[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-why-xiaomi-mimo-v25-pro-changes-coding-agents-zh":3,"tags-why-xiaomi-mimo-v25-pro-changes-coding-agents-zh":38,"related-lang-why-xiaomi-mimo-v25-pro-changes-coding-agents-zh":49,"related-posts-why-xiaomi-mimo-v25-pro-changes-coding-agents-zh":53,"series-model-release-d63e9d93-e613-4bbf-8135-9599fde11d08":90},{"id":4,"title":5,"content":6,"summary":7,"source":8,"source_url":9,"author":10,"image_url":11,"keywords":12,"language":19,"translated_content":10,"views":20,"is_premium":21,"created_at":22,"updated_at":22,"cover_image":11,"published_at":23,"rewrite_status":24,"rewrite_error":10,"rewritten_from_id":25,"slug":26,"category":27,"related_article_id":28,"status":29,"google_indexed_at":30,"x_posted_at":10,"tweet_text":10,"title_rewritten_at":10,"title_original":10,"key_takeaways":31,"topic_cluster_id":35,"embedding":36,"is_canonical_seed":37},"d63e9d93-e613-4bbf-8135-9599fde11d08","為什麼 Xiaomi 的 MiMo-V2.5-Pro 改變的是 Coding …","\u003Cp data-speakable=\"summary\">MiMo-V2.5-Pro 是為長時間、重工具呼叫的程式工作設計，不是為聊天而生。\u003C\u002Fp>\u003Cp>Xiaomi 的 MiMo-V2.5-Pro 不是又一次榜單秀肌肉，而是清楚告訴市場：下一輪 AI 競爭比的是耐力，不是嘴皮子。官方給出的案例很直接，這個模型能在 4.3 小時內做出完整編譯器，經過 672 次 tool c\u003Ca href=\"\u002Fnews\u002Fgala-games-web3-gaming-2026-zh\">al\u003C\u002Fa>ls 後把測試覆蓋率推到 100%，而且在 coding 分數上接近 \u003Ca href=\"\u002Ftag\u002Fclaude\">Claude\u003C\u002Fa> Opus 4.6，同時還少用 40% 到 60% 的 tokens。\u003C\u002Fp>\u003Ch2>第一個論點\u003C\u002Fh2>\u003Cp>真正改變市場的，不是它能不能寫一段程式，而是它能不能把一個任務一路做完。Xiaomi 展示的編譯器案例最有說服力：一開始只有 59% coverage，途中還因為重構把自己改壞，最後能自己發現錯誤並回到 233\u002F233 hidden tests 全過。這不是 autocomplete，而是帶著狀態往前推進的工程工作。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778689858139-v38e.png\" alt=\"為什麼 Xiaomi 的 MiMo-V2.5-Pro 改變的是 Coding …\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>第二個例子更能說明問題。Xiaomi 說它用約 1,870 次 tool calls，花 11.5 小時，無監督完成了一個約 8,000 行 code 的桌面影片編輯器。這種任務的關鍵不是單次回答品質，而是模型能不能記住前文、修正前一步、再接著往下做。對 coding age\u003Ca href=\"\u002Fnews\u002Fanthropic-1-8b-akamai-compute-deal-zh\">nt\u003C\u002Fa> 來說，這才是新的勝負手。\u003C\u002Fp>\u003Ch2>第二個論點\u003C\u002Fh2>\u003Cp>token efficiency 已經不是加分題，而是產品能不能落地的核心條件。Xiaomi 直接宣稱，MiMo-V2.5-Pro 比 Claude Opus 4.6 和 \u003Ca href=\"\u002Ftag\u002Fgemini\">Gemini\u003C\u002Fa> 3.1 Pro 少用 40% 到 60% 的 tokens。對長時間 \u003Ca href=\"\u002Ftag\u002Fagent\">agent\u003C\u002Fa> 工作來說，這代表成本、延遲和失敗面都一起下降。少一半 token，不只是省錢，還意味著同樣的工作可以更穩定地重跑、回滾和擴大部署。\u003C\u002Fp>\u003Cp>上下文長度也支持這個判斷。主版本可處理到 100 萬 tokens，基礎版不經再訓練也有 256,000 tokens；Xiaomi 還說，local 與 global attention 的組合把記憶體用量壓低將近 7 倍，parallel token prediction 則把輸出速度拉高 3 倍。這些數字對聊天產品未必是決勝點，但對要在 agent loop 裡跑幾個小時的系統，直接決定可不可以上線。\u003C\u002Fp>\u003Ch2>反方可能怎麼說\u003C\u002Fh2>\u003Cp>最強的反對意見其實很合理：\u003Ca href=\"\u002Ftag\u002Fbenchmark\">benchmark\u003C\u002Fa> 贏，不等於真實產品場景也贏。模型可以在內部編譯器任務上表現漂亮，卻在混亂的 repository、破碎的 API、模糊的需求和會反悔的人類審查面前失手。長上下文也不是萬靈丹，MiMo-V2-Pro 先前在 \u003Ca href=\"\u002Ftag\u002Fopenai\">OpenAI\u003C\u002Fa> 的 GraphWalks benchmark 上，據稱在 100 萬 token 長度下拿到 0 分，這提醒我們長距推理仍然會崩。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778689872679-vxzf.png\" alt=\"為什麼 Xiaomi 的 MiMo-V2.5-Pro 改變的是 Coding …\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>另一個質疑是，硬體公司做的 open-weight release 常常看起來很強，實際上卻難部署、難微調、難整合進工程流程。MiMo-V2.5-Pro 的內部測試、token 節省和 staged post-training，都還是控制良好的展示，不是帶著 leg\u003Ca href=\"\u002Fnews\u002Fwhy-lace-20-matters-more-than-cardanos-next-hard-fork-zh\">ac\u003C\u002Fa>y dependencies、權限問題和人類干擾的真實 codebase。\u003C\u002Fp>\u003Cp>這些批評成立，但不足以推翻結論。MiMo-V2.5-Pro 的重點不是宣告軟體工程已被解決，而是說明評價標準已經變了。現在更有價值的是能處理多小時任務、保住上下文、並在自己犯錯後修正回來的模型。就算部分 demo 經過挑選，方向仍然清楚，Xiaomi 公布的數字也足以證明：coding agent 的競爭焦點，已經不是聊天品質。\u003C\u002Fp>\u003Ch2>你能做什麼\u003C\u002Fh2>\u003Cp>如果你是工程師或 PM，現在該做的不是追最新聊天模型，而是把工作流改成長任務導向：把流程拆成可觀測階段、記錄每次 tool call、量 token burn，並替模型中途失準設計回復機制。若你是創辦人，請直接拿幾個模型做長時間 agent 測試，重點看誰能在幾小時內穩定完成任務，而不是誰在單輪對話裡最會回答。這一輪的贏家不是最會聊天的模型，而是最會把事做完的模型。\u003C\u002Fp>","MiMo-V2.5-Pro 的重點不在聊天能力，而在長時間、重工具呼叫的 coding agent 工作；它代表 AI 競爭焦點正從會說話，轉向能把任務做完。","www.neura.market","https:\u002F\u002Fwww.neura.market\u002Fnews\u002Fxiaomi-mimo-v2-5-pro-open-model-compiler-coding-benchmarks",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778689858139-v38e.png",[13,14,15,16,17,18],"Xiaomi","MiMo-V2.5-Pro","coding agent","open weights","long-context","tool 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產品能否落地的關鍵。","開放權重策略讓這類模型更容易進入真實開發流程。","0ccb5d2e-69f1-4354-a3e0-cb370221cd95","[-0.009795707,0.020063756,0.0014698484,-0.09799122,-0.025332086,0.009908609,-0.011948395,0.011963804,0.014889866,-0.02142007,-0.037346154,0.0045922673,0.0075362874,0.017617315,0.13216741,0.04279846,0.0063956566,0.012651823,-0.0061831106,0.0063447733,0.013127704,0.024470363,0.014279963,-0.010558248,-0.026835246,-0.0047772923,0.0072888155,0.025421333,0.051641926,-0.0147949,-0.016337115,-0.02192076,-0.0014688392,0.010681112,-0.008000589,0.017672239,0.043013766,0.008758012,-0.019385964,0.0009840871,-0.022819545,-0.02951347,0.0023731228,-0.0098424945,-0.0044287536,0.0023980455,0.021205034,-0.027791781,0.0077356766,0.01538362,-0.0009766811,0.03538222,-0.0011536416,-0.1416955,0.004078789,0.018839687,-0.027314784,0.0024215714,-0.008326408,-0.004482909,-0.008270356,-0.00024587824,-0.026096005,0.0043914565,0.00086527015,-0.007530942,0.030746967,0.014051267,-0.012716899,-0.0024137278,-0.017176693,-0.00820063,-0.014322081,-0.01336957,-0.014436578,-0.02900208,-0.009379256,-0.012489794,0.010915933,0.0059697316,0.006078652,-0.0059098466,0.004195647,0.017771319,-0.007289526,0.00530316,-0.02481176,-0.021851322,0.026644273,-0.005164083,0.0030063745,-0.0022777023,0.013074339,0.0035026176,0.006260766,-0.005952578,-0.029058872,-0.0076174643,0.004485948,-0.01591632,-0.0029955246,-0.014419132,0.0024260818,0.002848158,0.020417016,-0.0030253085,-0.01619771,0.026049813,0.0034768544,0.0061293915,-0.009470504,0.008319543,-0.014362277,0.020392641,-0.011616122,-0.14414345,0.013883733,0.0067831003,-0.0055976068,0.012347379,-0.019290898,0.015851406,-0.014145699,0.02435079,-0.00042775282,-0.00069894124,0.013499539,0.013059443,-0.02582515,0.010116832,-0.040968668,0.014698324,-0.0038828708,-0.018613413,-0.0051361565,0.0153526785,0.008011602,-0.031241545,-0.029540041,0.0022579846,-0.0017448025,0.018744042,-0.0016210526,-0.0043751923,-0.019274734,-0.01516566,-0.037780937,0.031599555,0.016817838,-0.013077392,0.0021060403,-0.020285433,-0.003962645,0.008699759,-0.011752914,-0.024810085,0.0036460145,-0.005817331,0.009759669,0.019645698,0.004082952,-0.02308215,-0.011440996,0.02368394,-0.0059449817,-0.017522441,-0.016239405,0.016901087,-0.0044521536,0.005892009,0.013620451,0.014485729,-0.009266318,0.005379137,0.017129242,-0.005956701,0.001489862,-0.024048895,-0.003492003,-0.012761449,0.029993609,0.013234014,0.0034049375,0.022539647,-0.023693308,-0.00839932,-0.018027352,0.009111908,0.004403761,-0.006907879,-0.026157113,0.00492736,0.007372945,-0.009199277,0.007432233,-0.028350426,-0.010997389,0.016725972,0.0030428097,0.021631705,0.026141124,-0.008591219,0.016484775,-0.049008224,-0.00023010874,-0.018582737,-0.013222849,0.027810885,-0.0075684804,-0.008689329,0.008857383,0.006018209,0.009004836,-0.01609822,-0.012815985,-0.010770634,0.006057068,-0.024471212,0.008704856,-0.01398911,0.0046361615,-0.022679413,0.0070196567,-0.01585346,0.00835982,-0.021907888,-0.011604772,-0.007562872,-0.009207719,0.04040644,0.0072091315,0.023231387,0.021698076,0.009026503,-0.01908665,-0.0035977534,0.018387087,0.016499298,0.026531821,0.005405255,-0.017597286,0.011334504,0.008211825,0.008189997,0.03571371,-0.0217014,0.011877341,0.012776082,-0.011816572,0.00093036966,-0.006705009,0.009182156,-0.0032613273,0.004518667,0.021914696,-0.012227643,0.008080841,0.011634601,-0.014417215,-0.0029535396,-0.006175725,0.0070713293,-0.034010645,-0.008139887,0.011123065,-0.0054853503,0.021842727,0.0088334195,-0.030406436,0.002658183,0.0032133881,-0.0070247264,0.004507951,-0.01470956,0.025776222,-0.01170546,-0.037867106,0.03282644,-0.00089286093,-0.013490496,-0.017328903,0.0030233946,0.00070473604,0.010210774,-0.00063665526,-0.038836483,-0.023140196,-0.022077048,0.0032650195,-0.004299655,0.011719467,0.015402021,-0.014285546,-0.024491645,-0.010637747,-0.017159076,-0.02310371,0.013420104,0.01264199,0.012378265,-0.007878003,-0.0041914526,0.0068478324,0.051482294,-0.035943814,-0.011376413,0.021671765,0.019515859,-0.038843356,-0.028451677,-0.002450645,-0.039522644,-0.0018221939,-0.014740715,-0.008336962,-0.002898519,0.009877638,-0.020542353,-0.009520233,0.0008524917,0.019135125,-0.030682735,-0.009212295,-0.0015548798,-0.0014597165,-0.0043057934,-0.0034183604,0.008756323,0.012201546,-0.0006013481,-0.0011316178,0.023517722,0.04354855,-0.039511926,0.0014368079,-0.00964519,0.016899955,0.003449042,-0.008138292,-0.009279025,-0.01196148,0.0175709,0.01559235,0.00932996,-0.0072749443,0.036926128,0.040954974,0.0010825538,-0.016483895,-0.023646135,0.010358122,-0.0036399644,-0.022746034,-0.02624307,-0.02534878,0.01019134,-0.0003995191,0.004881847,0.0208154,0.0022670012,0.018855752,-0.0013043056,0.02271239,0.0077742785,0.010335129,-0.008749454,0.02258364,0.014797193,0.012104648,-0.02450674,-0.007619382,-0.0021689956,0.009947696,0.010064154,-0.0045276238,-0.004488714,-0.022679187,0.006089972,-0.0043564,-0.0034688525,-0.026667114,0.030651478,-0.032796275,-0.0110327285,-0.0023333663,0.012842785,0.050794896,-0.00071509107,0.0078510195,0.015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