Meta Models

Meta's open-weight frontier model — an 816B mixture-of-experts with 42B active, natively multimodal, built for coding and long-horizon agents, and able to run on two Mac Studios

Meta's first frontier-class model, closed-weight and built for personal and professional agents, with Active Memory across conversations and Active Focus on long goals; its larger sibling, Muse Wonder Full, is reserved for paid Muse Code subscribers

Meta's return to open weights — a 30B dense multimodal agent model under Apache 2.0, distilled from Muse Spark to run always-on local agents on a single consumer GPU

Meta's most capable Muse model, built for long-horizon agentic work — it collaborates, asks before consequential actions, and holds complex instructions across multi-step tasks

Coding-focused update to Muse Spark 1.1, released alongside Muse Code, Meta's terminal coding agent

Meta Superintelligence Labs' strongest model for agentic and coding work — the first Muse model developers can build on, via the new Meta Model API

Meta Superintelligence Labs' first model — a natively multimodal reasoning model with contemplating mode and multi-agent orchestration

Meta's flagship multimodal model (RESEARCH PREVIEW ONLY - weights not publicly released)

Meta's balanced multimodal MoE model with 128 experts for general use

Meta's efficient multimodal model with industry-leading 10M token context

Meta's latest improved Llama model with enhanced capabilities

Meta's largest and most capable open-source model

Meta's updated flagship open-source model

Meta's efficient smaller model with extended context

Meta's original flagship open-source model

Meta's specialized code generation model

Meta's previous generation flagship open-source model