{"version":"1.0","generated_at":"2026-10-16T10:57:20.483747","id":3441,"slug":"muse-spark-open-is-meta-s-answer-to-qwen-glm-and-kimi-in-the-open-weight-race","title":"Muse Spark Open：Meta 在开放权重竞赛中对 Qwen、GLM 和 Kimi 的回应","summary":"Meta 推出 Muse Spark Open，重返开放权重赛道。该模型 8160 亿参数（420 亿活跃），支持最高 100 万 token 上下文与文本、图像、视频、音频多模态，在多个基准上称领先 Qwen 3.8、GLM 5.3 和 Kimi K3，但仍低于其付费 Muse Wonder Full 模型。权重在 Hugging Face，免费许可需标注，年收入超 2000 万美元的 API 服务商需另签协议。","abstract":"Muse Spark Open：Meta 在开放权重竞赛中对 Qwen、GLM 和 Kimi 的回应 Meta 推出 Muse Spark Open，重返开放权重赛道。该模型 8160 亿参数（420 亿活跃），支持最高 100 万 token 上下文与文本、图像、视频、音频多模态，在多个基准上称领先 Qwen 3.8、GLM 5.3 和 Kimi K3，但仍低于其付费 Muse Wonder Full 模型。权重在 Hugging Face，免费许可需标注，年收入超 2000 万美元的 API 服务商需另签协议。 Meta 推出 Muse Spark Open，重返开放权重赛道。该模型 8160 亿参数（420 亿活跃），支持最高 100 万 token 上下文与文本、图像、视频、音频多模态，在多个基准上称领先 Qwen 3.8、GLM 5.3 和 Kimi K3，但仍低于其付费 Muse Wonder Full 模型。权重在 Hugging Face，免费许可需标注，年收入超 2000 万美元的 API 服务商需另签协议。 原贴提到：After its Llama series, Meta is returning to open-weight territory with 来源：the-decoder.com 在 Llama 系列之后，Meta 正以 Muse Spark Open 重返开放权重领域。 Meta 称其是最具能力的美国开放权重模型，为编码和智能体任务打造，拥有 8160 亿参数（420 亿活跃），最高 100 万 token 上下文，并支持文本、图像、视频…","access_level":"public","access_label":"公开","access_mode":"full","is_preview":false,"canonical_url":"https://opc.beizhux.com/content/3441/muse-spark-open-is-meta-s-answer-to-qwen-glm-and-kimi-in-the-open-weight-race","html_url":"https://opc.beizhux.com/content/3441/muse-spark-open-is-meta-s-answer-to-qwen-glm-and-kimi-in-the-open-weight-race","json_url":"https://opc.beizhux.com/content/3441/muse-spark-open-is-meta-s-answer-to-qwen-glm-and-kimi-in-the-open-weight-race.json","published_at":"2026-10-16T02:34:32","updated_at":"2026-10-16T09:56:09","category":{"slug":"hotspots","name":"全球热点解读"},"source":{"site":"the-decoder.com","author":"Matthias Bastian","url":"https://the-decoder.com/muse-spark-open-is-metas-answer-to-qwen-glm-and-kimi-in-the-open-weight-race/"},"tags":["AI 基准测试","Hugging Face","Meta","Muse Spark 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returning to open-weight territory with；来源：the-decoder.com"},{"question":"这篇文章和哪些AI专题相关？","answer":"它适合放在AI日报、AI工具、Agent工作流专题里阅读。 关联原因：这篇内容命中「热点解读」等主题信号。；这篇内容命中「模型」等主题信号。；这篇内容命中「智能体」等主题信号。"},{"question":"阅读这篇文章建议先理解哪些关键词？","answer":"建议先理解AI日报、每日AI日报、AI信号、热点解读、BuilderPulse这些关键词，再结合正文判断工具、机会或风险是否值得进入自己的工作流。"}],"terms":[{"slug":"ai-daily-term","name":"AI日报","definition":"在AI觉醒星球里，「AI日报」属于「AI日报」方向。持续整理每日AI日报、模型更新、工具变化和行业信号，帮你快速判断哪些信息值得收藏、验证和行动。 每天先看趋势，再决定今天该试什么。","topic_slug":"ai-daily","topic_name":"AI日报","topic_title":"AI日报：每日AI信号、工具动态与行动判断","topic_url":"https://opc.beizhux.com/topics/ai-daily","topic_path":"/topics/ai-daily","url":"https://opc.beizhux.com/glossary/ai-daily-term","path":"/glossary/ai-daily-term","json_url":"https://opc.beizhux.com/glossary/ai-daily-term.json"},{"slug":"daily-ai-briefing","name":"每日AI日报","definition":"在AI觉醒星球里，「每日AI日报」属于「AI日报」方向。持续整理每日AI日报、模型更新、工具变化和行业信号，帮你快速判断哪些信息值得收藏、验证和行动。 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