Verified65% confidenceFactExact time
思考模型在输出前会经历内部链式推理（Chain-of-Thought）过程，在数学证明、代码调试、复杂逻辑推理等任务上表现优于标准模型，代价是延迟更高、计算成本更大
3
Sources
65%
Confidence
Long-term
Relevance
7/15/2026
First Seen
Sources
Related Claims
UnverifiedReasoning 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.84% similarVerifiedChain of Thought能显著提升模型在数学推理、逻辑判断等需要多步推导的任务上的表现84% similarUnverifiedReasoning 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.84% similarUnverifiedThe internal chain of thought in reasoning models generates a large number of output tokens, making the actual cost of completing complex tasks often far higher than what a per-token price comparison would suggest.83% similarUnverifiedExtended thinking mode causes the model to perform an explicit internal reasoning chain before output, at the cost of significantly increased token consumption, with reasoning tokens typically billed at a higher rate.81% similar
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