Muse Spark Open is Meta's answer to Qwen, GLM, and Kimi in the open-weight race
Quick Answer
Meta has launched Muse Spark Open, a new open-weight model with 816 billion parameters, outperforming competitors like Qwen 3.8 and GLM 5.3 in various benchmarks but still lagging behind its paid Muse Wonder Full models.
Quick Take
The model is optimized for Apple's M5 Ultra and is available for free with specific usage requirements.
Key Points
- Muse Spark Open features 816 billion parameters and supports multimodal tasks.
- It excels in Agentic, Knowledge & Reasoning, and Multimodal categories on benchmarks.
- The model runs locally on two Mac Studios with 512 GB of unified memory each.
- Free to use with a requirement to label as 'Built with Muse Spark Open'.
- Providers earning over $20 million annually need a separate agreement with Meta.
📖 Reader Mode
~1 min readAfter its Llama series, Meta is returning to open-weight territory with Muse Spark Open. Meta calls it the most capable US open-weight model, built for coding and agentic tasks, with 816 billion parameters (42 billion active), up to one million tokens of context, and support for text, image, video, and audio. On benchmarks like JobBench, MCP-Atlas, HLE-Diamond, and ZeroBench, Meta says it scores well ahead of Qwen 3.8, GLM 5.3, and Kimi K3 in several categories but still falls well short of Meta's paid Muse Wonder Full models.
The model is optimized for Apple's M5 Ultra and runs locally on two Mac Studios with 512 GB of unified memory each, according to Meta. Weights are on Hugging Face. The license is free to use but requires the label "Built with Muse Spark Open." Providers pulling in more than $20 million a year who want to offer the model as an API service need a separate agreement with Meta. More details are in the research blog.
— Originally published at the-decoder.com
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