Unverified50% confidenceTradeoffExact time
推理时计算（Inference-time Compute）的扩展能提升单次输出质量，但成本以超线性方式增长
1
Sources
50%
Confidence
Long-term
Relevance
7/21/2026
First Seen
Sources
Related Claims
UnverifiedExtended thinking mode causes the model to perform an explicit internal reasoning chain before output, at the cost of significantly increased token consumption, with reasoning tokens typically billed at a higher rate.78% similarVerifiedTest-time Compute Scaling improves model performance by investing more computational resources during the inference stage, and research indicates it is more efficient than simply increasing model parameter count on certain tasks.76% similarUnverifiedThe essence of reasoning-enhanced models is trading inference-time compute for accuracy76% similarPartially VerifiedLarger model parameters bring stronger reasoning capabilities but also higher computational costs and longer response latency.75% similarUnverified订阅分层策略的核心逻辑是高性能模型推理成本更高，通过分层定价覆盖算力成本并制造升级付费动机74% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/577749API
curl https://kongchang.com/api/v1/knowledge/claims/577749MCP
get_claim(id=577749)