{ "@context": "https://schema.org", "@id": "https://aggr.aymericbeaumet.com/items/simonwillison-net/2026-10-12-llm-meta-ai-0-2/#webpage", "@type": [ "WebPage", "ArchiveComponent" ], "articleBody": "Meta AI release [Muse Wonder](https://research.meta.ai/blog/muse-wonder) (and Muse Wonder Full), their new \"most capable models\". These look like they may be Meta's first [Fable class models](https://simonwillison.net/2026/Sep/27/2026-in-llms-so-far/#simon-willison-2026-in-llms.042.webp) - Artificial Analysis [scores Muse Wonder (Max)](https://artificialanalysis.ai/models/muse-wonder) as equivalent to GPT-6.1 Sol.\n\nI updated my `llm-meta-ai` plugin for the new model. Here are [pelicans for Muse Wonder](https://tools.simonwillison.net/markdown-svg-renderer?url=https://gist.github.com/simonw/185cff7ff0b11379725abf7f78d5d2b2) for the six reasoning levels: minimal, low, medium, high, xhigh, max. This is the max one:\n\n![Blue cycling helmet, bicycle is missing one bar but otherwise an OK shape, has mudguards, nice background, OK beak.](https://static.simonwillison.net/static/2026/muse-wonder-max.webp)\n\nFor comparison, here are [pelicans for Muse 1.3](https://tools.simonwillison.net/markdown-svg-renderer?url=https://gist.github.com/simonw/1f8c25686971da82077e34c088d408db) (released September 2nd) and [Muse 1.2](https://tools.simonwillison.net/markdown-svg-renderer?url=https%3A%2F%2Fgist.github.com%2Fsimonw%2Fce974a21202b0595e36ec2a5ddb51480) (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.\n", "authors": [], "captured_at": "2026-10-13T23:05:17.612288367+00:00", "category": "programming", "content_html": "

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.

\n

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:

\n

\"Blue

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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.

\n", "content_markdown": "Meta AI release [Muse Wonder](https://research.meta.ai/blog/muse-wonder) (and Muse Wonder Full), their new \"most capable models\". These look like they may be Meta's first [Fable class models](https://simonwillison.net/2026/Sep/27/2026-in-llms-so-far/#simon-willison-2026-in-llms.042.webp) - Artificial Analysis [scores Muse Wonder (Max)](https://artificialanalysis.ai/models/muse-wonder) as equivalent to GPT-6.1 Sol.\n\nI updated my `llm-meta-ai` plugin for the new model. Here are [pelicans for Muse Wonder](https://tools.simonwillison.net/markdown-svg-renderer?url=https://gist.github.com/simonw/185cff7ff0b11379725abf7f78d5d2b2) for the six reasoning levels: minimal, low, medium, high, xhigh, max. This is the max one:\n\n![Blue cycling helmet, bicycle is missing one bar but otherwise an OK shape, has mudguards, nice background, OK beak.](https://static.simonwillison.net/static/2026/muse-wonder-max.webp)\n\nFor comparison, here are [pelicans for Muse 1.3](https://tools.simonwillison.net/markdown-svg-renderer?url=https://gist.github.com/simonw/1f8c25686971da82077e34c088d408db) (released September 2nd) and [Muse 1.2](https://tools.simonwillison.net/markdown-svg-renderer?url=https%3A%2F%2Fgist.github.com%2Fsimonw%2Fce974a21202b0595e36ec2a5ddb51480) (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.\n", "dateCreated": "2026-10-13T23:05:17.612288367+00:00", "date_created": "2026-10-12T23:58:46+00:00", "date_modified": "2026-10-12T23:58:46+00:00", "date_published": "2026-10-12T23:58:46+00:00", "description": "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…", "external_url": "https://simonwillison.net/2026/Oct/12/llm-meta-ai/", "git": { "commit": "ebb0941c5c06a2ab2377342d607535262a3e969e", "path": "items/simonwillison-net/2026/10/2026-10-12-llm-meta-ai-0-2.md", "permalink": "https://github.com/aymericbeaumet/aggr-instance/blob/ebb0941c5c06a2ab2377342d607535262a3e969e/items/simonwillison-net/2026/10/2026-10-12-llm-meta-ai-0-2.md" }, "id": "urn:aggr:item:f58f945fcefa9f242c706a5e50239ccbf0ecb495", "isBasedOn": { "@id": "https://simonwillison.net/2026/Oct/12/llm-meta-ai/" }, "mainEntity": { "@id": "https://simonwillison.net/2026/Oct/12/llm-meta-ai/", "@type": "CreativeWork", "archivedAt": { "@id": "https://aggr.aymericbeaumet.com/items/simonwillison-net/2026-10-12-llm-meta-ai-0-2/#webpage" }, "dateModified": "2026-10-12T23:58:46+00:00", "datePublished": "2026-10-12T23:58:46+00:00", "headline": "llm-meta-ai 0.2", "image": { "@type": "ImageObject", "caption": "Blue cycling helmet, bicycle is missing one bar but otherwise an OK shape, has mudguards, nice background, OK beak.", "height": 90, "url": "https://static.simonwillison.net/static/2026/muse-wonder-max.webp", "width": 160 }, "timeRequired": "PT1M", "url": "https://simonwillison.net/2026/Oct/12/llm-meta-ai/", "wordCount": 112 }, "name": "Archived snapshot: llm-meta-ai 0.2", "preview": { "alt": "Blue cycling helmet, bicycle is missing one bar but otherwise an OK shape, has mudguards, nice background, OK beak.", "color": null, "height": 90, "placeholder": { "data_url": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNk+A8AAQUBAScY42YAAAAASUVORK5CYII=", "hash": "" }, "url": "https://static.simonwillison.net/static/2026/muse-wonder-max.webp", "width": 160 }, "reading_minutes": 1, "replicated_at": null, "source": "simonwillison-net", "source_name": "Simon Willison's Weblog", "summary": "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: 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", "tags": [ "ai", "generative-ai", "llm-release", "llms", "meta", "pelican-riding-a-bicycle" ], "temporalCoverage": "2026-10-13T23:05:17.612288367+00:00", "title": "llm-meta-ai 0.2", "url": "https://aggr.aymericbeaumet.com/items/simonwillison-net/2026-10-12-llm-meta-ai-0-2/", "word_count": 112 }