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Muse Spark Open

The most capable US open weights model to date

Open Source
Developer Tools
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Hunted byKPKP

Meta's open weights model built for coding and agentic work. 816B total parameters with 42B active, a 1M token context window and native multimodal input. Download the weights on Hugging Face or run it on two M5 Ultra Mac Studios with MLX.

Top comment

Hey PH community 👋

Excited to hunt Muse Spark Open today.

Meta just released the weights for Muse Spark Open, which they call the most capable US open weights model to date. It has 816B total parameters with 42B active, a 1M token context window and native multimodal input, and Meta says it was built for coding and agentic work like long horizon tasks and complex software engineering. Mark posted a look at it running on two Mac Studios here.

Running on your own desk is the part I'm most excited about. Meta worked with Apple so the full model fits across two M5 Ultra Mac Studios using MLX, and they tested real agent work fully on device, from shipping iOS fixes to the open source Mastodon app Ice Cubes to editing footage in DaVinci Resolve.

Agentic work is where Meta puts the headline numbers. They report 89.2 on MCP Atlas and 76.4 on Terminal Bench 2.1, and the model card frames it as a foundation for coding agents that plan, call tools and recover from failures over long workflows.

For builders, it's already live through Together AI, Fireworks, Groq, Baseten, Modal, Nebius and OpenRouter, and it runs on SGLang, vLLM, llama.cpp and Unsloth under the Muse Model License.

You can grab the weights on Hugging Face right now: https://huggingface.co/meta-models/Muse-Spark-Open-816B-A42B

Give it a spin and let the team know what you create with Muse Spark Open 🚀

PS: Tagging @alexandrw and @dps_ if you're here for any additional comments/ thoughts.

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About Muse Spark Open on Product Hunt

“The most capable US open weights model to date”

Muse Spark Open launched on Product Hunt on October 16th, 2026 and earned 77 upvotes and 1 comments, placing #15 on the daily leaderboard. Meta's open weights model built for coding and agentic work. 816B total parameters with 42B active, a 1M token context window and native multimodal input. Download the weights on Hugging Face or run it on two M5 Ultra Mac Studios with MLX.

Muse Spark Open was featured in Open Source (68.9k followers) and Developer Tools (521.2k followers) on Product Hunt. Together, these topics include over 105.5k products, making this a competitive space to launch in.

Who hunted Muse Spark Open?

Muse Spark Open was hunted by KP. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

Want to see how Muse Spark Open stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.