About this model
Muse Wonder is Meta's frontier reasoning model, built for long-horizon agentic work rather than single-turn chat. Released in October 2026, it accepts an unusually broad set of inputs — text, images, video, audio, and PDF documents — and returns text, all within a 1,048,576-token context window that makes whole-repository, whole-casefile, or whole-archive reasoning practical in a single session.
Within Meta's lineup it occupies the frontier reasoning tier, sitting well above the open-weight Llama text models such as Llama 3.3 70B and the compact Llama 3.2 3B, and complementing the image-generation side of the Muse family in Muse Image. Its distinguishing behaviour is agentic autonomy: it plans multi-step work, delegates to sub-agents, issues tool calls in parallel, searches the web, and recovers from failed steps instead of stalling.
That combination makes Muse Wonder best suited to complex, multi-hour tasks where a user states a goal rather than a sequence of instructions — research synthesis across large document sets, multimodal analysis, software engineering spanning many files, and tool-driven workflows that need to run to completion unattended.
This About section is AI-generated from public sources (Claude Opus 5), with no human editing. It may contain inaccuracies — verify critical details against the sources listed above.
Data sources: Venice API · HuggingFace · Wikipedia — enrichment updated 1h ago