Q&A with Mark Zuckerberg and Alexandr Wang on the Muse app, Muse Wonder, the risks of committing $100B+ to AI, rebooting Meta's AI team, agentic commerce, more (Cheeky Pint)

Meta Platforms released two new artificial intelligence models on Monday, Muse Wonder and Muse Wonder Full, which the company describes as its most capable models to date. Meta stated these models are intended for longer, multistep tasks, such as handling insurance claims, and possess strengths in coding, law, finance, and health.

The models introduce two new capabilities: Active Memory, which carries relevant information across conversations, and Active Focus, which helps the agent sustain work on difficult tasks by attempting different approaches and checking in with the user.

Meta AI chief Alexandr Wang described the models as "true frontier models," and CEO Mark Zuckerberg stated the company has reached the "frontier" of AI capabilities. The models were trained at the Prometheus data center and feature a 1 million-token context window that allows prompts to mix text with video, audio, and images, though responses are provided only in text.

While Meta compares these models to OpenAI’s GPT-6 Astra and Anthropic’s Claude models, Bindu Reddy, CEO of Abacus.AI, challenged the performance claims on X, stating Muse Wonder was "nowhere near Fable or Astra level."

According to Cointelegraph, the standard Muse Wonder model charges $4 per million input tokens, which matches Claude Opus 5.5 but is less expensive than GPT-6 Astra ($10) and Claude Fable 5.1 ($50). Muse Wonder Full is available exclusively to subscribers of Muse Code’s $50 a month “power usage” or $200 a month “maximum usage” tiers. Artificial Analysis scored Wonder Full at 56 on its Intelligence Index and the standard Wonder at 52 when running at maximum reasoning effort.

Brief written by urgent.news from Techmeme, Cointelegraph, The Business Times - Companies & Markets, SiliconANGLE, Semafor — 5 reports on this story. Machine-written — may contain errors; check the original before relying on it.