Simon Willison(@simonw)

Important to note: that 3x increase for images is entirely due to Opus 4.7 being able to handle high...

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Important to note: that 3x increase for images is entirely due to Opus 4.7 being able to handle high...

TL;DR · AI 摘要

Opus 4.7 图像处理成本看似增加3倍,实为支持更高分辨率所致;相同尺寸图像下,4.7与4.6版本Token消耗基本一致。

核心要点

  • Opus 4.7 成本上升源于支持更高分辨率,非效率下降。
  • 在682x318像素图像测试中,4.7与4.6版本Token消耗几乎相同。
  • 评估模型升级时需控制变量,避免误判性能或成本变化。
#Opus#AI模型#图像处理#Token成本
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Simon Willison on X: "Important to note: that 3x increase for images is entirely due to Opus 4.7 being able to handle higher resolutions. I tried that again with a 682x318 pixel image and it took 314 tokens with Opus 4.7 and 310 with Opus 4.6, so effectively the same cost." / X

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Simon Willison

@simonw

Important to note: that 3x increase for images is entirely due to Opus 4.7 being able to handle higher resolutions. I tried that again with a 682x318 pixel image and it took 314 tokens with Opus 4.7 and 310 with Opus 4.6, so effectively the same cost.

3:18 AM · Apr 20, 2026

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