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Meta releases Muse Spark Open for coding and agentic work
- Who
- Meta
- What
- released Muse Spark Open, an open weight multimodal model
What happened
Meta announced Muse Spark Open, describing it as the most capable US open-weight model to date, built for coding, agentic work, and multi-step reasoning. NVIDIA AI says the 816B model was trained on NVIDIA GB300 NVL72 and has a 1M-token context window for working across large codebases. Meta also produced NVFP4 checkpoints optimized for Blackwell Ultra.
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The story so far
Meta released downloadable weights for Muse Spark Open, a multimodal model built for coding and agentic work, with local Mac and cloud deployment options. Artificial Analysis ranks it first among US open-weight models on its Intelligence Index, with a score of 39 at the xhigh setting. The model has approximately 816 billion parameters, 42 billion active per token, and up to one million tokens of context. It accepts text, images, audio and video and generates text. Meta says it can run on two Apple M5 Ultra Mac Studios using MLX; Baoyu reports that the configuration uses 512GB of unified memory per machine. vLLM says its support is verified on NVIDIA and AMD GPUs and TPUs. Ollama Cloud offers access through Pro, Max, Pay-as-you-go and Teams plans. Amazon SageMaker JumpStart offers BF16 and NVFP4 variants in US East (N. Virginia) and US East (Ohio) at launch, charging for endpoints whenever they are running, including while idle. The Decoder reports that free use requires the label “Built with Muse Spark Open.” Baoyu reports that attribution and usage restrictions apply, and businesses selling API access to the model or modified versions must notify Meta and sign a separate agreement if their combined revenue with affiliates exceeded $20 million over the preceding 12 months.
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