{"version":"1.0","generated_at":"2026-10-01T10:28:12.834452","id":1317,"slug":"minimax-m3-msa","title":"MiniMax 开源 M3 模型权重及 MSA 技术论文","summary":"MiniMax 开源 428B 参数、23B 激活的 M3 模型，发布 MSA 稀疏注意力技术，降低长上下文成本，性能领先。","abstract":"MiniMax 开源 M3 模型权重及 MSA 技术论文 MiniMax 开源 428B 参数、23B 激活的 M3 模型，发布 MSA 稀疏注意力技术，降低长上下文成本，性能领先。 MiniMax 开源 428B 参数 M3 模型，23B 激活。 MSA 稀疏注意力降低长上下文计算成本。 M3 是多模态预训练开源模型。 发布两周获多项基准第一。 输出速度从 30 TPS 提升至 80 TPS。 MiniMax 上周五开源了 428B 总参数、23B 激活参数的 M3 模型权重，同步发布 MSA（MiniMax Sparse Attention）技术论文，该架构显著降低长上下文计算成本。M3 是首个从预训练阶段就进行文本、图像等多模态交错混合训练的开源模型。发布两周后，M3 在 Artificial Analysis 综合智能指数、GDPval-AA 排行榜均获开源模型第一，Code Arena WebDev 跻身帕累托最优序列，Vals.AI 榜单居国产模型首位。输出速度已从约 30 TPS 提升至约 80 TPS，计划再提速 30-40%；Token Plan 后台新增调用量看板。 这是什么信号？ MiniMax 开源了 M3 模型权重和 MSA 技术论文，M3 是一个 428B 总参数、23B 激活的稀疏注意力多模态模型，从预训练开始就融合文本和图像，显著降低了长上下文的计算成本。这标志着开源大模型在效率和规模上迈出了重要一步。 为什么重要？ M3 在多个基准测试中取得开源模型第一，证明稀疏注意力架构能在不牺牲性能的前提下降低推理成本，这对于部署长上下文应用（如文档分析…","access_level":"public","access_label":"公开","access_mode":"full","is_preview":false,"canonical_url":"https://opc.beizhux.com/content/1317/minimax-m3-msa","html_url":"https://opc.beizhux.com/content/1317/minimax-m3-msa","json_url":"https://opc.beizhux.com/content/1317/minimax-m3-msa.json","published_at":"2026-06-15T22:40:02","updated_at":"2026-10-01T09:55:21","category":{"slug":"hotspots","name":"全球热点解读"},"source":{"site":"mp.weixin.qq.com","author":"公众号：MiniMax（稀宇科技）","url":"https://mp.weixin.qq.com/s/AW6L89QZkwN-jD27hQ84ww"},"tags":["AI","AIHOT 精选","AI模型","M3","MiniMax","多模态","开源","研究","稀疏注意力"],"topics":[{"slug":"ai-daily","name":"AI日报","url":"https://opc.beizhux.com/topics/ai-daily","reason":"这篇内容命中「热点解读」等主题信号。"},{"slug":"ai-tools","name":"AI工具","url":"https://opc.beizhux.com/topics/ai-tools","reason":"这篇内容命中「模型」等主题信号。"},{"slug":"ai-content-growth","name":"AI内容增长","url":"https://opc.beizhux.com/topics/ai-content-growth","reason":"这篇内容命中「公众号」等主题信号。"}],"keywords":["全球热点解读","AI日报","AI工具","AI内容增长","每日AI日报","AI信号","热点解读","BuilderPulse","工具","自动化","模型","Cursor"],"questions":[{"question":"MiniMax 开源 M3 模型权重及 MSA 技术论文主要讲什么？","answer":"MiniMax 开源 428B 参数、23B 激活的 M3 模型，发布 MSA 稀疏注意力技术，降低长上下文成本，性能领先。"},{"question":"这篇文章最值得关注的要点是什么？","answer":"MiniMax 开源 428B 参数、23B 激活的 M3 模型，发布 MSA 稀疏注意力技术，降低长上下文成本，性能领先。；MiniMax 开源 428B 参数 M3 模型，23B 激活。；MSA 稀疏注意力降低长上下文计算成本。；M3 是多模态预训练开源模型。"},{"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、AI内容增长专题里阅读。 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「公众号」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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