Unverified80% confidenceFactTime unknown
一次普通的ChatGPT对话可能只需要几百到几千个token的推理计算
1
Sources
80%
Confidence
Long-term
Relevance
5/31/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedBefore 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.65% similarUnverifiedUsing vague questions requires an average of 5 back-and-forth exchanges to resolve an issue, whereas using precise questions (the three-element template) essentially resolves the issue in one attempt, with answer accuracy jumping from 30% to over 90%.64% similarUnverifiedChatGPT单次推理耗电约为传统搜索的10倍64% similarUnverified研究显示复杂代理任务的token消耗往往是等效单次对话的20-100倍64% similarUnverified以英语约5万常用词汇计算，Trigram 理论上需存储约1.25×10¹⁴种组合的概率64% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/12897API
curl https://kongchang.com/api/v1/knowledge/claims/12897MCP
get_claim(id=12897)