From Decrypt · By Jose Antonio Lanz
In brief
Meta released Muse Wonder and Muse Wonder Full on Monday, the first frontier-class models from Meta Superintelligence Labs, with a 1 million token context window.
On Meta's own charts, Wonder Full leads GPT-6 Astra and Claude Opus 5.5 on long-horizon coding, legal agent work and memory, but Artificial Analysis ranks Opus 5.5 first at 58 versus Wonder Full's 56.
The API version, Muse Wonder, costs $4 per million input tokens and $20 per million output tokens, the same as Opus 5.5 and below GPT-6 Astra's $10 and $50.
Meta released Muse Wonder and Muse Wonder Full on Monday, the first models from its Superintelligence Labs that the company is willing to put head-to-head with the best from OpenAI and Anthropic.
“Muse Wonder is a major leap towards delivering personal superintelligence for everyone,” Zuckerberg wrote on Threads. “Congrats to everyone on our team for achieving this milestone. I’m looking forward to seeing how you all use it.”
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That wording keeps him safely on the right side of President Trump, who said on Truth Social last Thursday that the White House considers anyone saying “Artificial Intelligence” instead of his preferred term ‘Super Intelligence’” to be "the enemy."
Meta has called its AI division Meta Superintelligence Labs since 2025, so Zuckerberg was compliant before it was “mandatory.”
Introducing Muse Wonder, our new family of frontier models with state of the art performance for personal and professional agentic work. pic.twitter.com/NKHrybrGKQ
— Mark Zuckerberg (@finkd) October 12, 2026
Meta's announcement rests on two features: Active Memory, which carries what you told the model in one conversation into the next, and Active Focus, which keeps it grinding at a hard goal, trying new approaches and checking in with you before doing anything important.
Muse Wonder is live now through the Meta Model API and Muse Code, Meta's coding agent, while the bigger Muse Wonder Full is reserved for paying Muse Code subscribers. Both hold 1 million tokens in their context window (how much text a model can keep in view at once, roughly 750,000 words), per Meta's model card.
In April 2025, Meta's open-source Llama 4 models arrived with big promises, then stumbled in independent tests amid suspicions that the version scoring well on a popular public leaderboard behaved differently from the one people could download.
Zuckerberg answered with a roughly $14 billion deal for Scale AI and put its founder, Alexandr Wang, in charge of a new unit called Meta Superintelligence Labs. Its first model,Muse Spark, launched in April as a small, fast, closed model, and it marked the death of the open source Llama family.