Unverified50% confidenceFactExact time
In CoT reasoning, models often continue generating after the answer has become reachable, extra steps drive up serving cost, and subsequent steps may overwrite originally correct intermediate results, lowering accuracy.
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50%
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Long-term
Relevance
10/20/2026
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UnverifiedCoT并不能从根本上解决模型不具备真正计算能力的问题，只是通过拉长推理链条降低每一步出错的概率73% similarUnverifiedMulti-step reasoning means multiple model calls, and under real traffic, token consumption and response latency grow non-linearly.72% similarUnverifiedThe inference cost savings from migrating to small models may be partially offset by the additional compute and latency of a more complex retrieval pipeline, so end-to-end cost, latency, and quality metrics must be measured empirically.72% similarUnverifiedPlanning before executing can reduce situations where a wrong direction is discovered midway through writing, making it easier to identify requirement deviations before costly generation steps.72% similar
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