Meta Launches Muse Wonder Models, Its First Frontier AI Release

Meta’s Superintelligence Lab released two new AI models on Monday, October 13, 2026 — Muse Wonder and Muse Wonder Full — marking the company’s first entry into frontier-level AI model territory.

Unlike the earlier Muse Spark, which was designed as a lightweight, low-latency model, the Wonder models are larger and intended for more complex tasks, including coding. Meta says both achieve benchmark scores comparable to Fable 5.1 and GPT-6 Astra. The models were trained at Meta’s Prometheus data center in central Ohio, which came online earlier this year.

Accessed through the Meta Model API, Muse Wonder is priced at $4.00 per million input tokens and $20.00 per million output tokens — roughly equivalent in cost to GPT-6 Sol or Opus 5.5. Muse Wonder Full, however, will not be available via the API and is exclusive to Muse Code subscribers. Both models will power the Muse agent.

A central focus of the release is what Meta calls “active memory” — the models’ ability to retain and synthesize user-provided information over extended periods. Meta’s testing shows Muse Wonder scores higher on the MemoryBench benchmark, which evaluates continual learning and memory construction, than Fable, Opus, or Astra. “We put a tremendous amount of effort into making sure your model can remember what’s important to you over days, weeks, months and beyond,” said research scientist Kavya Kopparapu in a video accompanying the launch.

The release is the first frontier model to come out of Meta since Scale AI founder Alexandr Wang restructured the company’s AI efforts in August of last year. Since that reorganization, Meta had released only the lightweight Muse Spark model and the Muse agent, leaving the kind of high-capability model releases associated with OpenAI and Anthropic largely unaddressed — until now.