Meta launches Muse Wonder and Muse Wonder Full for AI agents

Meta announced both on 12 October and says they are state of the art on agent tasks in personal and professional settings. The model card says both take text, images, video and audio as input, produce text and are not intended for people under 18.

Meta trained both at Prometheus, its gigawatt-scale data centre, and highlights two behaviours: Active Memory, which carries what matters about a person from one conversation to the next, and Active Focus, which keeps the model on difficult goals and has it check with the user before important steps.

Price and access

On the Meta Model API, Muse Wonder (muse-wonder-1.0) costs $4.00 per million input tokens and $20.00 per million output tokens. Artificial Analysis notes that Muse Spark 1.3 was priced at $1.25 and $4.25.

Both models have a 1M-token context window. Muse Wonder Full (muse-wonder-full-1.0) has no per-token price: it comes with Muse Code, Meta’s multi-agent coding tool for the terminal, on the Power Usage plan at $50 a month or the Maximum Usage plan at $200 a month.

Key numbers

• Terminal-Bench 4.0, in Artificial Analysis’s own tests for its Intelligence Index v4.3, at maximum effort: 52% for Muse Wonder and 57% for Muse Wonder Full, up from 33% for Muse Spark 1.3
• Muse Wonder Full narrowly ranks first on CritPt and GDP.pdf, at 33% each, and is in the top three on six of the index’s ten evaluations
• $4.52 per task in the index for Muse Wonder, against $1.60 for Muse Spark 1.3, because of higher prices and heavy input use

Safety

Meta calls Muse Wonder its most aligned model and says it carries Meta’s strongest safeguards against chemical, biological, radiological, nuclear and cyber misuse. Its model card says Meta cannot rule out that the model, without those safeguards, would reach Meta’s high risk threshold for chemical and biological threats; with them, Meta rates it “moderate or lower” in every domain. Meta hasn’t published the full safety report its announcement mentions.