Meta has introduced two new frontier models designed to carry out complex personal and professional tasks using long-term memory, sustained reasoning, and software tools.
The company says the models, Muse Wonder and Muse Wonder Full, deliver state-of-the-art performance across several evaluations covering business automation, coding, contextual memory, and professional work. The announcement did not provide numerical benchmark scores in the supplied text, making it difficult to independently assess the size of the performance gains.
Muse Wonder is available through the Meta Model API and Muse Code, while Muse Wonder Full is available to Muse Code subscribers. Meta plans to integrate Muse Wonder into its consumer assistant, initially for subscribers, and use it to generate digital artifacts and handle tasks requiring more advanced reasoning.
The release follows Meta’s introduction of Muse Spark and comes 14 months after the company began rebuilding its artificial intelligence infrastructure. The new models were trained at its gigawatt-scale Prometheus data center, reflecting Meta’s investment in larger computing systems and more capable models.
A central feature of Muse Wonder is Active Memory, which allows the model to retain relevant information across conversations and retrieve it when needed.
Rather than requiring users to repeat earlier instructions, the system is designed to recognize when previously shared details matter to a new task. This could help personal assistants handle work involving preferences, documents and ongoing projects.
We’re excited to introduce the Muse Wonder series with Muse Wonder and Muse Wonder Full, our most capable models yet. Both are frontier models, built to deliver state-of-the-art performance for personal and professional agentic tasks.
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