Meta's Muse Wonder model promoted as fast and token-efficient
Overview
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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Alexandr Wang@alexandr_wangXMeta's Muse Wonder model is fast and token efficientAIAlexandr 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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