According to AI at Meta on X, Meta trained its Muse models, including Muse Wonder, on the Prometheus supercluster, reporting 85%+ pretraining goodput, 90%+ RL goodput, and about 47K GPU hours mean time between interruptions.

According to DeepLearning.AI, Claude Haiku 5.5 debuts at $0.10/$0.50 per million tokens, Microsoft-Decision-1 offers calibrated one-pass routing at $0.042 per million input tokens, Meta’s Muse Wonder is priced at $4/$20 per million tokens, and Gemini 4 Argon widens output to 1M tokens with $2/$10 intro pricing until Nov 30.

According to AI at Meta via its researcher blog, the Muse Wonder and Muse Wonder Full models achieve state of the art performance on personal and professional agentic tasks.

According to AI at Meta, a human-led scaffold using Muse Spark 1.3 and Muse Wonder analyzed 5M de-identified EHRs to speed hypothesis generation and produced 10 manuscripts.

According to The Rundown AI, Meta released Muse Wonder, with Wonder Full scoring 56 on Artificial Analysis’ Intelligence Index and leading Opus 5.5 on DeepSWE, SWE-Marathon, and MemoryBench; it is available now via Meta Model API and Muse Code.

According to AI at Meta via X, Meta introduced Muse Wonder and Muse Wonder Full frontier models, with Muse Wonder available via the Meta Model API and Muse Code, and Muse Wonder Full available to Muse Code subscribers.