格洛克模型支持“思考”模式，可让它们在提供最终答案之前执行分步推理。这对于需要透明逻辑的任务非常有用，例如数学证明、复杂的代码调试或多步智能体规划。
格洛克指南
- 推理 token 计数在
reasoning_tokens字段中输出，与completion_tokens分开。 - 响应没有
reasoning_content字段。所有响应文本都在content字段中输出。 - 格洛克推理模型不支持
reasoning_effort。
示例请求：
curl -X POST \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
-H "Content-Type: application/json" \
https://aiplatform.googleapis.com/v1/projects/test-project/locations/global/endpoints/openapi/chat/completions -d '{
"model": "xai/grok-4.1-fast-reasoning",
"messages": [{
"role": "user",
"content": "Who are you?"
}],
}'
示例响应：
{
"choices": [
{
"finish_reason": "stop",
"index": 0,
"logprobs": null,
"message": {
"content": "I am Grok, an AI assistant built by xAI...",
"role": "assistant"
}
}
],
"created": 1775523905,
"id": "knTMaJC0EJfM5OMP7I3xkAk",
"model": "xai/grok-4.1-fast-reasoning",
"object":"chat.completion",
"system_fingerprint":"fp_39c5j0a324",
"usage":{
"completion_tokens":50,
"completion_tokens_details":{
"accepted_prediction_tokens":0,
"audio_tokens":0,
"reasoning_tokens":124,
"rejected_prediction_tokens":0
},
"cost_in_usd_ticks":0,
"num_sources_used":0,
"prompt_tokens":663,
"prompt_tokens_details":{"audio_tokens":0,"cached_tokens":654,"image_tokens":0,"text_tokens":663},
"total_tokens":837
}
}