Unverified50% confidenceTradeoffExact time
Reasoning Effort参数分为low、medium、high、extra high等级别，级别越高推理能力越强但token消耗和延迟也成比例增加
1
Sources
50%
Confidence
Long-term
Relevance
7/18/2026
First Seen
Sources
Related Claims
UnverifiedReasoning Effort档位越高，模型可消耗的思考Token上限越大，但延迟和Token成本相应线性乃至超线性增长75% similarUnverified高强度推理配置通常意味着更高费用和更长响应时间，牺牲响应速度换取逻辑严密性74% similarUnverified增加推理次数会带来更高的计算成本，但换取了单次任务复杂度的降低，这是分组抽取策略的权衡73% similarUnverified基准测试存在分布偏差，测试集的任务类型、难度分布和仓库规模未必代表真实开发场景，Max模式会提升得分但大幅增加Token消耗73% similarUnverified推理部署对单次计算规模要求低，但需要应对海量并发请求，更强调吞吐量和延迟的平衡73% similar
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