Unverified50% confidenceFactExact time
Overthinking refers to a reasoning-capable model spontaneously carrying out multiple rounds of internal reasoning, self-checking and iterative correction before giving a final answer, which can improve accuracy on complex tasks but significantly lengthens the time taken and consumes more tokens.
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10/31/2026
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VerifiedReasoning Effort is essentially a parameter that controls the depth of the model's chain of thought; the higher the level, the more internal reasoning steps the model is allowed, and latency and cost rise proportionally.80% similarUnverifiedThe overthinking problem is especially prominent in chain-of-thought reasoning models represented by o1 and DeepSeek-R1.78% similarVerifiedTest-time compute scaling improves performance on complex reasoning tasks by investing more computation during the inference stage through methods such as extending the chain of thought, multi-path sampling with best-of-n selection, and self-verification reflection.77% similarVerifiedReasoning models perform internal Chain-of-Thought before returning final results, consuming large amounts of tokens and computation time in exchange for deeper understanding and lower error rates.76% similarUnverified现代推理模型允许用户设置从low到high再到x-high的思考强度等级，等级越高模型在生成回答前会花更多时间进行内部推理76% similar
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