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Home/Models & Labs
Models & Labs

Meta launches frontier model Muse Wonder

TechCrunch AI·October 12, 2026·high confidence

Why it matters

  • →Meta enters the frontier model competition, challenging OpenAI and Anthropic's dominance with Muse Wonder.
  • →The focus on 'active memory' addresses a key limitation in current LLMs for persistent personal assistant use cases.
  • →Pricing aligns with premium competitors, but access to the most capable model (Wonder Full) is restricted to subscribers.
Meta launches frontier model Muse Wonder
©TechCrunch AI

Meta’s Superintelligence Lab has released Muse Wonder and Muse Wonder Full, marking the company's first entry into the frontier model market. Positioned as successors to the lightweight Muse Spark, these models claim benchmark parity with GPT-6 Astra and Opus 5.5, with a specific focus on 'active memory' capabilities for long-term user context retention. Priced at $4 per million input tokens and $20 per million output tokens via the Meta Model API, the models are trained on Meta's new Prometheus data center in Ohio. Notably, the larger Wonder Full variant is restricted to Muse Code subscribers, indicating a tiered strategy for high-capability access.

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The story around this

TopicMeta Muse Wonder ModelsCooling

Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.

Meta Launches Muse Spark 1.1 for AI Coding — TechCrunch AI1Meta Launches Muse Spark 1.1 — AI Explained2Meta's Muse Glimmer Model Now Available — Ollama Blog3Meta Muse Glimmer enables local AI on consumer GPUs — AI News4Meta returns to open-source with Muse Glimmer — The Rundown AI5Meta Releases Muse Glimmer Model — Fireship6Meta Offers Discounts for AI Model Data Sharing — TechCrunch AI7Meta Introduces Muse Spark 1.3 — Matt Wolfe8Meta launches frontier model Muse WonderMeta Muse Spark Open launches on Together AI — Together AI Blog9Meta releases Muse Spark Open, a massive open-weight coding model — Hugging Face Blog10Meta and Apple collaborate on running Muse AI on Macs — The Verge AI11DIY Muse Gadget proves Meta's hardware is just a dev kit — The Verge AI12Jul 9You are hereOct 31

How we got here

  1. 1
    Meta Launches Muse Spark 1.1 for AI Coding

    TechCrunch AI · July 9, 2026 · Related

  2. 2
    Meta Launches Muse Spark 1.1

    AI Explained · July 10, 2026 · Related

  3. 3
    Meta's Muse Glimmer Model Now Available

    Ollama Blog · August 10, 2026 · Related

  4. 4
    Meta Muse Glimmer enables local AI on consumer GPUs

    AI News · August 10, 2026 · Related

  5. 5
    Meta returns to open-source with Muse Glimmer

    The Rundown AI · August 11, 2026 · Related

  6. 6
    Meta Releases Muse Glimmer Model

    Fireship · August 12, 2026 · Related

  7. 7
    Meta Offers Discounts for AI Model Data Sharing

    TechCrunch AI · September 3, 2026 · Related

  8. 8
    Meta Introduces Muse Spark 1.3

    Matt Wolfe · September 4, 2026 · Related

What happened next

  1. 9
    Meta Muse Spark Open launches on Together AI

    Together AI Blog · October 15, 2026 · Related

  2. 10
    Meta releases Muse Spark Open, a massive open-weight coding model

    Hugging Face Blog · October 15, 2026 · Related

  3. 11
    Meta and Apple collaborate on running Muse AI on Macs

    The Verge AI · October 15, 2026 · Related

  4. 12
    DIY Muse Gadget proves Meta's hardware is just a dev kit

    The Verge AI · October 31, 2026 · Background

Follow this story

Open the full story →

Meta Launches Muse Wonder Frontier Models

4 developments

  1. Oct 12 · WIRED AI
    Meta Launches Muse Wonder Frontier Models
  2. Oct 12 · TechCrunch AI
    Meta launches frontier model Muse Wonder (This article)↳ Muse Wonder features active memory for long-term continuity and outperforms competitors on MemoryBench.
  3. Oct 13 · The Rundown AI
    Meta launches frontier Muse Wonder model
  4. Oct 13 · The AI Daily Brief
    Meta Releases Muse Wonder Models↳ Muse Wonder shows mixed results in real-world developer tests despite top benchmark scores.

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