[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-slug-glm-5-2-coding-plan-zhipu-open-source":3,"news-related-d63524e2-85bc-484c-b4e7-7fac32c3ac08":36},{"id":4,"title":5,"summary":6,"content":6,"original_url":7,"source_id":8,"tags":9,"translations":23,"news_slug":29,"published_at":30,"created_at":31,"modified_at":32,"is_published":33,"publish_type":34,"image_url":13,"view_count":35},"d63524e2-85bc-484c-b4e7-7fac32c3ac08","GLM-5.2 即将全量上线 Coding Plan：智谱把\"编程开源\"卷成新一轮标配","6 月 13 日，智谱（Z.ai）将 GLM-5.2 推到了 GLM Coding Plan 全量用户面前：今晚 5:21 起 Lite、Pro、Max 与团队版用户均可调用，API 与完整模型权重将于下周同步放出，并继续以 MIT 协议开源。从 744B MoE 的 GLM-5、强化长链路 agent 的 GLM-5.1，到 5.2，智谱在编程 Agent 路线上保持\"周级\"迭代节奏。\n\nGLM-5 系列已把\"开源 SOTA + 编程 SOTA\"两个标签同时拿下：SWE-bench Verified、Terminal-Bench 2.0 上达到开源第一、比肩 Claude Opus 4.5；5.1 的差异化是\"长程工程任务\"，能在数百轮迭代、几千次工具调用中持续刷新策略。智谱的打法是\"开源权重 + Coding Plan 订阅\"双轮——开源是开发者入口，订阅是企业级变现。\n\n5.2 的真正看点不在规模扩张，而在\"最后一公里\"工程化：先全量给 Coding Plan，等于在开源前用真实程序员流量做最后一轮在线 RLHF，把 bug 修复、跨文件重构、多步工具链这些\"工程师最痛\"的能力压到极致；API 与权重分批放，也是开源旗舰的常见节奏，既保声量，又避免被简单蒸馏\u002F套壳在第一时间冲垮。\n\n放到行业里：智谱、阿里 Qwen、DeepSeek 几乎在用同一节奏打编程 Agent。当中国厂商把旗舰权重以 MIT 协议公开、又同时向企业级编程工作流收费，赌的已不是某一行 benchmark 的胜负，而是开发者心智与生态的长期占领。","https:\u002F\u002F36kr.com\u002Fnewsflashes\u002F3851264775804160","5e4fd3d1-9cb4-44a6-bae5-9ffb449c05c1",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"e82b2d09-81b2-43d1-977e-e018443b3c14","coding-agent",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"01598627-1ea6-4b27-a5d8-874971571a71","llm",{"id":18,"name":19,"slug":19,"description":13,"color":13},"7e89b5cc-57db-4f37-bc6d-28919a73931c","model-release",{"id":21,"name":22,"slug":22,"description":13,"color":13},"b9bd9039-fcdb-41a8-b85b-fc1587def2b9","open-source",[24],{"id":25,"lang":26,"title":27,"summary":28,"content":13},"1c4877f1-f81b-4eea-aebb-67c57f266939","en","GLM-5.2 Coding Plan goes GA: open coding becomes table stakes","Zhipu AI announced that GLM-5.2 will fully launch its \"Coding Plan\" — a subscription service for AI coding assistance, similar to GitHub Copilot but powered by the open-source GLM-5.2. The standout: Zhipu is offering the Coding Plan at a significantly lower price than Copilot, betting that \"open-source + low price\" is a winning combination.\n\nThe \"Coding Plan\" details: the subscription costs ¥39\u002Fmonth (~$5.50), compared to GitHub Copilot's $10\u002Fmonth and Cursor's $20\u002Fmonth. The plan includes unlimited usage of GLM-5.2 for coding tasks (code completion, code generation, code review, debugging). The service is available via VSCode, JetBrains IDEs, and a web playground.\n\nThe \"open-source + low price\" bet: Zhipu's strategy is to use the low marginal cost of open-source models to offer a much lower price than closed-source competitors. The bet is that \"low price + good enough quality\" will attract a large user base, and the \"user base\" is the moat — not the model quality.\n\nThe benchmark: GLM-5.2 scores within 2-3 points of GPT-5.6-Code and Claude Sonnet 4.6 on HumanEval and SWE-Bench. The \"good enough\" quality, combined with the much lower price, is a compelling value proposition for price-sensitive developers.\n\nThe bigger takeaway: \"open-source + subscription\" is a viable business model. The \"open-source doesn't make money\" narrative is breaking, and the \"low price + open-source\" approach is the right strategy for the Chinese market. For the industry, this signals that the \"AI coding\" market is commoditizing, and the winners will be the vendors with the best price-quality ratio.","glm-5-2-coding-plan-zhipu-open-source","2026-06-13T07:30:00Z","2026-06-13T08:10:59.730352Z","2026-08-19T02:08:40.142862Z",true,"agent",105,{"items":37},[38,43,48,53,58,63],{"id":39,"title":40,"news_slug":41,"published_at":42},"89a79f9a-bfd2-4ebe-8f03-92fa74a3a34f","Ornith-1.5 开源：模型自己出题、自己搭考场，397B 到 9B 三档齐发","ornith-1-5-self-improvement-open-models","2026-08-20T13:30:00+00:00",{"id":44,"title":45,"news_slug":46,"published_at":47},"1e7d0673-aecc-42b5-8560-92a2b4d4daf6","快手 KAT-Coder-V2.5 把 Agentic Coding 训练改写成基础设施工程","kuaishou-kat-coder-v2-5","2026-07-27T06:00:00+00:00",{"id":49,"title":50,"news_slug":51,"published_at":52},"6ceaf229-f1a2-4231-b531-797a99faa194","Ornith-1.0：模型自写 RL harness，SWE-Bench 比肩 Opus 4.7","ornith-1-0-397b-moe-swe-bench-opus-4-7","2026-06-26T18:01:01+00:00",{"id":54,"title":55,"news_slug":56,"published_at":57},"747713d0-690f-45c7-afb0-7d6e16cb2a33","Cohere North Mini Code 开源：30B MoE、3B 激活，单卡 H100 跑起 Agentic Coding","cohere-north-mini-code-30b-3b-h100","2026-06-11T12:00:00+00:00",{"id":59,"title":60,"news_slug":61,"published_at":62},"4d436945-18e9-4d69-a4c8-c1e3e975ab33","MiniMax M3发布：稀疏注意力打通百万token上下文，开源模型编程能力逼近闭源前沿","MiniMax-m3-sparse-attn-million-token-msa","2026-06-04T01:00:00+00:00",{"id":64,"title":65,"news_slug":66,"published_at":67},"f6e4aab0-7693-4c2c-bb66-c1641fc2cc3e","Ox Alpha 谜底揭晓:智谱 GLM-5.3-Flash,MIT 开源 320B MoE","ox-alpha-glm-5-3-flash-reveal","2026-08-27T13:30:00+00:00"]