Meta opens 816B-parameter Muse Spark Open for coding and agent work

The release, called Muse Spark Open, is described by Meta as the most capable open-weight model to come out of a U.S. lab so far, according to SiliconANGLE. Only 42 billion of the model's 816 billion parameters switch on for any given token. Prompts can mix text with images, audio or video, and Meta has set the context window at up to 1 million tokens.

The starting point was Muse Spark 1.2, shipped in August, after which Meta added safety post-training so the model holds up without the guardrails of Meta's own services. Meta said Muse Spark Open cleared the release thresholds in its Meta Superintelligence Scaling Framework, with a full evaluation report still to come. A technical writeup from Hugging Face says training leaned on what Meta calls real developer workflows, including multi-file refactors and long debugging sessions.

Meta also tested the model away from the data center, on a pair of Apple Mac Studio desktops with M5 Ultra chips that Apple's MLX framework linked into one system. The two machines had about a terabyte of memory between them. Muse Code ran on that setup while the coding terminal worked through bug fixes and new features for the open-source Mastodon client Ice Cubes. Footage in DaVinci Resolve was the other test, and the model went through it frame by frame to pick out and crop the best shots for vertical video.

In Meta's own benchmark table, Muse Spark Open scored 61.8 on the JobBench agent test, more than twice the 31.1 recorded by Inkling, the U.S. open model from Thinking Machines Lab. Nvidia's Nemotron 3 Ultra trailed further at 27.2.

Chinese open models are stronger at coding. Kimi K3 led the Terminal-Bench 2.1 coding test at 85, and GLM 5.3 and Qwen3.8 both finished above Muse Spark Open's 76.4.

On tool use the order flips. Muse Spark Open's 89.2 on MCP-Atlas beat every rival Meta listed, the Chinese models included. That benchmark gives a model plain-language tasks without naming the tools needed to complete them, leaving it to work out which of 220 tools across 36 live Model Context Protocol servers to call, and in what order.

The weights come with a new Muse Model License carrying what Meta calls limited commercial terms. No fee applies to developers who adapt the model or ship it inside their own software. Meta requires a separate agreement from any company that sells the model as a hosted service and has passed $20 million in gross revenue over a 12-month period. Products built on it have to show a "Built with Muse Spark Open" label, and military and critical infrastructure uses are off-limits.

Meta's previous open-weight release was the much smaller Muse Glimmer, a 30-billion-parameter model that went out in August. The company's most capable systems remain closed, and the Muse Wonder models introduced Monday are available only through the Meta Model API and Muse Code.

Seven inference providers offer hosted access at launch, Groq and Fireworks AI among them. The weights can also be downloaded from Hugging Face or from the model catalogs of Amazon Web Services, Google and Microsoft.

Editor's Summary

Meta has opened the weights of Muse Spark Open, an 816-billion-parameter model aimed at coding and long-running agent tasks, after keeping the Muse Spark line closed since April. Its license bars hosted resale for companies above $20 million in gross revenue, requires a "Built with Muse Spark Open" label on products, and excludes military and critical infrastructure uses. Meta's benchmark figures put the model ahead of other U.S. open releases on agent and tool-use tests, while Chinese open models still lead on coding tests.