Meta Launches Muse Wonder: Leveraging Prometheus Data Center and Active Memory to Surpass Claude Opus 5.5 in SWE-Marathon with Score of 57.5Simon Willison 博客T2Foundation Models

Simon Willison 博客 · 10/13/2026, 07:58:46

Meta Releases Muse Wonder Model; Simon Willison Updates llm-meta-ai Plugin with Reasoning Benchmarks

48AI Score

Executive Summary

Meta released its new flagship model, Muse Wonder, which Artificial Analysis rates as equivalent to GPT-6.1 Sol. Developer Simon Willison updated his open-source tool llm-meta-ai to v0.2 to support the model, demonstrating output differences across reasoning levels using the classic 'pelican riding a bicycle' SVG generation test.

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Release: llm-meta-ai 0.2

Meta AI release Muse Wonder (and Muse Wonder Full), their new "most capable models". These look like they may be Meta's first Fable class models - Artificial Analysis scores Muse Wonder (Max) as equivalent to GPT-6.1 Sol.

I updated my llm-meta-ai plugin for the new model. Here are pelicans for Muse Wonder for the six reasoning levels: minimal, low, medium, high, xhigh, max. This is the max one:

Blue cycling helmet, bicycle is missing one bar but otherwise an OK shape, has mudguards, nice background, OK beak.

For comparison, here are pelicans for Muse 1.3 (released September 2nd) and Muse 1.2 (released August 5th). Meta AI are putting out a new model a month, and the improvements between each model (at least in terms of drawing pelicans) are material.

Tags: ai, generative-ai, llms, meta, pelican-riding-a-bicycle, llm-release