[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-glm-5-2-tops-open-rankings-huawei-chips-zh":3,"article-related-glm-5-2-tops-open-rankings-huawei-chips-zh":31,"series-industry-8559088c-4d91-4b2e-9b61-840e92378880":80},{"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},"8559088c-4d91-4b2e-9b61-840e92378880","glm-5-2-tops-open-rankings-huawei-chips-zh","GLM-5.2 登頂華為晶片開源榜","\u003Cp data-speakable=\"summary\">Z.ai 的 GLM-5.2 在華為 Ascend 910B 上訓練後，成為開源 AI 榜單第一名。\u003C\u002Fp>\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.techtimes.com\u002Farticles\u002F318810\u002F20260621\u002Fchina-ai-parity-glm-52-tops-open-rankings-on-huawei-chips-as-fable-5-stays-banned.htm\" target=\"_blank\" rel=\"noopener\">Techtimes\u003C\u002Fa> 指出，Z.ai 在 6 月 17 日發布 GLM-5.2，幾天後就衝上多個公開榜單。與此同時，\u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\" target=\"_blank\" rel=\"noopener\">Anthropic\u003C\u002Fa> 的 Fable 5 和 Mythos 5 仍因美國出口命令維持離線。\u003C\u002Fp>\u003Cp>這次最受關注的不是\u003Ca href=\"\u002Fnews\u002Fllm-benchmarks-2026-pick-right-test-zh\">單一分數\u003C\u002Fa>，而是訓練條件。GLM-5.2 全程使用 \u003Ca href=\"https:\u002F\u002Fwww.huawei.com\" target=\"_blank\" rel=\"noopener\">華為\u003C\u002Fa> Ascend 910B 晶片，沒有 \u003Ca href=\"\u002Ftag\u002Fnvidia\">Nvidia\u003C\u002Fa> 硬體進入訓練堆疊。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>項目\u003C\u002Fth>\u003Cth>數值\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>GLM-5.2 發布日\u003C\u002Ftd>\u003Ctd>2026 年 6 月 17 日\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Fable 5 禁用日\u003C\u002Ftd>\u003Ctd>2026 年 6 月 12 日\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>訓練晶片\u003C\u002Ftd>\u003Ctd>100,000 顆 Huawei Ascend 910B\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>總參數\u003C\u002Ftd>\u003Ctd>7440 億\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>推理啟用參數\u003C\u002Ftd>\u003Ctd>約 400 億\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>上下文長度\u003C\u002Ftd>\u003Ctd>100 萬 tokens\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>訓練成本估算\u003C\u002Ftd>\u003Ctd>2500 萬美元\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>發生了什麼\u003C\u002Fh2>\u003Cp>Z.ai 表示，GLM-5.2 是它第一個完全用中國本土晶片訓練的模型家族。這版權重也採 MIT \u003Ca href=\"\u002Fnews\u002Fgetty-images-licensed-visuals-chatgpt-display-zh\">授權\u003C\u002Fa>，並已上傳到 \u003Ca href=\"https:\u002F\u002Fhuggingface.co\" target=\"_blank\" rel=\"noopener\">Hugging Face\u003C\u002Fa>，方便開發者直接下載、自架與測試。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782635571133-m4h5.png\" alt=\"GLM-5.2 登頂華為晶片開源榜\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>在公開測試中，GLM-5.2 的表現集中在程式與設計任務。它在 Code Arena 拿到 1595 Elo、在 \u003Ca href=\"\u002Ftag\u002Fswe-bench\">SWE-bench\u003C\u002Fa> Pro 得到 62.1，並在 Design Arena 排名第一。這讓它成為少數同時兼顧聊天、編碼與代理任務的開源選項。\u003C\u002Fp>\u003Cp>但它不是全方位領先。報導也提到，在更難的 SWE-Marathon 測試裡，GLM-5.2 只有 13.0，而 \u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\" target=\"_blank\" rel=\"noopener\">Anthropic\u003C\u002Fa> 的 \u003Ca href=\"\u002Ftag\u002Fclaude\">Claude\u003C\u002Fa> Opus 4.8 為 26.0。換句話說，GLM-5.2 更像是把「可用、可\u003Ca href=\"\u002Fnews\u002Fmicrosoft-365-copilot-app-deployment-guide-zh\">部署\u003C\u002Fa>、可公開驗證」推到前排，而不是在每個硬測試都碾壓對手。\u003C\u002Fp>\u003Cul>\u003Cli>7440 億總參數，推理時約啟用 400 億。\u003C\u002Fli>\u003Cli>採用 Mixture-of-Experts 與 DeepSeek Sparse Attention。\u003C\u002Fli>\u003Cli>上下文長度達 100 萬 tokens，適合長文件與大型程式庫。\u003C\u002Fli>\u003Cli>推理速度約每秒 17 到 19 tokens，仍慢於部分 Nvidia 陣營模型。\u003C\u002Fli>\u003C\u002Ful>\u003Cp>架構上，Z.ai 把重點放在長上下文與 \u003Ca href=\"\u002Ftag\u002Fagent\">agent\u003C\u002Fa> 工作流。每個 token 只路由到 256 個專家子網路中的 8 個，目標是把算力花在需要的地方，而不是整個模型一起重算。\u003C\u002Fp>\u003Ch2>為什麼重要\u003C\u002Fh2>\u003Cp>這件事的時間點很敏感。6 月 12 日，美國商務部要求 \u003Ca href=\"\u002Ftag\u002Fanthropic\">Anthropic\u003C\u002Fa> 停用 Fable 5 與 Mythos 5 對全球外國人提供服務，理由是存在 jailbreak 風險。五天後，Z.ai 就交出一個可公開下載、也能本地部署的替代方案。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782635573644-syx5.png\" alt=\"GLM-5.2 登頂華為晶片開源榜\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>對開發者來說，差別不只在榜單名次，而在控制權。閉源 API 可以被限制、下架或改條款；開源權重一旦釋出，團隊就能在自己的機器上跑，資料也不用外送到第三方服務。\u003C\u002Fp>\u003Cp>對產業來說，這也把討論從「能不能拿到高階晶片」推向「拿到晶片後能做出什麼」。如果中國模型能在華為硬體上完成接近商用水準的編碼與設計任務，出口管制對訓練的阻力仍在，但對結果的封鎖力道會變弱。\u003C\u002Fp>\u003Cp>當然，最難的推理測試上，美國實驗室仍有優勢。只是對很多團隊而言，今天真正要選的不是最強分數，而是能不能離線、能不能自管、能不能把模型留在自己手上。\u003C\u002Fp>\u003Cp>問題已經變了：當開源權重能在中國晶片上跑到榜首，出口管制還能決定多少開發者的預設選擇？\u003C\u002Fp>","Z.ai 的 GLM-5.2 在華為 Ascend 910B 上訓練後，登上開源模型榜首；Anthropic 的 Fable 5 則因美國出口限制下線。","www.techtimes.com","https:\u002F\u002Fwww.techtimes.com\u002Farticles\u002F318810\u002F20260621\u002Fchina-ai-parity-glm-52-tops-open-rankings-huawei-chips-fable-5-stays-banned.htm",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782635571133-m4h5.png","industry","zh","3626d9c1-ebb7-431f-9b9d-80f3bdaaa976",[17,18,19,20,21,22],"GLM-5.2","華為 Ascend 910B","開源模型","Z.ai","Anthropic","AI 榜單",[24,25,26],"GLM-5.2 以華為 Ascend 910B 完成訓練，並登上開源 AI 榜單前列。","它在程式與設計測試表現強，但在最難推理任務上仍落後部分西方模型。","開源權重加上本地部署能力，讓開發者對閉源 API 的依賴再降一級。",0,"2026-06-28T08:32:28.594546+00:00","2026-06-28T08:32:28.583+00:00","934dbacd-9bb0-45c6-8e73-084b26489646",{"tags":32,"relatedLang":39,"relatedPosts":43},[33,34,37],{"name":19,"slug":19},{"name":35,"slug":36},"Z.AI","zai",{"name":21,"slug":38},"anthropic",{"id":15,"slug":40,"title":41,"language":42},"glm-5-2-tops-open-rankings-huawei-chips-en","GLM-5.2 tops open AI rankings on Huawei chips","en",[44,50,56,62,68,74],{"id":45,"slug":46,"title":47,"cover_image":48,"image_url":48,"created_at":49,"category":13},"f3ee7f58-9ef7-4846-95c3-839462c0347d","openclaw-openai-realtime-paid-api-not-subscription-perk-zh","OpenClaw 應把 OpenAI Realtime 當付費 API，而不是…","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782674270289-mop4.png","2026-06-28T19:17:24.429354+00:00",{"id":51,"slug":52,"title":53,"cover_image":54,"image_url":54,"created_at":55,"category":13},"b90d3831-5109-404e-89a5-50c4890910ed","krea-2-two-second-image-generation-teams-zh","Krea 2 的 2 秒生成，適合團隊部署嗎","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782673366702-fv0o.png","2026-06-28T19:02:22.494136+00:00",{"id":57,"slug":58,"title":59,"cover_image":60,"image_url":60,"created_at":61,"category":13},"576f1de0-bbf9-4a91-96bf-a1bf6ff4c67c","us-model-curbs-security-deals-not-bans-zh","美國應以安全協議解除模型管制，而非一刀切禁令","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782658969312-tf30.png","2026-06-28T15:02:19.927898+00:00",{"id":63,"slug":64,"title":65,"cover_image":66,"image_url":66,"created_at":67,"category":13},"c1d71ae5-dabd-4778-8326-7645316004c2","meta-replacing-moderators-with-ai-to-cut-costs-zh","Meta 用 AI 取代審核員，省錢先上","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782653576451-arn6.png","2026-06-28T13:32:29.737246+00:00",{"id":69,"slug":70,"title":71,"cover_image":72,"image_url":72,"created_at":73,"category":13},"08c94bd8-e6b6-4328-82ff-bee0a7cef126","meta-ai-moderation-push-is-the-wrong-tradeoff-zh","Meta 把 AI 用在內容審核上，這筆交換不划算","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782652669314-in2k.png","2026-06-28T13:17:21.733509+00:00",{"id":75,"slug":76,"title":77,"cover_image":78,"image_url":78,"created_at":79,"category":13},"6ad43bed-fc6b-4bc6-a728-38362a29ffec","meta-ai-content-moderation-human-reviews-zh","Meta 內容審核轉向 AI 的 5 個關鍵","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782651773409-llaq.png","2026-06-28T13:02:22.855907+00:00",[81,86,91,96,101,106,111,116,121,126],{"id":82,"slug":83,"title":84,"created_at":85},"ee073da7-28b3-4752-a319-5a501459fb87","ai-in-2026-what-actually-matters-now-zh","2026 AI 真正重要的事","2026-03-26T07:09:12.008134+00:00",{"id":87,"slug":88,"title":89,"created_at":90},"83bd1795-8548-44c9-9a7e-de50a0923f71","trump-ai-framework-power-speech-state-preemption-zh","川普 AI 框架瞄準電力、言論與州權","2026-03-26T07:12:18.695466+00:00",{"id":92,"slug":93,"title":94,"created_at":95},"ea6be18b-c903-4e54-97b7-5f7447a612e0","nvidia-gtc-2026-big-ai-announcements-zh","NVIDIA GTC 2026 重點拆解","2026-03-26T07:14:26.62638+00:00",{"id":97,"slug":98,"title":99,"created_at":100},"4bcec76f-4c36-4daa-909f-54cd702f7c93","claude-users-spreading-out-and-getting-better-zh","Claude 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