[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-glm-5-2-open-source-1m-context-long-tasks-en":3,"article-related-glm-5-2-open-source-1m-context-long-tasks-en":31,"series-model-release-54271426-cb3c-4580-b96d-04a260cae6a0":74},{"id":4,"slug":5,"title":6,"content":7,"summary":8,"source":9,"source_url":10,"author":11,"image_url":12,"cover_image":12,"category":13,"language":14,"translated_content":11,"related_article_id":15,"keywords":16,"key_takeaways":23,"views":27,"created_at":28,"published_at":29,"topic_cluster_id":30},"54271426-cb3c-4580-b96d-04a260cae6a0","glm-5-2-open-source-1m-context-long-tasks-en","GLM-5.2开源：1M上下文冲刺长程任务","\u003Cp data-speakable=\"summary\">智谱开源GLM-5.2，主打1M上下文、Coding和长程任务。\u003C\u002Fp>\u003Cp>智谱今天上线并开源\u003Ca href=\"https:\u002F\u002Fzhuanlan.zhihu.com\u002Fp\u002F2050513163658044507\" target=\"_blank\" rel=\"noopener\">GLM-5.2\u003C\u002Fa>，称其在全球百万用户参与的 Code Arena 前端开发评估中拿到“全球可用模型第一”。这版模型重点押注代码生成、长程任务和国产算力适配，并已同步开放 \u003Ca href=\"\u002Ftag\u002Fapi\">API\u003C\u002Fa>、Hugging Face、ModelScope 与开发工具接入。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>項目\u003C\u002Fth>\u003Cth>數值\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>上下文窗口\u003C\u002Ftd>\u003Ctd>1M\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Code Arena 排名\u003C\u002Ftd>\u003Ctd>全球可用模型第一\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>FrontierSWE\u003C\u002Ftd>\u003Ctd>比 Opus 4.8 低 1%\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>SWE-Marathon\u003C\u002Ftd>\u003Ctd>比 Opus 4.8 低 13%\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Terminal-Bench 2.1\u003C\u002Ftd>\u003Ctd>比 Opus 4.8 低 4%\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>MCP-Atlas\u003C\u002Ftd>\u003Ctd>比 Opus 4.8 低 0.8%\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>一次长程交付处理量\u003C\u002Ftd>\u003Ctd>88万 tokens\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>FLOPs 优化\u003C\u002Ftd>\u003Ctd>单位 token 降至 2.9 倍\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>What changed\u003C\u002Fh2>\u003Cp>GLM-5.2 的核心变化是把 1M 上下文做成可用能力，而不是只做长度数字。智谱称，它先扩展了 1M Coding \u003Ca href=\"\u002Ftag\u002Fagent\">Agent\u003C\u002Fa> 训练环境，再把自动化研究、性能优化等任务纳入训练，以减少长上下文在数百K后常见的退化问题。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782065869449-dgqt.png\" alt=\"GLM-5.2开源：1M上下文冲刺长程任务\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>在能力侧，GLM-5.2把重点放在三件事：更强的 Coding 体感、更稳的长程执行、以及更好的工程落地。官方给出的说法是，它在前端、后端和长程任务上的成功率都比上一代 GLM-5.1 提升，并在主流编程基准上保持开源模型中的领先位置。\u003C\u002Fp>\u003Cul>\u003Cli>1M 无损上下文，面向长链路任务\u003C\u002Fli>\u003Cli>支持 effort level，平衡能力、速度和成本\u003C\u002Fli>\u003Cli>已适配 vLLM、SGLang、transformers\u003C\u002Fli>\u003Cli>MIT License，允许下载、部署和商用\u003C\u002Fli>\u003C\u002Ful>\u003Cp>技术栈上，GLM-5.2 还引入 IndexShare、改进 MTP 投机解码，并用自研 Slime 框架支撑 Agentic RL 和 OPD 训练。智谱称，这些改动把长上下文推理成本压低，同时提升了接受长度和训练效率。\u003C\u002Fp>\u003Ch2>Why it matters\u003C\u002Fh2>\u003Cp>对开发者来说，GLM-5.2 的意义不只是“更会写代码”，而是能把一次任务拉长到完整工程周期。官方举例称，它曾在一次长程任务中处理 88 万 tokens，完成开发、联调、测试到上线，覆盖 Web、移动端和小程序，这类工作过去通常要团队协作数周。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782065868150-lsal.png\" alt=\"GLM-5.2开源：1M上下文冲刺长程任务\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>对市场来说，GLM-5.2 释放的是国产模型在开源、算力适配和 API 商用上的同步推进。它已在华为昇腾、平头哥、摩尔线程、寒武纪、昆仑芯、沐曦、海光、壁仞等平台完成推理适配，意味着企业可以更直接地把模型放进国产芯片集群和现有推理栈。\u003C\u002Fp>\u003Cp>智谱还把这版模型接入 GLM Coding Plan、AutoClaw 和 ZCode，指向的不只是代码助手，而是覆盖设计、法务、重构和办公流程的长程智能体工具链。\u003C\u002Fp>\u003Cp>真正的问题已经不是“模型能不能写代码”，而是它能否稳定接管一段跨天、跨周的工作流。GLM-5.2 试图回答的，正是这道题。\u003C\u002Fp>","智谱开源GLM-5.2，主打1M上下文、Coding和长程任务，API与主流推理框架同步支持。","zhuanlan.zhihu.com","https:\u002F\u002Fzhuanlan.zhihu.com\u002Fp\u002F2050513163658044507",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782065869449-dgqt.png","model-release","en","8d0595e5-788b-417c-a309-15d00e4558b8",[17,18,19,20,21,22],"GLM-5.2","智谱","开源模型","长程任务","Coding","1M上下文",[24,25,26],"GLM-5.2开源并开放API，主打1M上下文和长程任务。","官方称其在Code Arena拿到全球可用模型第一，并在多项编程基准上逼近Claude Opus 4.8。","模型已适配多家国产算力平台，面向开发者和办公智能体场景落地。",1,"2026-06-21T18:17:26.463894+00:00","2026-06-21T18:17:26.457+00:00","1bae1133-d241-4581-9332-fbf39690c319",{"tags":32,"relatedLang":33,"relatedPosts":37},[],{"id":15,"slug":34,"title":35,"language":36},"glm-5-2-open-source-1m-context-long-tasks-zh","GLM-5.2 開源：1M 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