muse wonder is super fast and token efficient ⚡️ ⚡️
give it a go!
Meta's Muse Wonder model is fast and token efficient
AISummary
Alexandr 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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Alexandr WangVerified on X
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The two top models on the Intelligence Index take about twice as long per task: Claude Opus 5.5 and Sonnet 5.5 (@AnthropicAI) vs. Muse Wonder (@Meta). Muse Wonder finishes an average task in 6.8 minutes with a 52.4 score. Opus 5.5 takes 13.2 and Sonnet 5.5 takes 15.3, scoring 57.6 and 56.0. Muse Spark 1.3 and GPT-6 Astra (@OpenAI) follow at 8.1. When someone is waiting on the answer, minutes can matter more than a few index points. Merge Gateway lets you send latency-sensitive requests to the fast model and the hard ones to the strong one, behind one endpoint. Scores via http://artificialanalysis.ai, week of Oct 12.
Source: Alexandr Wang · x.comPublished · added here