-            return StandardBuiltInToolCostTracking._handle_file_search_cost(
+        file_search_cost = (
+            StandardBuiltInToolCostTracking._handle_file_search_cost(
                 model=model,
                 custom_llm_provider=custom_llm_provider,
                 standard_built_in_tools_params=standard_built_in_tools_params,
             )
+            if StandardBuiltInToolCostTracking.response_object_includes_file_search_call(
+                response_object=response_object
+            )
+            else 0.0
+        )
 
-        # Handle Azure assistant features
-        return StandardBuiltInToolCostTracking._handle_azure_assistant_costs(
+        azure_assistant_cost = StandardBuiltInToolCostTracking._handle_azure_assistant_costs(
             model=model,
             custom_llm_provider=custom_llm_provider,
             standard_built_in_tools_params=standard_built_in_tools_params,
         )
 
+        return web_search_cost + file_search_cost + azure_assistant_cost
+
     @staticmethod
     def _handle_web_search_cost(
         model: str,
diff --git a/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_tool_call_cost_tracking.py b/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_tool_call_cost_tracking.py
index 24fd3c94ee3..a56b142658c 100644
--- a/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_tool_call_cost_tracking.py
+++ b/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_tool_call_cost_tracking.py
@@ -604,3 +604,64 @@ def test_web_search_provider_prefix_fallback_does_not_misprice_non_gemini_model(
 
 # Note: File search integration test removed due to complex annotation detection logic
 # The unit tests in test_azure_assistant_cost_tracking.py provide comprehensive coverage
+
+
+def test_web_search_and_file_search_costs_are_additive(local_model_cost_map):
+    """
+    Regression for https://github.com/BerriAI/litellm/issues/34730: a response that
+    performs both a web search and a file search must be charged for both fees, not
+    only the first detected tool category.
+    """
+    from openai.types.responses import (
+        ResponseFileSearchToolCall,
+        ResponseFunctionWebSearch,
+    )
+
+    from litellm.types.llms.openai import ResponsesAPIResponse
+
+    model = "gpt-4o-search-preview"
+    response_object = ResponsesAPIResponse(
+        id="resp_1",
+        created_at=0,
+        model=model,
+        object="response",
+        output=[
+            ResponseFunctionWebSearch(
+                id="ws_1",
+                type="web_search_call",
+                status="completed",
+                action={"type": "search", "query": "litellm"},
+            ),
+            ResponseFileSearchToolCall(
+                id="fs_1",
+                type="file_search_call",
+                status="completed",
+                queries=["litellm"],
+            ),
+        ],
+        parallel_tool_calls=False,
+        tools=[],
+        temperature=1,
+        top_p=1,
+    )
+    standard_built_in_tools_params = StandardBuiltInToolsParams(
+        web_search_options=WebSearchOptions(search_context_size="medium"),
+        file_search=FileSearchTool(type="file_search"),
+    )
+
+    cost = StandardBuiltInToolCostTracking.get_cost_for_built_in_tools(
+        model=model,
+        response_object=response_object,
+        usage=None,
+        custom_llm_provider="openai",
+        standard_built_in_tools_params=standard_built_in_tools_params,
+    )
+
+    expected_web_search_cost = litellm.get_model_info(model)[
+        "search_context_cost_per_query"
+    ]["search_context_size_medium"]
+    expected_file_search_cost = 0.0025
+
+    assert cost == pytest.approx(
+        expected_web_search_cost + expected_file_search_cost
+    ), f"expected additive built-in tool cost, got ${cost}"