Unverified50% confidenceFactExact time
同一段文字在不同模型中消耗的 token 数量可能相差 10%-30%
1
Sources
50%
Confidence
Long-term
Relevance
7/7/2026
First Seen
Sources
Kontext：一键迁移AI对话上下文，打破多模型切换壁垒
hackernewshackernews7/3/2026
Related Claims
Unverified高推理强度模式下单次请求的 Token 消耗可能是低强度模式的 5-20 倍69% similarUnverifiedThe officially claimed 30% reduction in Thinking Token consumption only held true for two of the five problems; for the remaining three, K2.7-Code actually consumed more tokens.67% similarUnverified即使模型标称支持128K甚至1M token的上下文窗口，其有效利用能力往往远低于标称值，实际可靠工作范围可能只有标称值的几分之一65% similarUnverifiedBefore outputting a final answer, a reasoning model's internal chain of thought may consume 3,000 to 20,000 tokens, far exceeding the approximately 500 tokens of an ordinary model.63% similarUnverified端侧推理中吞吐量需达到5-10 token/s对应人类舒适阅读速度，低于此值输出显得一字一顿62% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/189439API
curl https://kongchang.com/api/v1/knowledge/claims/189439MCP
get_claim(id=189439)