Unverified50% confidenceFactExact time
推理模型通过思维链或内部搜索进行多步推演，token消耗量可能是普通模型的5到20倍
1
Sources
50%
Confidence
Long-term
Relevance
7/19/2026
First Seen
Sources
本地AI爆发拐点：端侧部署、多模型协作与开源生态全解析
Related Claims
UnverifiedBefore outputting a final answer, a reasoning model's internal chain of thought may consume 3,000 to 20,000 tokens, far exceeding the approximately 500 tokens of an ordinary model.78% similarVerifiedThe chain-of-thought effect is particularly pronounced in models with parameter counts exceeding 100B.72% similarUnverifiedA typical deep research Agent task involves 30–50 independent model inference calls, with cumulative token consumption easily exceeding 100,000.72% similarUnverified该研究发现同一模型不同部署时间点在代码生成和逻辑推理任务上通过率可能出现10%至20%的显著波动，且方向不总是单向改善71% similarUnverifiedIn High mode, the token consumption per chain-of-thought reasoning call may be 10 to 50 times that of Instant mode.71% similar
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