Meta's Superintelligence Lab released Muse Wonder and Muse Wonder Full on Monday, marking the company's first attempt at a frontier model. The new models are larger and more capable than the earlier lightweight Muse Spark, with higher benchmark scores and better performance on complex tasks such as coding.
According to Meta's testing, Wonder and Wonder Full achieve benchmark scores comparable to Fable 5.1 and GPT-6 Astra. The company described the release as "the next step on our scaling ladder and a major leap toward personal superintelligence."
The models are priced through the Meta Model API at $4 per million input tokens and $20 per million output tokens, roughly equivalent to GPT-6 Sol or Opus 5.5. Wonder Full, however, will only be available to Muse Code subscribers and will not be served through the API. Both models will also power the Muse agent.
Meta emphasized the models' "active memory" capabilities, designed to retain and synthesize user information over extended periods. The company highlighted its MemoryBench benchmark, on which Muse Wonder reportedly scores higher than Fable, Opus, or Astra. Research scientist Kavya Kopparapu said in a launch video: "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."
The release is Meta's first frontier model since Alexandr Wang restructured the company's AI efforts in August last year. Since then, Meta has launched the lightweight Muse Spark and the Muse agent, but had avoided state-of-the-art releases typical of OpenAI and Anthropic. The models were trained at Meta's Prometheus data center in central Ohio, which came online earlier this year.