Meta Launches Muse Wonder AI Models

Futuristic AI agent workspace representing Meta Muse Wonder

Meta launched Muse Wonder and Muse Wonder Full on October 12, 2026, calling them its most capable AI models yet. Muse Wonder is available now through the Meta Model API and Muse Code; Muse Wonder Full is limited to Muse Code subscribers. Meta says the models target long-running personal and professional agents, coding, computer use, law, finance and other multi-step work.

AI at Meta’s launch post for the Muse Wonder family.

Confirmed specs: Meta’s developer documentation lists a 1,048,576-token context window for muse-wonder-1.0. Standard API pricing is $4 per million input tokens, $0.20 per million cached-input tokens and $20 per million output tokens. Meta describes Muse Wonder as a preview model; Wonder Full does not currently have public per-token API pricing.

Background on Meta’s Muse personal-agent platform, which Muse Wonder is designed to power.

The technical theme is persistence. Meta calls its cross-conversation retrieval system Active Memory and its long-horizon execution system Active Focus. The company says Wonder can recover from errors, try alternate approaches, delegate to sub-agents and ask before consequential actions. Meta also says both models were trained at its gigawatt-scale Prometheus data center.

Alexandr Wang comments on Meta’s new frontier-model release.

Claim versus fact: Meta says the Wonder family reaches state-of-the-art results across several agent, memory and coding evaluations. Those benchmark comparisons are company-reported and should not be treated as independent confirmation. A fuller safety report is also still forthcoming. Reuters separately reported the launch as Meta’s latest push against OpenAI and Anthropic.

The release extends a fast-moving stack BitcoinVersus.Tech has been tracking: Muse hardware, open-source Muse gadgets, and competing always-on agents such as OpenAI Dots.

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