Unverified60% confidenceFactTime unknown
In deep thinking mode, the model first generates intermediate reasoning steps internally, then derives the final conclusion based on those steps, performing significantly better than direct generation when handling multi-step logical reasoning tasks.
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60%
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Long-term
Relevance
6/1/2026
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UnverifiedBy externalizing intermediate steps as text, chain-of-thought equivalently extends the model's effective computational depth from the number of layers in a single forward pass to the number of layers multiplied by the number of reasoning steps.83% similarVerifiedReasoning 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.79% 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79% similar
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