Unverified50% confidenceFactExact time
隐式推理机制会在推理时消耗额外的token预算，这些token通常被标记为不可见，不会呈现给最终用户
1
Sources
50%
Confidence
Long-term
Relevance
8/29/2026
First Seen
Sources
Related Entities
Related Claims
Unverified推理模型的思考预算机制设有推理Token数量上限，耗尽后无法输出完整答案，可能导致过度思考问题72% similarUnverified在推理阶段输入内容通过并行化注意力机制一次性处理，而输出内容需自回归逐Token生成，无法并行化，构成大模型推理延迟的根本瓶颈67% similarUnverified上下文浓缩策略的代价是可能丢失被判定为不重要的细节信息，导致后续对话理解偏差或重复犯错66% similarUnverifiedExcessive model caution creates misalignment between internal safety logic and users' expectations for productivity, which is especially costly in paid API scenarios where users pay for waiting time64% similarUnverified强制推理模型输出结构化格式会干扰其内部推理过程并降低性能63% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/819695API
curl https://kongchang.com/api/v1/knowledge/claims/819695MCP
get_claim(id=819695)