[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-microsoft-seven-ai-models-openai-anthropic-build-2026-zh":3,"article-related-microsoft-seven-ai-models-openai-anthropic-build-2026-zh":31,"series-model-release-b5889da8-fa42-44ed-89a7-3347655b388d":84},{"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},"b5889da8-fa42-44ed-89a7-3347655b388d","microsoft-seven-ai-models-openai-anthropic-build-2026-zh","7 款 Microsoft AI 模型登場","\u003Cp data-speakable=\"summary\">\u003Ca href=\"\u002Ftag\u002Fmicrosoft\">Microsoft\u003C\u002Fa> 在 Build 2026 發表 7 款\u003Ca href=\"\u002Fnews\u002Fmicrosoft-seven-homegrown-ai-models-openai-dependence-zh\">自研\u003C\u002Fa> AI \u003Ca href=\"\u002Fnews\u002Fwhy-model-version-lifecycles-are-contracts-zh\">模型\u003C\u002Fa>，目標是把推理、寫碼和長上下文能力拉回自家平台。\u003C\u002Fp>\u003Cp>Microsoft 於 6 月 3 日在舊金山的 Build 2026 公布這批模型，動作很直接：減少對 \u003Ca href=\"https:\u002F\u002Fopenai.com\" target=\"_blank\" rel=\"noopener\">OpenAI\u003C\u002Fa> 與 \u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\" target=\"_blank\" rel=\"noopener\">Anthropic\u003C\u002Fa> 的依賴，並把更多 AI 能力握在自己手上。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>項目\u003C\u002Fth>\u003Cth>數值\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>模型數量\u003C\u002Ftd>\u003Ctd>7\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Build 2026 日期\u003C\u002Ftd>\u003Ctd>2026\u002F6\u002F3\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>MAI-Thinking-1 活躍參數\u003C\u002Ftd>\u003Ctd>35 億\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>上下文視窗\u003C\u002Ftd>\u003Ctd>256,000 tokens\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Majorana 2 可靠性宣稱\u003C\u002Ftd>\u003Ctd>1,000 倍\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>發生了什麼\u003C\u002Fh2>\u003Cp>這次最受矚目的模型是 \u003Ca href=\"https:\u002F\u002Fblogs.microsoft.com\u002F\" target=\"_blank\" rel=\"noopener\">Microsoft\u003C\u002Fa> 的 MAI-Thinking-1。它是公司第一個推理模型，從頭訓練，使用的是商業授權資料，不是從別家模型蒸餾而來。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780642975404-f8mr.png\" alt=\"7 款 Microsoft AI 模型登場\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>Microsoft 表示，MAI-Thinking-1 主要瞄準多步驟指令、長上下文推理與程式生成。它有 35 億活躍參數，支援 256,000 tokens 的上下文，這讓它更適合長文件、複雜程式碼與多輪任務。\u003C\u002Fp>\u003Cp>另一個重點是 MAI-\u003Ca href=\"\u002Fnews\u002Fclaude-code-dynamic-workflows-new-primitive-en-zh\">Code\u003C\u002Fa>-1-Flash，這款模型主打把文字提示直接轉成程式碼，會先進入 \u003Ca href=\"\u002Ftag\u002Fgithub-copilot\">GitHub Copilot\u003C\u002Fa> 和 Visual Studio Code。對開發者來說，這代表 Microsoft 想把模型能力更深地塞進日常工具，而不是只停在雲端 API 層。\u003C\u002Fp>\u003Cul>\u003Cli>Microsoft 稱，MAI-Thinking-1 在 McKinsey 調校測試中，品質表現優於 GPT-5.5。\u003C\u002Fli>\u003Cli>公司也說，這個結果的成本效率最高可達 10 倍，依據的是公開定價資料。\u003C\u002Fli>\u003Cli>在 Surge 的盲測裡，MAI-Thinking-1 比 Claude Sonnet 4.6 更受偏好。\u003C\u002Fli>\u003Cli>Microsoft 還表示，它在寫碼基準上可對上 Claude Opus 4.6。\u003C\u002Fli>\u003C\u002Ful>\u003Cp>Satya Nadella 把方向講得很清楚：企業不該只是「消費 frontier model」，而是要參與其中。Microsoft AI 負責人 Mustafa Suleyman 也把這次發表視為公司朝模型自主更進一步的訊號，尤其是在長年重金投入外部 AI 夥伴之後。\u003C\u002Fp>\u003Ch2>為什麼重要\u003C\u002Fh2>\u003Cp>對 Microsoft 來說，這批模型最大的價值不只是技術展示，而是成本與控制權。更多工作負載若能跑在 Azure 自家模型上，就能少付第三方模型供應商的推理費用，也更容易調整 \u003Ca href=\"\u002Ftag\u002Fcopilot\">Copilot\u003C\u002Fa> 等產品的定價。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780642972035-qoqj.png\" alt=\"7 款 Microsoft AI 模型登場\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>對開發者，影響會先出現在工具層。\u003Ca href=\"\u002Ftag\u002Fgithub\">GitHub\u003C\u002Fa> Copilot、Visual Studio Code 與其他 Microsoft 產品如果逐步改用自家模型，回應速度、功能整合與成本結構都可能改寫，尤其是長上下文與程式生成場景。\u003C\u002Fp>\u003Cp>對產業面來看，這也是一個很直白的訊號：Microsoft 一邊仍是 \u003Ca href=\"\u002Ftag\u002Fopenai\">OpenAI\u003C\u002Fa> 最大金主之一，一邊又在建立自己的模型組合。當合作關係與內部競爭同時存在，接下來比的就不只是模型分數，而是誰能更快把模型變成可賣的產品。\u003C\u002Fp>\u003Cp>問題也因此變得很現實：Microsoft 要的是降低依賴，還是最終把自己推成另一個模型平台？如果自研模型真的開始吃下 Copilot 和 Azure 的核心流量，外部夥伴的議價空間就會被壓縮。\u003C\u002Fp>\u003Cp>這次發表不是單純多了 7 個名字，而是 Microsoft 在宣告一件事：AI 堆疊的上層，未來不一定要交給別人。誰控制模型，誰就更接近控制產品節奏、成本和入口。\u003C\u002Fp>","Microsoft 在 Build 2026 一口氣發表 7 款自研 AI 模型，主打推理、寫碼與長上下文，並把更多工作負載拉回 Azure。","www.euronews.com","https:\u002F\u002Fwww.euronews.com\u002Fnext\u002F2026\u002F06\u002F03\u002Fmicrosoft-launches-its-own-ai-models-to-take-on-openai-and-anthropic",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780642975404-f8mr.png","model-release","zh","fecde3d7-a7ff-475b-b9d3-330fac386b58",[17,18,19,20,21,22],"Microsoft","Build 2026","AI 模型","OpenAI","Anthropic","GitHub Copilot",[24,25,26],"Microsoft 一口氣發表 7 款自研 AI 模型，核心目標是降低對 OpenAI 和 Anthropic 的依賴。","MAI-Thinking-1 主打推理與長上下文，並已拿到 256,000 tokens 視窗與 35 億活躍參數。","這批模型最直接的影響會落在 Azure、Copilot 和 Visual Studio Code 的成本與整合上。",0,"2026-06-05T07:02:23.607092+00:00","2026-06-05T07:02:23.583+00:00","0ccb5d2e-69f1-4354-a3e0-cb370221cd95",{"tags":32,"relatedLang":43,"relatedPosts":47},[33,35,37,39,41],{"name":18,"slug":34},"build-2026",{"name":17,"slug":36},"microsoft",{"name":20,"slug":38},"openai",{"name":21,"slug":40},"anthropic",{"name":19,"slug":42},"ai-模型",{"id":15,"slug":44,"title":45,"language":46},"microsoft-seven-ai-models-openai-anthropic-build-2026-en","7 Microsoft AI models aim at OpenAI and Anthropic","en",[48,54,60,66,72,78],{"id":49,"slug":50,"title":51,"cover_image":52,"image_url":52,"created_at":53,"category":13},"003f59ba-8d5a-40cb-8e6b-0b51898bc537","midjourney-21-second-video-model-closed-ai-wrong-deal-zh","為什麼 Midjourney 的 21 秒影片模型證明封閉式 AI 是錯的交易","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780648396657-oa18.png","2026-06-05T08:32:37.400103+00:00",{"id":55,"slug":56,"title":57,"cover_image":58,"image_url":58,"created_at":59,"category":13},"70220ef9-6fc2-4c25-806b-6486422f0178","microsoft-seven-homegrown-ai-models-openai-dependence-zh","7 款 Microsoft 自研 AI 模型登場","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780642070020-8fkt.png","2026-06-05T06:47:22.990551+00:00",{"id":61,"slug":62,"title":63,"cover_image":64,"image_url":64,"created_at":65,"category":13},"b5926931-ce20-4b9d-8814-a3c960187209","what-we-know-about-gpt-56-release-date-zh","GPT-5.6 何時發布？目前線索整理","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780574585815-dzo7.png","2026-06-04T12:02:35.122398+00:00",{"id":67,"slug":68,"title":69,"cover_image":70,"image_url":70,"created_at":71,"category":13},"1985ce38-03c6-4968-96fa-b751553bbef3","why-claude-opus-48-is-not-the-big-story-zh","為什麼 Claude Opus 4.8 不是大新聞","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780531367297-nrfs.png","2026-06-04T00:02:24.633987+00:00",{"id":73,"slug":74,"title":75,"cover_image":76,"image_url":76,"created_at":77,"category":13},"8810b91a-9aa2-4cd6-a58b-18fad5897423","devin-booker-sedona-mcdonalds-shoe-launch-zh","Booker把Sedona麥當勞變鞋款發表場","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780510686292-fm1k.png","2026-06-03T18:17:31.966783+00:00",{"id":79,"slug":80,"title":81,"cover_image":82,"image_url":82,"created_at":83,"category":13},"d4d7e664-cc7f-4211-a733-b7c111b86bd6","best-open-source-llms-2026-ranked-zh","2026 最佳開源 LLM 排名","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780396385004-yyka.png","2026-06-02T10:32:37.264398+00:00",[85,90,95,100,105,110,115,120,125,130],{"id":86,"slug":87,"title":88,"created_at":89},"58b64033-7eb6-49b9-9aab-01cf8ae1b2f2","nvidia-rubin-six-chips-one-ai-supercomputer-zh","NVIDIA Rubin 把六顆晶片塞進 AI 機櫃","2026-03-26T07:18:45.861277+00:00",{"id":91,"slug":92,"title":93,"created_at":94},"0dcc2c61-c2a6-480d-adb8-dd225fc68914","march-2026-ai-model-news-what-mattered-zh","2026 年 3 月 AI 模型新聞重點","2026-03-26T07:32:08.386348+00:00",{"id":96,"slug":97,"title":98,"created_at":99},"214ab08b-5ce5-4b5c-8b72-47619d8675dd","why-small-models-are-winning-on-device-ai-zh","小模型為何吃下裝置端 AI","2026-03-26T07:36:30.488966+00:00",{"id":101,"slug":102,"title":103,"created_at":104},"785624b2-0355-4b82-adc3-de5e45eecd88","midjourney-v8-faster-images-higher-costs-zh","Midjourney V8 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怎麼選","2026-04-02T01:18:43.576128+00:00",{"id":131,"slug":132,"title":133,"created_at":134},"3b988fd7-6749-4f01-ba25-c0ad7486dc31","z-ai-glm-5v-turbo-design2code-claude-zh","GLM-5V-Turbo 在 Design2Code 贏了…","2026-04-02T04:03:36.31741+00:00"]