Meta Muse Wonder and Wonder Full: features and current access

Meta introduced Muse Wonder and Wonder Full for agentic tasks. Here is what the models are designed to do, where Meta says they are available, and what remains unconfirmed.

Quick answer

Meta introduced Muse Wonder and Muse Wonder Full on October 12, 2026, describing them as models for personal and professional agent tasks. Meta highlights Active Memory for retrieving useful context across conversations and Active Focus for continuing through a difficult task, asking for clarification, and checking before important actions. The company says Muse Wonder is available through its Model API and Muse Code, while Wonder Full is for Muse Code subscribers; access in Meta's consumer Muse app is planned but not yet dated. Neither exact model is listed in Chat AI's public directory, so availability there is unverified.

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Meta designed Muse Wonder for agent tasks that continue over time

Meta says Muse Wonder and Muse Wonder Full build on Muse Spark and are intended for personal and professional work, including understanding documents, coding, and tasks involving law, finance, and health information. The announcement highlights two capabilities: Active Memory, which retrieves relevant context across conversations, and Active Focus, which can try alternate approaches, work through blockers, request clarification, and check in before important actions. These describe Meta's design goals and evaluations, not a guarantee that an agent will complete every task correctly.

Sources: Meta Newsroom, Meta AI Research

Muse Wonder and Wonder Full have different announced access routes

Meta says Muse Wonder is available to developers and builders through Meta Model API and Muse Code. Muse Wonder Full is available to Muse Code subscribers. Meta says Muse Wonder will later power experiences in its consumer Muse product, rolling out first to subscribers, but it has not provided a date for that rollout. The announcement does not say that the models are open-weight releases.

Sources: Meta Newsroom, Meta AI Research

Meta says privacy and action safeguards are part of the release

Meta says the models were trained to avoid sharing private information without permission, refuse harmful requests, and check in before important actions. Its research overview also describes evaluations for memory, sustained work, and coding. Meta says a fuller report with additional safety evaluations will be available later, so the launch announcement is not a complete independent safety assessment. Review permissions and verify consequential actions when using any agent with access to personal data or connected tools.

Sources: Meta Newsroom, Meta AI Research, Meta AI Research

Muse Wonder availability in Chat AI is unverified

Neither Muse Wonder nor Muse Wonder Full appears by exact name in Chat AI's public model directory. This article does not claim either model is available in Chat AI. Check the current model directory or in-app selector for verified listings.

Sources: Chat AI

Frequently asked questions

What readers usually ask

What are Muse Wonder and Muse Wonder Full?

They are Meta's newly announced models for personal and professional agent tasks. Meta highlights Active Memory for retrieving relevant context across conversations and Active Focus for persisting through a task while asking for clarification or checking before important actions.

Where can people use Muse Wonder now?

Meta says Muse Wonder is available through Meta Model API and Muse Code. Muse Wonder Full is available to Muse Code subscribers. Meta says Muse Wonder will later come to its consumer Muse product, first for subscribers, but did not announce a date.

Are Muse Wonder models open weights?

Meta's announcement describes access through its API and Muse Code; it does not announce an open-weight release for Muse Wonder or Muse Wonder Full.

Are Muse Wonder or Wonder Full available in Chat AI?

Their availability is unverified. Neither exact model appears in Chat AI's public model directory, so check the current catalog rather than assuming access.

Evidence

Sources

  1. Muse Wonder and Muse Wonder Full announcementMeta Newsroom · Primary source
  2. Muse Wonder research overviewMeta AI Research · Primary source
  3. Muse Wonder model cardMeta AI Research · Primary source
  4. Chat AI model directoryChat AI · Primary source