As of: 2026-10-13 07:38 CEST. Researched and written by AI agents (Claude Opus 5.5 in Claude Code). Human editor: Adam Bicz. Canonical page: https://postcutoff.com/v/universe-of-ai-muse-wonder-full-beat-opus-5-5-astra/ # Meta’s Muse Wonder Full Just BEAT Opus 5.5 and GPT-6 Astra! Universe of AI, 12 October 2026, YouTube. 15,423 views as of 13 October 2026. Kind: Review. Watch: https://www.youtube.com/watch?v=qXl3zuEGngs ## Why it is here Launch-day summary that repeats Meta's own benchmark framing (Wonder Full ahead of Opus 5.5 and GPT-6 Astra). Kept as a counterpoint to the sceptical tests; the claim in the title is Meta's, not an independent result. ## Description (written by Gemini from the video) **Summary** In this video, the host of the channel *Universe of AI* analyzes Meta Superintelligence Labs' surprise release of their new frontier models, Muse Wonder and Muse Wonder Full. The presenter breaks down Meta's official benchmark tables against Claude Opus 5.5, GPT-6 Astra, and Claude Fable 5.1, followed by a review of early community demos and tests across coding, voxel generation, and agentic workflows. **What is shown** * **[00:00]** Intro comparing split-screen simulation demos (koi pond, voxel pagoda, pelican animation) generated by Muse Wonder models versus competitors. * **[00:23]** Mark Zuckerberg's X post announcing the Muse Wonder model family and accompanying official benchmark comparison table. * **[01:08]** Detailed breakdown of agentic and knowledge benchmarks, highlighting personal agent performance and professional tasks. * **[03:07]** Sponsored segment for freebeat AI music video creation. * **[04:50]** Benchmark analysis across legal work (Harvey Lab AA), financial analysis, AutomationBench AA, agentic computer use, context memory, and coding benchmarks (SWE Marathon and from-scratch coding). * **[07:26]** Pricing slide from an X post by `@chetaslua`: Muse Wonder API pricing ($4.00/M input, $0.20 cached, $20.00/M output) and Muse Wonder Full availability under a MuseCode subscription. * **[07:51]** Community tests on X: Ethan Mollick evaluating Muse Wonder's progress on shader generation tests. * **[08:58]** Comparative test by `@notjazii` evaluating Muse Wonder Max versus Cognition's SWE 2 Max on a living koi pond simulation prompt. * **[09:37]** Animations and 3D voxel world generation tests posted by `@chetaslua`, `@AiBattle`, and `@cherry_reds`. * **[10:57]** Pelican riding a bicycle animation benchmark comparison. * **[11:16]** Artificial Analysis Intelligence Index v4.3 leaderboard comparison showing Muse Wonder Full and Muse Wonder against Gemini 4 Argon and GPT-6.1 Sol. **Claims & numbers** * The presenter states that Meta released two frontier models: Muse Wonder and Muse Wonder Full. * On Meta's internal Personal Superintelligence Index benchmark: Muse Wonder Full scores 59.1%, Claude Opus 5.5 scores 55.2%, GPT-6 Astra scores 54.5%, Muse Wonder scores 54.3%, and Claude Fable 5.1 scores 49.9%. * In legal agent work (Harvey Lab AA): Muse Wonder Full scores 13.1%, GPT-6 Astra scores 8.6%, Claude Fable 5.1 scores 6.4%, and Claude Opus 5.5 scores 4.2%. * In financial analyst research: Muse Wonder Full scores 59.1%, Opus 5.5 scores 58.6%, Wonder Max scores 56.6%, and GPT-6 Astra scores 53.5%. * In AutomationBench AA: Muse Wonder Full scores 45.4%. * In Agentic Computer Use: Claude Opus 5.5 scores 81.8%, Fable 5.1 scores 80.7%, and Muse Wonder Full scores 78.4%. * In context memory retention: Muse Wonder (smaller model) scores 85.6%. * In Long Horizon Coding: Muse Wonder Full scores 79.0% vs. Opus 5.5 at 74.2%; in Software Engineering Marathon, Muse Wonder Full scores 57.5% vs. Opus 5.5 at 46.3%; but in from-scratch programming, Opus 5.5 leads at 70.5% vs. Wonder Full at 59.0%. * API pricing for Muse Wonder: $4.00 per million input tokens, $0.20 cached input, $20.00 per million output tokens; Muse Wonder Full is gated behind a MuseCode subscription. * On the Artificial Analysis Intelligence Index v4.3: Muse Wonder Full scores 56, Gemini 4 Argon scores 53, and Muse Wonder scores 52. * In `@notjazii`'s koi pond test: Muse Wonder took 24 minutes and cost ~$18, whereas SWE 2 Max took 15 minutes, cost $0, and generated higher visual fidelity. **Notable quotes** * "Out of the blue today, we got a new model from the Meta team actually, which is their new model Muse Wonder Full and Muse Wonder..." [00:00] * "This model is really good at knowledge work... I wouldn't expect this model to be the top coding model." [01:10] * "Overall today is a good day for Meta because they have improved their models quite significantly." [11:44] **Assessment** This is a third-party commentary and review video evaluating Meta's launch announcement, posted benchmark cards, and third-party tester impressions on X. The presenter does not run original evaluations live, instead curating posted benchmarks and user demos to point out that despite strong agent/knowledge benchmark scores, the model's practical coding output appears noticeably weaker than specialized coding models. _Described by gemini-3.8-flash on 2026-10-13 from the video's audio and frames._ ## Related - 2026-10-12: [Meta releases Muse Wonder and Muse Wonder Full, its first frontier-class models](https://postcutoff.com/e/2026-10-12-meta-muse-wonder/) ## People in it - [Ethan Mollick](https://postcutoff.com/person/ethan-mollick/), Associate professor, Wharton School - [Mark Zuckerberg](https://postcutoff.com/person/mark-zuckerberg/), Chairman and CEO, Meta