【X观察】Tibo:On tokens a...kens flow. —— 额度调整概率5%

On tokens and prices per token. I said I’d write more about this, so here goes: an OpenAI token != another model’s token. We compare AI prices in dollars per million tokens as if a token were a standardized unit, like a gram or a kilowatt-hour. It isn’t. Different models use and produce the exact same text using different numbers of tokens, which means a lower price per token does not necessarily mean a lower bill. Imagine two identical pizzas. One is cut into 8 slices at $2 each. The other is cut into 16 slices at $1.25 each. The second place advertises cheaper slices, but the whole pizza costs $20 instead of $16. Bummer ... your stomach doesn't actually care about the number of slices you just ate. I know you are hungry now, but back to tokens. In one small comparison spanning English, technical, multilingual, and numerical text, the tokenizer we use for GPT-5.6 Sol used 766 tokens versus an estimated 1,170 for Claude Opus 5. That's a very significant difference of about 34.5% fewer tokens. You can get the same exact text, but pay for all those extra tokens. The price per token doesn't really tell this story. Even correcting for tokenizer differences misses the bigger point. What actually matters is price per successful outcome, and for that you can use benchmarks as a starting point, but really you have to try it and measure on your own use cases. That's all. May the tokens flow.

—— Tibo(@thsottiaux) · Sun Aug 16 05:52:40 +0000 2026 · 原文

互动数据:浏览 888803 · 点赞 6894 · 转发 378 · 回复 824

AI 判断:额度调整概率 5%(置信度:高)

推文聚焦分词器效率与实际调用成本对比，与额度重置、放宽或收紧政策完全无关。

分析依据

• 作者虽为OpenAI团队成员且推文曝光度高，但内容纯属对Token计量方式与成本效益的技术科普与竞品对比
• 推文通篇未提及速率限制、使用配额（Quota）调整或任何额度重置相关信息

分析时间:2026-09-08 20:41 · 定时自动监控触发,内容由 AI 生成仅供参考