AI 导读
据 Epoch AI 报告，OpenAI 中位数研究员的编码智能体推理支出按 API 牌价计算在 2026 年 1 月到 8 月中旬达到每天 $601、约合每年 $2M，从年初不到 $1 起约每月翻倍，大致等于或超过雇一名研究员的成本。报告同时指出这一速度难以持续，再翻一年将达约每名中位数研究员 $185M，且牌价数字并不反映 OpenAI 实际支出。作者另引述 Sam Altman 用 ultra fast 模式做全部提示词，以及 Anthropic Claude Code 负责人 Boris Cherny 表示所有场景都用 Fable。
正文
> Sam Altman does all his prompting on prompting on 'ultra fast'
> Boris Cherny, head of Claude Code at Anthropic: “I use Fable for everything"
> OpenAI's median researcher used $601 of coding-agent inference a day (about $1.8M a year, r) at API prices, up from under $1, in January 2026.
OpenAI's median researcher used $601 of coding-agent inference a day at API prices, up from under $1, in January 2026. Eoch AI's new report. > OpenAI researchers' coding-agent usage, valued at API list prices, is doubling roughly every month > By mid-August 2026, the median researcher used $601 a day and about $2M a year, roughly matching or exceeding what employing a researcher costs. > This pace probably can't last, since one more year would reach about $185M per median researcher, and list-price figures reveal nothing about what OpenAI actually spends.在 X 查看被引用的帖子
来源：Rohan Paul · x.com