Muse Spark Open is Meta's answer to Qwen, GLM, and Kimi in the open-weight race
Meta released Muse Spark Open, an 816-billion-parameter open-weight model for coding, agents, and multimodal tasks.
Meta released Muse Spark Open, an open-weight model it calls the most capable US open-weight model, aimed at coding and agentic work. It has 816 billion parameters with 42 billion active, up to one million tokens of context, and text, image, video, and audio support. Meta says it leads Qwen 3.8, GLM 5.3, and Kimi K3 on agentic, knowledge, reasoning, and multimodal benchmarks but trails some rivals on coding and remains well behind paid Muse Wonder Full models. Weights are on Hugging Face under a free license that requires a "Built with Muse Spark Open" label; large API providers need a separate agreement.
- Muse Spark Open has 816 billion parameters, 42 billion active, and up to one million tokens.
- It handles text, image, video, and audio; weights are on Hugging Face.
- Meta says it beats Qwen 3.8, GLM 5.3, and Kimi K3 in several categories, not coding.
- It runs locally on two M5 Ultra Mac Studios with 512 GB unified memory each.
- API providers above $20 million yearly revenue need a separate Meta agreement.
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After 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.
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Text extracted automatically; images, tables and formatting may be missing. Original: https://the-decoder.com/muse-spark-open-is-metas-answer-to-qwen-glm-and-kimi-in-the-open-weight-race/