[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-minimax-m2-open-source-agentic-coding-zh":3,"article-related-minimax-m2-open-source-agentic-coding-zh":38,"series-model-release-f861f009-eb92-4b55-bf2c-a4671c660f8a":88},{"id":4,"title":5,"content":6,"summary":7,"source":8,"source_url":9,"author":10,"image_url":11,"keywords":12,"language":21,"translated_content":10,"views":22,"is_premium":23,"created_at":24,"updated_at":24,"cover_image":11,"published_at":25,"rewrite_status":26,"rewrite_error":10,"rewritten_from_id":27,"slug":28,"category":29,"related_article_id":30,"status":31,"google_indexed_at":10,"x_posted_at":10,"tweet_text":10,"title_rewritten_at":10,"title_original":10,"key_takeaways":32,"topic_cluster_id":36,"embedding":37,"is_canonical_seed":23},"f861f009-eb92-4b55-bf2c-a4671c660f8a","MiniMax M2 開源，代理編碼變便宜","\u003Cp data-speakable=\"summary\">MiniMax 開源 M2，主打代理編碼與工具使用，價格低、速度快，適合做長流程軟體任務。\u003C\u002Fp>\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.minimax.io\u002Fnews\u002Fminimax-m2\" target=\"_blank\" rel=\"noopener\">MiniMax\u003C\u002Fa> 這次很直接。它把賭注押在一件事上：代理式工作要真的能落地，模型就得快、便宜、夠穩。官方說 \u003Ca href=\"https:\u002F\u002Fhuggingface.co\u002FMiniMaxAI\u002FMiniMax-M2\" target=\"_blank\" rel=\"noopener\">MiniMax M2\u003C\u002Fa> 已經開源，輸入每百萬 \u003Ca href=\"\u002Ftag\u002Ftoken\">Token\u003C\u002Fa> 只要 0.30 美元。限時免費試用到 11 月 7 日 00:00 UTC。\u003C\u002Fp>\u003Cp>這種價格很有感。官方還說，線上推理速度大約 100 tokens per second，輸出每百萬 Token 1.20 美元。它也搭配新的 \u003Ca href=\"https:\u002F\u002Fagent.minimax.io\u002F\" target=\"_blank\" rel=\"noopener\">MiniMax Agent\u003C\u002Fa>，用途包含寫程式、研究、長流程工具操作。\u003C\u002Fp>\u003Cp>講白了，MiniMax 不是在賣聊天機器人。它是在賣一個能跑任務的 LLM。這種東西一旦便宜，開發者就會開始算帳。因為代理不是打一兩句話就收工，而是會一直呼叫 API、一直重試、一直吃 Token。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>指標\u003C\u002Fth>\u003Cth>MiniMax M2\u003C\u002Fth>\u003Cth>官方說法\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>輸入價格\u003C\u002Ftd>\u003Ctd>0.30 美元 \u002F 百萬 Token\u003C\u002Ftd>\u003Ctd>約 Claude Sonnet 的 8%\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>輸出價格\u003C\u002Ftd>\u003Ctd>1.20 美元 \u002F 百萬 Token\u003C\u002Ftd>\u003Ctd>約 Claude Sonnet 的 8%\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>線上推理速度\u003C\u002Ftd>\u003Ctd>約 100 TPS\u003C\u002Ftd>\u003Ctd>約比 Claude Sonnet 快 2 倍\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>免費試用截止\u003C\u002Ftd>\u003Ctd>11 月 7 日 00:00 UTC\u003C\u002Ftd>\u003Ctd>限時開放\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>為什麼 M2 直接對準代理\u003C\u002Fh2>\u003Cp>MiniMax 這份公告，味道很像自己先踩過坑。它說內部已經拿代理做資料分析、技術研究、程式開發、使用者回饋整理，還有履歷篩選。這些工作看起來平常，實際上很吃模型穩定度。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779077043926-exf5.png\" alt=\"MiniMax M2 開源，代理編碼變便宜\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>因為代理和一般聊天不同。聊天只要答得像樣就好。代理要能拆解任務，接工具，跑 Shell，開 Browser，寫 Python，還要在失敗後自己回來。這不是單次問答。這是長時間協作。\u003C\u002Fp>\u003Cp>MiniMax 說 M2 就是為這種場景設計的。它把重點放在程式、工具使用、邏輯推理和知識工作。這個方向其實很務實。因為真正的企業需求，常常不是要最會講幹話的模型，而是要能把工做完的模型。\u003C\u002Fp>\u003Cul>\u003Cli>MiniMax 說 M2 對準端到端開發流程。\u003C\u002Fli>\u003Cli>官方強調 Shell、Browser、Python、MCP 工具。\u003C\u002Fli>\u003Cli>限時免費，方便開發者先測再說。\u003C\u002Fli>\u003Cli>權重已放到 \u003Ca href=\"https:\u002F\u002Fhuggingface.co\u002FMiniMaxAI\u002FMiniMax-M2\" target=\"_blank\" rel=\"noopener\">Hugging Face\u003C\u002Fa>，可本地部署。\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>它跟其他模型怎麼比\u003C\u002Fh2>\u003Cp>MiniMax 的說法算是有節制。它沒有硬吹自己是程式最強。它說 M2 在工具使用和深度搜尋上，接近海外領先模型，但在程式能力上還略落後最頂尖那群。這種講法反而比較可信。\u003C\u002Fp>\u003Cp>因為代理模型的重點，不是單一 benchmark。它要能在多步驟流程裡活下來。你今天讓它寫一段 code，明天讓它查資料，後天讓它改 bug。只要其中一環常掉鏈子，整個工作流就會爛掉。\u003C\u002Fp>\u003Cp>MiniMax 還提到 \u003Ca href=\"https:\u002F\u002Fartificialanalysis.ai\u002F\" target=\"_blank\" rel=\"noopener\">Artificial Analysis\u003C\u002Fa> 的綜合評測。它說 M2 擠進全球前五。這個數字值得看，但也要看清楚。那不是單一 coding 分數，而是 10 個任務的綜合表現。\u003C\u002Fp>\u003Cblockquote>“Today, we are officially open-sourcing and launching MiniMax M2, a model born for Agents and code.” — MiniMax\u003C\u002Fblockquote>\u003Cp>這句話很直白。它等於在說，M2 的定位不是陪聊，也不是純寫文。它就是要服務代理和程式。這種定位很清楚，也很適合現在的市場。\u003C\u002Fp>\u003Cul>\u003Cli>MiniMax 說 M2 在工具使用與深搜表現接近前段班。\u003C\u002Fli>\u003Cli>官方承認程式能力還不是最頂。\u003C\u002Fli>\u003Cli>Artificial Analysis 是 10 任務綜合評測。\u003C\u002Fli>\u003Cli>內部 dogfooding 涵蓋工程、後端、商務流程。\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>MiniMax Agent 也一起升級\u003C\u002Fh2>\u003Cp>MiniMax 不只丟模型。它還升級了 \u003Ca href=\"https:\u002F\u002Fagent.minimax.io\u002F\" target=\"_blank\" rel=\"noopener\">MiniMax Agent\u003C\u002Fa>。中國版和海外版都更新了。產品現在分成兩種模式。Lightning Mode 偏快，適合問答、輕量搜尋、小型 coding。Pro Mode 則偏長任務，像深度研究、全端開發、報告、PPT、網站製作。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779077040861-m97y.png\" alt=\"MiniMax M2 開源，代理編碼變便宜\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>這個切法我覺得合理。很多代理產品最愛把所有任務塞進同一種介面。結果就是，輕任務嫌慢，重任務嫌淺。MiniMax 直接切兩條路，反而比較像真實使用情境。\u003C\u002Fp>\u003Cp>官方還說，新 \u003Ca href=\"\u002Ftag\u002Fagent\">Agent\u003C\u002Fa> 目前免費，直到伺服器撐不住。這句話很有意思。它一方面是在吸流量，另一方面也在測市場反應。想試 coding 工作流的人，應該會先衝一波。\u003C\u002Fp>\u003Cp>如果你想直接碰模型，官方提供 \u003Ca href=\"https:\u002F\u002Fplatform.minimax.io\u002Fdocs\u002Fapi-reference\u002Ftext-anthropic-api\" target=\"_blank\" rel=\"noopener\">MiniMax Open Platform\u003C\u002Fa> API 文件，也有 \u003Ca href=\"https:\u002F\u002Fhuggingface.co\u002FMiniMaxAI\u002FMiniMax-M2\u002Fblob\u002Fmain\u002Fdocs\u002Ftool_calling_guide.md\" target=\"_blank\" rel=\"noopener\">tool calling guide\u003C\u002Fa>。本地部署則可看 \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fvllm-project\u002Fvllm\" target=\"_blank\" rel=\"noopener\">vLLM\u003C\u002Fa> 和 \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fsgl-project\u002Fsglang\" target=\"_blank\" rel=\"noopener\">SGLang\u003C\u002Fa>。\u003C\u002Fp>\u003Ch2>價格和速度到底改變什麼\u003C\u002Fh2>\u003Cp>這次最有意思的，不是 benchmark。是成本。MiniMax 說 M2 的價格只有 \u003Ca href=\"\u002Ftag\u002Fclaude\">Claude\u003C\u002Fa> Sonnet 的 8%，速度還接近快 2 倍。這種組合，會直接改變團隊的算帳方式。\u003C\u002Fp>\u003Cp>因為代理產品最怕的就是「每次看起來不貴，總帳嚇死人」。只要你讓模型反覆呼叫工具、反覆修正、反覆搜尋，Token 就會像水一樣流掉。價格一低，團隊才敢把代理放進真實流程。\u003C\u002Fp>\u003Cp>這對新創和內部工具都很重要。很多公司不是不用 \u003Ca href=\"\u002Fnews\u002Fai-weekly-2026-w21-zh\">AI\u003C\u002Fa>，而是怕成本失控。M2 這種定價，會讓更多團隊敢做長流程任務。像自動修 bug、整理客服資料、抓研究摘要，這些都很吃 Token。\u003C\u002Fp>\u003Cul>\u003Cli>輸入 0.30 美元 \u002F 百萬 Token，壓力小很多。\u003C\u002Fli>\u003Cli>輸出 1.20 美元 \u002F 百萬 Token，也比高價模型友善。\u003C\u002Fli>\u003Cli>約 100 TPS，適合高頻互動流程。\u003C\u002Fli>\u003Cli>開源權重可讓團隊自己控資料與延遲。\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>這波對開發者有什麼意思\u003C\u002Fh2>\u003Cp>開源權重這件事很重要。因為它不是只有 API 可用。你可以自己部署、自己調整、自己接內部\u003Ca href=\"\u002Fnews\u002Fweishenme-fensanshi-xitong-yanjiang-bi-buluoge-wenzhang-geng-zh\">系統\u003C\u002Fa>。對重視資料安全的團隊來說，這比單純租一個雲端 API 更好談。\u003C\u002Fp>\u003Cp>另一個重點是，M2 讓代理編碼的價格帶往下掉。以前大家談 \u003Ca href=\"\u002Ftag\u002Fagentic-coding\">agentic coding\u003C\u002Fa>，常常先想到昂貴訂閱。現在如果\u003Ca href=\"\u002Ftag\u002F開源模型\">開源模型\u003C\u002Fa>夠快，很多團隊會開始考慮自建流程。尤其是要跑大量任務的公司，差異會很明顯。\u003C\u002Fp>\u003Cp>我覺得真正的測試，會在真實工作流。不是 demo，也不是單次寫程式。是你把它接進 CI、issue tracker、browser automation、MCP 工具之後，它會不會一直出包。這才是關鍵。\u003C\u002Fp>\u003Cp>如果它能穩定跑在這些場景，MiniMax 這次就不是單純發一個模型，而是把代理式工作拉進更便宜的區間。這會逼其他家也跟著調整價格和產品設計。\u003C\u002Fp>\u003Ch2>背景脈絡：為什麼大家都在做代理模型\u003C\u002Fh2>\u003Cp>代理模型這幾年會紅，不是偶然。因為單純聊天已經不夠用了。大家要的是能做事的 \u003Ca href=\"\u002Fnews\u002Fcommunity-resistance-will-reshape-ai-data-center-expansion-zh\">AI\u003C\u002Fa>。能找資料、能寫 code、能操作工具、能回報結果。這才有機會進企業流程。\u003C\u002Fp>\u003Cp>但代理很吃基礎設施。模型要夠穩，伺服器要夠快，工具介面要夠清楚，錯誤處理也要夠好。少一個環節，體驗就會很差。所以現在各家都在拚，不只是模型能力，還有整套執行成本。\u003C\u002Fp>\u003Cp>MiniMax 的做法很像在回應這個現實。它沒有只談參數，也沒有只談對話品質。它直接談價格、速度、工具、開源、部署。這些才是開發者每天真的會碰到的東西。\u003C\u002Fp>\u003Ch2>下一步看什麼\u003C\u002Fh2>\u003Cp>接下來最值得看的，不是官方再發一次宣傳稿。是第三方開發者會不會真的把 M2 接進專案。像 \u003Ca href=\"https:\u002F\u002Fhuggingface.co\u002FMiniMaxAI\u002FMiniMax-M2\" target=\"_blank\" rel=\"noopener\">Hugging Face\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fvllm-project\u002Fvllm\" target=\"_blank\" rel=\"noopener\">vLLM\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fsgl-project\u002Fsglang\" target=\"_blank\" rel=\"noopener\">SGLang\u003C\u002Fa> 這些地方，會不會很快出現可用部署方案。\u003C\u002Fp>\u003Cp>如果社群實測後，M2 在 coding、browser automation、multi-step agent 這幾種任務都站得住腳，那它會很快變成一個很實用的選項。反過來說，如果一上真實工作流就開始亂掉，那便宜也救不了。\u003C\u002Fp>\u003Cp>我自己的判斷很簡單。這波最值得關注的，不是它能不能贏過所有 benchmark，而是它能不能讓普通團隊也玩得起代理編碼。你如果在做產品，現在就該拿它跑一輪自己的工作流。\u003C\u002Fp>","MiniMax 開源 M2，主打代理編碼與工具使用，輸入每百萬 Token 只要 0.30 美元，還有限時免費試用。","www.minimax.io","https:\u002F\u002Fwww.minimax.io\u002Fnews\u002Fminimax-m2",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779077043926-exf5.png",[13,14,15,16,17,18,19,20],"MiniMax M2","代理編碼","開源模型","LLM","工具使用","agentic coding","Hugging Face","vLLM","zh",0,false,"2026-05-18T04:03:36.718257+00:00","2026-05-18T04:03:36.64+00:00","done","646595e5-ba13-4a9e-8f5f-1b607e07ec74","minimax-m2-open-source-agentic-coding-zh","model-release","3e183760-52e4-4491-8ea9-be02ccac1042","published",[33,34,35],"MiniMax M2 主打代理式工作與程式任務，並開源權重。","官方價格是輸入每百萬 Token 0.30 美元，輸出 1.20 美元。","MiniMax Agent 也同步更新，分成 Lightning 和 Pro 兩種模式。","0ccb5d2e-69f1-4354-a3e0-cb370221cd95","[0.016295098,0.0065322053,0.010829946,-0.08169675,-0.01000178,-4.234692e-05,0.009025895,0.0012690899,0.030965975,0.009134342,-0.013042311,-0.0075672697,-0.0006650073,-0.052598756,0.13009787,0.025239075,0.0024002318,0.010439094,0.00022709137,-0.011094637,-0.012022352,0.037878837,0.00497759,0.0033900486,-0.0192782,0.0013606077,0.034397002,-0.019298937,0.039171234,0.022941489,0.0045906142,-0.007934714,0.0099346405,-0.00925093,-0.01278075,0.002018377,0.050346173,0.006104085,-0.00049513153,0.02415932,-0.0036110962,-0.029903855,0.013479945,0.0033851815,-0.0012654945,-0.0103670135,-0.008411829,-0.057330295,0.0019381025,-0.0042255824,-0.014532066,0.027924001,-0.0047784424,-0.13226305,-0.01769607,0.031812623,-0.01502607,0.028690346,0.019568263,-0.0074858787,-0.0078017954,0.006788794,-0.04402495,-0.0027883821,-0.0068505574,-0.0070061376,0.0086088125,0.01577981,-0.002492955,0.004566067,-0.011291468,0.028275384,-0.016296186,-0.011351367,0.025887212,-0.00043172122,0.00047741254,0.0035549381,0.003377519,0.0108773215,0.014788058,0.0013354121,0.022334272,0.013528414,0.0029616514,0.007939495,0.002581572,-0.008914533,-0.0031484175,-0.0096809855,0.0069989976,0.0113565875,0.012717754,-0.00091939495,0.0095578125,0.0069921114,-0.01804343,-0.0028053992,-0.011207501,0.0051422277,-0.0068206103,-0.0058078696,0.00050019234,0.016745875,0.013573483,0.0024832562,-0.00910677,0.0005576769,0.0062166015,0.019392593,0.0062164217,0.002551082,-0.024761537,-0.0010622323,0.007438106,-0.13565353,0.007547684,0.009149433,-0.008543523,0.005606783,-0.008926864,0.008910709,0.0060010757,0.032863848,0.013089929,-0.010397674,-0.010166115,0.003337914,-0.020919768,0.015868025,-0.023988584,0.022906555,0.008517466,-0.008352271,-0.025279567,0.015873302,-0.013386691,0.0005068288,-0.054757986,-0.030370269,-0.004989474,0.020787695,-0.0040460415,0.005935989,0.0017426893,-0.020282796,-0.0039569233,0.019954305,0.017569728,-0.015728105,0.021959584,-0.006053158,-0.008122372,-0.0036205053,-0.00064539694,-0.06164847,0.01305017,-0.012039425,0.0042386088,0.014409708,-0.012119108,-0.013855526,-0.017807517,-0.023605814,-0.0284854,0.014797479,-0.011870298,0.005669777,-0.0037210071,-0.00060010987,-0.018875832,-0.013960241,0.009511319,0.004413448,-0.02506389,-0.0070753708,-0.042603277,-0.019673282,-0.0040552495,-0.0071497303,-0.025331633,0.010825844,0.021888878,-0.0005027691,-4.4006363e-05,0.012788542,-0.00888003,-0.016552387,0.018129906,0.0011575659,-0.008638708,0.023764817,0.03328354,-0.033959087,0.0057516824,-0.03898301,0.0026829932,0.014387388,-0.010038339,0.010516459,0.027440706,0.0065461886,0.01024201,-0.037870802,0.021378595,-7.277492e-05,0.009931035,-0.0038674457,0.009953476,-0.007687426,0.0025708817,-0.0055577825,0.013470611,-0.026581997,0.0011378136,-0.018117197,0.016616233,-0.015499559,0.006365719,-0.005286212,0.0031339482,-0.030354632,-0.0045500733,0.027829053,0.0035679636,-0.014503501,-0.005991319,-0.010979467,0.009453181,0.015552733,-0.009936956,0.021235676,0.0139949825,0.01137051,-0.022267554,-0.035148736,0.0104661165,-0.038662232,0.012179489,-0.012137395,-0.01133245,0.01979443,0.008626601,0.020517308,0.024948895,-0.024215752,0.01115889,-0.01930093,-0.03765967,0.013224356,-0.022099271,0.0102996705,0.010353927,-0.030520324,0.009961353,-0.011649094,-0.013677828,-0.008252583,-0.029506994,0.00028661627,-0.004795772,-0.013256427,-0.002463772,-0.0027689482,0.008320533,0.022659048,0.030962842,0.006676711,-0.02361134,0.00081307907,-0.0014128091,0.0012468682,0.00596314,-0.009935016,0.0033241946,-0.0097278245,-0.04452396,0.030493686,-0.009031434,0.008818521,0.015845587,0.0004090477,-0.018204192,0.01774458,-0.0035553402,-0.008354906,-0.010866896,0.015566151,0.008861756,-0.0031125864,0.018665403,0.016787995,-0.0026944138,-0.02268205,0.0032253717,-0.0062988936,0.008697709,-0.0045487513,0.0070819543,0.0068452926,-0.0022246854,-0.0013045926,0.0057342923,0.051997893,-0.014982364,0.005390938,0.020644441,0.016937984,-0.013855805,0.006185,-0.02244109,-0.02343392,0.0065035517,0.0014035061,0.012788773,-0.027901703,0.012393102,-0.022301985,-0.010794383,-0.005872525,-0.009124428,-0.022199174,-0.016617322,-0.01004572,0.007709941,-0.0010362435,-0.008874727,-0.0070409616,0.016267695,-0.0012796185,-0.003204685,-0.009085979,0.010671697,-0.018517256,0.01134036,-0.0026327083,0.015696157,0.019946394,-0.008754316,0.0038542813,0.015607365,0.028499024,-0.010981974,-0.005123936,-0.010755773,-0.006539925,0.023927081,0.014113309,-0.003553781,-0.01765284,0.018922437,-0.009206116,0.03023857,-0.025778167,0.005575014,-0.0077801053,-0.005118137,-0.0048616263,0.008182835,-0.016240671,0.033935342,-0.009232541,-0.013997241,-0.022685226,0.03264778,-0.0061009177,0.035008036,0.01764698,-0.013457698,-0.025768915,-0.017324276,-0.0010570072,0.017462742,0.011549328,0.0004618402,-0.008090093,-0.018489813,0.009809099,0.021188976,0.00012168054,0.0035896285,0.021338442,-0.011408949,-0.00032269701,-0.02199476,-0.0017887899,0.042971406,-0.005128725,-0.009863488,-0.0096215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