Meta released the Muse Wonder frontier model on Oct. 13, a much larger successor to Muse Spark that Meta says leads on personal and professional agent tasks and in finance and legal evaluations, with strong coding results on DeepSWE, SWE-Marathon and Terminal-Bench 4, plus an improved "active memory" system tested on its internal Memory Bench. The model is available through Meta's model API and OpenRouter, with Muse Wonder Full reserved for Muse Code subscribers; Cursor also added it, reporting a 46.1% CursorBench score at default effort and pricing of $4 per million input and $20 per million output tokens. In a podcast interview, Zuckerberg and Meta Superintelligence Labs chief AI officer Alexandr Wang said running a 1 GW cluster costs about $15 billion a year with $50–60 billion in capex, that training a frontier model now runs into tens of billions of dollars, and that Meta committed $100–200 billion before seeing any model results.

Meta·Muse Wonder·Meta Superintelligence Labs·+5