Meta 发布 Muse Spark Open 模型，应对 Qwen、GLM 和 Kimi 的开放权重竞赛
Muse Spark Open is Meta's answer to Qwen, GLM, and Kimi in the open-weight race
Meta 发布了 Muse Spark Open 模型，这是一款针对编码和智能体任务构建的开放权重模型，参数量达到 816 亿（42 亿活跃），支持文本、图像、视频和音频，并在多个基准测试中领先于 Qwen 3.8、GLM 5.3 和 Kimi K3。该模型针对 Apple 的 M5 Ultra 进行优化，可在两台配备 512 GB 统一内存的 Mac Studio 上本地运行。
原文给出了能力变化和开放入口，读者可以据此判断它会怎样改变现有工作流。
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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来源：The Decoder · the-decoder.com