Verified65% confidenceFactExact time
Reasoning effort is an adjustable parameter offered by some large-model APIs, with common levels including low, medium, high and xhigh, essentially controlling how many internal reasoning tokens the model generates before outputting its final answer.
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65%
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10/21/2026
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Related Claims
UnverifiedThinking intensity (thinking intensity / reasoning effort) is a tunable parameter exposed to callers by some reasoning models (such as Claude 3.7 Sonnet and the OpenAI o series) to control the depth of the model's internal chain-of-thought reasoning and token consumption.79% 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% similarVerifiedReasoning effort is an adjustable parameter offered by some large models; the higher the effort, the more tokens the model consumes for multi-step reasoning, usually improving the quality of complex tasks but increasing latency and cost.78% similarUnverifiedTypical implementations of the reasoning effort mechanism include OpenAI's reasoning_effort parameter (low/medium/high) and Anthropic Claude's Extended Thinking mode.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74% similar
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