Verified75% confidenceFactExact time
Reasoning configuration allows developers to control the model's reasoning effort, determining how much reasoning computation the model invests before answering.
3
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75%
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Long-term
Relevance
9/11/2026
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Related Claims
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 adaptive thinking mechanism allows the model to dynamically determine the depth of reasoning based on problem difficulty, answering simple questions directly and only engaging in full reasoning for complex ones.79% similarUnverifiedIn 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.78% similarUnverifiedThe budget reasoning mechanism allows developers or systems to set an upper limit on thinking tokens per request, making an explicit trade-off between response latency and reasoning depth77% similarVerifiedInference-time computation improves output quality by allocating more computational resources during the inference stage while keeping model parameters fixed.76% similar
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