diff --git a/lib/crewai/src/crewai/llms/providers/gemini/completion.py b/lib/crewai/src/crewai/llms/providers/gemini/completion.py
index f7fd0f61e..59d75a3b1 100644
--- a/lib/crewai/src/crewai/llms/providers/gemini/completion.py
+++ b/lib/crewai/src/crewai/llms/providers/gemini/completion.py
@@ -1328,9 +1328,11 @@ class GeminiCompletion(BaseLLM):
             usage = response.usage_metadata
             cached_tokens = getattr(usage, "cached_content_token_count", 0) or 0
             thinking_tokens = getattr(usage, "thoughts_token_count", 0) or 0
+            candidates_tokens = getattr(usage, "candidates_token_count", 0) or 0
             result: dict[str, Any] = {
                 "prompt_token_count": getattr(usage, "prompt_token_count", 0),
-                "candidates_token_count": getattr(usage, "candidates_token_count", 0),
+                "candidates_token_count": candidates_tokens,
+                "completion_tokens": candidates_tokens + thinking_tokens,
                 "total_token_count": getattr(usage, "total_token_count", 0),
                 "total_tokens": getattr(usage, "total_token_count", 0),
                 "cached_prompt_tokens": cached_tokens,
diff --git a/lib/crewai/tests/llms/google/test_google.py b/lib/crewai/tests/llms/google/test_google.py
index f6e94f89e..7bfe0358d 100644
--- a/lib/crewai/tests/llms/google/test_google.py
+++ b/lib/crewai/tests/llms/google/test_google.py
@@ -596,6 +596,35 @@ def test_gemini_token_usage_tracking():
     assert usage.total_tokens > 0
 
 
+def test_gemini_thoughts_tokens_counted_in_completion_and_total():
+    """Gemini's thoughts_token_count must be folded into completion_tokens so the
+    tracked total matches the API's total_token_count for thinking models."""
+    from crewai.llms.providers.gemini.completion import GeminiCompletion
+
+    llm = GeminiCompletion(model="gemini-2.0-flash-001")
+
+    response = MagicMock()
+    response.usage_metadata = MagicMock(
+        prompt_token_count=100,
+        candidates_token_count=50,
+        thoughts_token_count=25,
+        total_token_count=175,
+        cached_content_token_count=0,
+    )
+
+    usage = llm._extract_token_usage(response)
+    assert usage["candidates_token_count"] == 50
+    assert usage["completion_tokens"] == 75
+    assert usage["reasoning_tokens"] == 25
+
+    llm._track_token_usage_internal(usage)
+    summary = llm.get_token_usage_summary()
+    assert summary.prompt_tokens == 100
+    assert summary.completion_tokens == 75
+    assert summary.total_tokens == 175
+    assert summary.reasoning_tokens == 25
+
+
 @pytest.mark.vcr()
 def test_gemini_tool_returning_float():
     """