Unverified50% confidenceTradeoffExact time
Reasoning 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
1
Sources
50%
Confidence
Long-term
Relevance
7/10/2026
First Seen
Sources
GPT-5.6三模型架构解析：Sol/Terra/Luna定价与性能全览
bilibiliDP_IT7/9/2026
Related Claims
Unverified推理预算越高，模型响应延迟和 Token 消耗成倍增加，但在数学证明、复杂算法设计等场景表现显著提升83% 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79% similarUnverified开启思考模式会带来更长的响应延迟和更高的Token消耗79% similarUnverifiedReAct的线性思考-行动循环在需要并行探索多条路径的任务时效率低下，且每步推理的Token消耗累积导致长任务计算成本呈二次方增长79% similarUnverified长程任务的Token消耗随步骤数呈近似二次方增长，而非线性增长78% similar
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