[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-minimax-m3-kai-fang-quan-zhong-xie-cheng-shi-reng-neng-ying-zh":3,"article-related-minimax-m3-kai-fang-quan-zhong-xie-cheng-shi-reng-neng-ying-zh":30,"series-model-release-66ce4542-3c93-4a0c-ab52-5e6f90a36212":79},{"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":22,"views":26,"created_at":27,"published_at":28,"topic_cluster_id":29},"66ce4542-3c93-4a0c-ab52-5e6f90a36212","minimax-m3-kai-fang-quan-zhong-xie-cheng-shi-reng-neng-ying-zh","MiniMax M3 證明開放權重在寫程式上仍能贏","\u003Cp data-speakable=\"summary\">MiniMax M3 證明開放權重模型仍能在寫\u003Ca href=\"\u002Fnews\u002F5-open-code-review-ai-code-review-misses-zh\">程式\u003C\u002Fa>、長上下文與成本控制上領先。\u003C\u002Fp>\u003Cp>我認為 MiniMax M3 是開放權重模型最有力的一次反擊：它不只是在某個榜單上刷分，而是把 1M 上下文、原生多模態、可用的產品入口與極低價格放在同一套方案裡。\u003C\u002Fp>\u003Ch2>第一個論點\u003C\u002Fh2>\u003Cp>對工程團隊來說，1M tokens 本身不是賣點，能不能真的用才是。MiniMax 宣稱 M3 在 1M 上下文下，Sparse Attention 把每 token 計算量降到前代的二十分之一，prefill 快超過 9 倍，decode 快超過 15 倍。這種差距不是展示用，而是決定你能不能把整個程式庫、issue 歷史和工具紀錄一起塞進\u003Ca href=\"\u002Fnews\u002Fmidjourney-pro-workflow-beats-hobbyist-image-tools-zh\">工作流\u003C\u002Fa>。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780968786191-lele.png\" alt=\"MiniMax M3 證明開放權重在寫程式上仍能贏\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>另一個具體例子是產品可用性。M3 上線後就能透過 MiniMax Code、API 與 token 方案使用，不是只停留在論文或等待名單。這代表它不是單點能力，而是已經能進入真實開發流程，尤其適合需要反覆追問、長對話和多輪工具呼叫的 coding 任務。\u003C\u002Fp>\u003Ch2>第二個論點\u003C\u002Fh2>\u003Cp>如果一個模型只會講「我很強」，那沒有意義。M3 給出的 \u003Ca href=\"\u002Ftag\u002Fbenchmark\">benchmark\u003C\u002Fa> 組合至少足夠嚴肅：\u003Ca href=\"\u002Ftag\u002Fswe-bench\">SWE-Bench\u003C\u002Fa> Pro 59.0%、Terminal-Bench 2.1 66.0%、MCP Atlas 74.2%、BrowseComp 83.5。這些不是單一面向的漂亮數字，而是指向寫程式、終端機操作、工具調用與瀏覽推理的整體能力。\u003C\u002Fp>\u003Cp>更重要的是，MiniMax 把它放進了與 \u003Ca href=\"\u002Ftag\u002Fclaude\">Claude\u003C\u002Fa>、GPT、Gemini 同一個競爭敘事裡。它還宣稱在 OmniDocBench、SVG-Bench 與 agent 任務上有領先表現。對正在做 agentic software 的團隊來說，這很關鍵，因為真正有價值的不是「會寫 code」而已，而是能讀文件、查資料、操作工具、再回到 code 裡完成閉環。\u003C\u002Fp>\u003Ch2>第三個論點\u003C\u002Fh2>\u003Cp>價格是 M3 最具殺傷力的地方。MiniMax 公布的 API 起價約為每百萬輸入 tokens 0.30 美元，若加上 cache optimization，混合成本可降到約 0.06 美元。對比它自己拿來對照的 Claude \u003Ca href=\"\u002Ftag\u002Fopus-47\">Opus 4.7\u003C\u002Fa> 約每百萬輸入 5 美元、輸出 25 美元，這不是小幅折扣，而是成本結構的改寫。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780968778437-yxp3.png\" alt=\"MiniMax M3 證明開放權重在寫程式上仍能贏\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>這件事之所以重要，是因為 AI 採購早就不是純粹的模型迷信，而是每次任務成本的算術題。對 PM 與創辦人而言，能不能把長上下文、檢索、工具使用這些需求穩定跑在低成本模型上，直接影響產品毛利與可擴張性。M3 的 Plus 與更高容量方案，讓這種部署方式不再只是大公司專屬。\u003C\u002Fp>\u003Ch2>反方可能怎麼說\u003C\u002Fh2>\u003Cp>最強的反對意見是信任問題。MiniMax 公布的數據多半來自自家測試，且部分結果搭配了 \u003Ca href=\"\u002Ftag\u002Fclaude-code\">Claude Code\u003C\u002Fa>、Mini-SWE-Agent 或 Terminus 這類 agent scaffolding。換句話說，數字不是假的，但也不是中立樣本。真正進到雜亂的 production repository，表現可能會打折。\u003C\u002Fp>\u003Cp>另一個合理疑慮是，開放權重不等於開放科學。若權重、技術報告與細節釋出不夠完整，這類發布就容易變成行銷事件，而不是可重現的研究成果。對採購者來說，先等第三方跑分與實測，是負責任的態度。\u003C\u002Fp>\u003Cp>但這些疑慮不足以推翻 M3。原因很直接：它同時給了架構改進、可立即使用的產品入口、以及極具壓迫感的價格。就算第三方測試最後低一點，M3 仍然保有「長上下文、原生多模態、低成本」這個少見組合。反方最多削弱它的天花板，不能否定它已經把開放權重模型拉回前線的事實。\u003C\u002Fp>\u003Ch2>你能做什麼\u003C\u002Fh2>\u003Cp>如果你是工程師、PM 或創辦人，現在最好的做法不是立刻全面切換，而是把 M3 放進你最吃上下文、最吃工具調用的任務裡做壓測：拿真實 repo 跑一輪，量 latency、成功率與每次完成任務的總成本，再和你現在用的高價\u003Ca href=\"\u002Fnews\u002Fruvi-trainer-pay-model-smarter-ai-economics-zh\">模型比\u003C\u002Fa>較。若結果成立，M3 代表一個很實際的選項：用開放權重換取控制權，同時不必放棄前沿能力。\u003C\u002Fp>","MiniMax M3 證明開放權重模型不只可以追上前沿，還能在寫程式、長上下文與成本控制上形成優勢。","felloai.com","https:\u002F\u002Ffelloai.com\u002Fminimax-m3\u002F",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780968786191-lele.png","model-release","zh","435fc551-a461-444a-bf95-dbf5685cfac0",[17,18,19,20,21],"MiniMax M3","開放權重模型","程式碼生成","長上下文","成本控制",[23,24,25],"M3 把 1M 上下文、低延遲與產品化入口放在同一套方案裡。","它的 benchmark 與工具能力足以進入前沿模型競爭圈。","價格優勢是真正改變採購與部署決策的核心。",2,"2026-06-09T01:32:30.829528+00:00","2026-06-09T01:32:30.826+00:00","0ccb5d2e-69f1-4354-a3e0-cb370221cd95",{"tags":31,"relatedLang":38,"relatedPosts":42},[32,34,35,36,37],{"name":17,"slug":33},"minimax-m3",{"name":21,"slug":21},{"name":20,"slug":20},{"name":18,"slug":18},{"name":19,"slug":19},{"id":15,"slug":39,"title":40,"language":41},"minimax-m3-open-weight-coding-win-en","MiniMax M3 Proves Open-Weight Can Still Win on Coding","en",[43,49,55,61,67,73],{"id":44,"slug":45,"title":46,"cover_image":47,"image_url":47,"created_at":48,"category":13},"466021f3-b8a4-4ecb-ad64-8070beaf9cbc","gemini-1-5-pro-002-flash-002-2-0-flash-update-zh","Gemini 1.5 與 2.0 Flash 更新上線","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780999389960-97qh.png","2026-06-09T10:02:27.849751+00:00",{"id":50,"slug":51,"title":52,"cover_image":53,"image_url":53,"created_at":54,"category":13},"948a7dc4-b172-42f9-9bef-abcbbffaca18","gemini-35-flash-pricing-benchmarks-zh","Gemini 3.5 Flash 價格與長上下文解析","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780840978961-6b9n.png","2026-06-07T14:02:29.835438+00:00",{"id":56,"slug":57,"title":58,"cover_image":59,"image_url":59,"created_at":60,"category":13},"5507f140-5223-4f68-ade6-30d9e5457638","gemma-4-12b-specs-benchmarks-run-locally-zh","怎麼做 Gemma 4 12B 本地部署","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780777971165-4bit.png","2026-06-06T20:32:24.857611+00:00",{"id":62,"slug":63,"title":64,"cover_image":65,"image_url":65,"created_at":66,"category":13},"ef42a437-8b06-4ff5-a135-ece7662c01f4","best-kimi-models-2026-k2-5-vs-k2-thinking-zh","2026 最佳 Kimi 模型：K2.5 對 K2 Thinking","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780770790333-x3lk.png","2026-06-06T18:32:39.410186+00:00",{"id":68,"slug":69,"title":70,"cover_image":71,"image_url":71,"created_at":72,"category":13},"fd2ad557-5c09-4758-964d-cda1c3c87a4c","kimi-k2-6-open-source-coding-agent-swarm-zh","Kimi K2.6 開源加上 Agent Swarm","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780761795960-0zg9.png","2026-06-06T16:02:21.702099+00:00",{"id":74,"slug":75,"title":76,"cover_image":77,"image_url":77,"created_at":78,"category":13},"8102ddec-e015-4294-9940-bf65553ae70d","minimax-m3-triple-capability-open-model-zh","MiniMax M3：開源三合一模型","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780756383081-hr0b.png","2026-06-06T14:32:35.396612+00:00",[80,85,90,95,100,105,110,115,120,125],{"id":81,"slug":82,"title":83,"created_at":84},"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":86,"slug":87,"title":88,"created_at":89},"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":91,"slug":92,"title":93,"created_at":94},"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":96,"slug":97,"title":98,"created_at":99},"785624b2-0355-4b82-adc3-de5e45eecd88","midjourney-v8-faster-images-higher-costs-zh","Midjourney V8 變快了，也變貴了","2026-03-26T07:52:03.562971+00:00",{"id":101,"slug":102,"title":103,"created_at":104},"cda76b92-d209-4134-86c1-a60f5bc7b128","xiaomi-mimo-trio-agents-robots-voice-zh","小米 MiMo 三模型瞄準代理、機器人與語音","2026-03-28T03:05:08.779489+00:00",{"id":106,"slug":107,"title":108,"created_at":109},"9e1044b4-946d-47fe-9e2a-c2ee032e1164","xiaomi-mimo-v2-pro-1t-moe-agents-zh","小米 MiMo-V2-Pro 登場：1T MoE 模型","2026-03-28T03:06:19.002353+00:00",{"id":111,"slug":112,"title":113,"created_at":114},"c4b6186f-bd84-4598-997e-c6e31d543c0d","cursor-composer-2-agentic-coding-model-zh","Cursor Composer 2 走向代理式寫碼","2026-03-28T03:13:06.422716+00:00",{"id":116,"slug":117,"title":118,"created_at":119},"e112e76f-ec3b-408f-810e-e93ae21a888a","apple-siri-gemini-distilled-models-zh","Apple Siri 牽手 Gemini 的真相","2026-03-29T04:52:57.886544+00:00",{"id":121,"slug":122,"title":123,"created_at":124},"c679b51f-194a-463b-87fc-7695256ff752","mimo-v2-pro-vs-omni-vs-flash-2026-zh","MiMo V2 Pro、Omni、Flash 怎麼選","2026-04-02T01:18:43.576128+00:00",{"id":126,"slug":127,"title":128,"created_at":129},"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"]