Simon Willison(@simonw)

I tried a 15MB, 30 page text-heavy PDF and Opus 4.7 reported 60,934 tokens while 4.6 reported 56,482...

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I tried a 15MB, 30 page text-heavy PDF and Opus 4.7 reported 60,934 tokens while 4.6 reported 56,482...

TL;DR · AI 摘要

Simon Willison测试显示Opus 4.7对PDF的token计数比4.6高8%,但增幅远低于纯文本,暗示模型对结构化文档处理更稳定。

核心要点

  • Opus 4.7相比4.6对PDF的token计数仅增加8%,增幅温和。
  • 结构化文档(如PDF)的token膨胀率显著低于原始文本。
  • 版本升级对不同输入格式的影响差异值得关注。
#Opus#Token计数#AI模型
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Simon Willison on X: "I tried a 15MB, 30 page text-heavy PDF and Opus 4.7 reported 60,934 tokens while 4.6 reported 56,482 - that's a 1.08x multiplier, significantly lower than the multiplier I got for raw text." / X

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Simon Willison

@simonw

I tried a 15MB, 30 page text-heavy PDF and Opus 4.7 reported 60,934 tokens while 4.6 reported 56,482 - that's a 1.08x multiplier, significantly lower than the multiplier I got for raw text.

1:47 PM · Apr 20, 2026

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