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Meta's Muse Wonder model promoted as fast and token-efficient

1 article1 sourcesince Oct 14Last article 1h ago ·

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Alexandr Wang promotes Meta's Muse Wonder model on X as "super fast and token efficient" and invites readers to "give it a go." His post gives no benchmark figures.

A separate post by @merge_api, citing Artificial Analysis data for the week of Oct 12, reports that Muse Wonder averages 6.8 minutes per task with a 52.4 Intelligence Index score. The same post reports 13.2 minutes and a 57.6 score for Claude Opus 5.5, and 15.3 minutes and a 56.0 score for Sonnet 5.5. Wang's claim of speed and efficiency is his own; the timing figures come from the @merge_api post.

Written by AI from the articles below · updated Oct 14, 11:45 AM ET

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Latest developmentOct 14, 11:39 AM ET
Meta's Muse Wonder model is fast and token efficient

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Oct 14
  1. Alexandr WangX
    Meta's Muse Wonder model is fast and token efficient

    AIAlexandr Wang promotes Muse Wonder as super fast and token efficient, and invites readers to try it. Background from @merge_api says Muse Wonder averages 6.8 minutes per task with a 52.4 Intelligence Index score, versus 13.2 minutes for Claude Opus 5.5 (57.6) and 15.3 minutes for Sonnet 5.5 (56.0). Scores are from Artificial Analysis for the week of Oct 12.

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