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43% Fewer Tokens, 98.9% of the Quality: How VisionWeave Spends Visual Tokens Like Money

A vision-language model reads a picture the way you might read a page: it chops the image into patches and turns every patch into a token. A high-resolution photo or a long video quickly becomes thousands of tokens, and every one of them costs attention compute and KV-cache memory. On October 6, 20…

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  1. 2026-10-26 15:55 · DEV Community — Machine Learning
    43% Fewer Tokens, 98.9% of the Quality: How VisionWeave Spends Visual Tokens Like Money

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