Muse Spark
The first Muse model, with native multimodal reasoning, tools, visual chain of thought, and multi-agent orchestration.
FAMILY / META
Meta Superintelligence Labs’ new family spanning multimodal reasoning, agents, and image and video generation.
01 / RELEASE SEQUENCE
02 / GENERATIONS
The first Muse model, with native multimodal reasoning, tools, visual chain of thought, and multi-agent orchestration.
An agentic image model that uses search and code, self-refines, and supports single- and multi-image references.
A preview Muse video model emphasizing fidelity, temporal consistency, and native audio; not yet generally available.
Improved tools, computer use, coding, and multimodal understanding with a 1M-context Meta Model API preview.
The coding-focused predecessor to Muse Spark 1.3, released alongside the multi-agent Muse Code tool.
A 30B open model for always-on local agents, designed to run on one consumer GPU or a Mac or PC.
It extends Muse beyond multimodal reasoning into real-time voice input, supporting audio longer than an hour and more than 20 speakers.
Compared with 1.2, Meta engineers report roughly 20% fewer tool calls and 25% fewer tokens, with stronger practical performance on long-horizon agents.
Meta describes it as an audio-driven Diffusion Transformer; it reports 448×768 portrait video at 25 fps and about 870 ms from the end of a user turn to the first byte of the synchronized voice-and-video response.
Meta introduced Muse Wonder on 2026-10-12, offering it in preview through Meta Model API and in Muse Code. Official materials do not disclose parameter count, open weights, or license.
Meta released Muse Wonder Full on 2026-10-12 for Muse Code subscribers. Official materials do not disclose parameter count, open weights, or license.
Muse Spark Open extends Meta’s Muse line with downloadable full-size MoE checkpoints and local deployment and fine-tuning paths; no direct weight inheritance from Muse Spark 1.3 is inferred.