[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-kimi-k26-open-source-coding-agentic-ai-benchmarks-zh":3,"article-related-kimi-k26-open-source-coding-agentic-ai-benchmarks-zh":31,"series-model-release-ca1e6960-10e7-4fa7-949f-c5991c99fc7e":77},{"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},"ca1e6960-10e7-4fa7-949f-c5991c99fc7e","kimi-k26-open-source-coding-agentic-ai-benchmarks-zh","Kimi K2.6 登頂程式與代理式 AI 基準","\u003Cp data-speakable=\"summary\">\u003Ca href=\"\u002Ftag\u002Fmoonshot-ai\">Moonshot AI\u003C\u002Fa> 在 \u003Ca href=\"\u002Fnews\u002Fbest-ai-coding-agent-2026-ranked-benchmarks-zh\">2026\u003C\u002Fa> 年 6 月 26 日推出 Kimi K2.6，主打\u003Ca href=\"\u002Ftag\u002F長上下文\">長上下文\u003C\u002Fa>程式開發與\u003Ca href=\"\u002Fnews\u002Fclaude-code-turns-agent-setup-into-terminal-work-zh\">代理\u003C\u002Fa>式\u003Ca href=\"\u002Fnews\u002Fdevin-ai-alternatives-real-workflows-zh\">工作流\u003C\u002Fa>程，並在多項基準與實測中跑出高分。\u003C\u002Fp>\u003Cp>Moonshot AI 的 \u003Ca href=\"https:\u002F\u002Fwww.moonshot.ai\" target=\"_blank\" rel=\"noopener\">Moonshot AI\u003C\u002Fa> 在 2026 年 6 月 26 日釋出 Kimi K2.6，這是一款開放權重模型，鎖定程式撰寫、介面設計與多代理協作。它可透過 Hugging Face 與 Kimi API 使用，採用 Mixture-of-Experts 架構，context window 拉到 262,144 tokens。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>項目\u003C\u002Fth>\u003Cth>數值\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>發布日期\u003C\u002Ftd>\u003Ctd>2026-06-26\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Context window\u003C\u002Ftd>\u003Ctd>262,144 tokens\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>API 價格\u003C\u002Ftd>\u003Ctd>每 100 萬輸入 token 0.74 美元／每 100 萬輸出 token 3.50 美元\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>子代理規模\u003C\u002Ftd>\u003Ctd>300 個\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>協作步數\u003C\u002Ftd>\u003Ctd>4,000 步\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Kimi Design Bench\u003C\u002Ftd>\u003Ctd>在視覺輸入、登陸頁、全端應用、創意程式等面向優於 Google AI Studio\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>發生了什麼\u003C\u002Fh2>\u003Cp>K2.6 不是小幅修補版。Moonshot 表示，這次更新把 Toolathlon 表現提升將近 80%，在 BrowseComp 與 \u003Ca href=\"\u002Ftag\u002Fswe-bench\">SWE-Bench\u003C\u002Fa> Pro 上也各多出約 8 分，代理群組則從 100 個代理、1,500 步，擴大到 300 個代理、4,000 步協作。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782739078329-qvne.png\" alt=\"Kimi K2.6 登頂程式與代理式 AI 基準\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>官方公布的成績也很密集：\u003Ca href=\"\u002Ftag\u002Fswe-bench-verified\">SWE-Bench Verified\u003C\u002Fa> 80.2、LiveCodeBench v6 89.6、SWE-Bench Multilingual 76.7、Terminal-Bench 2.0 66.7、HLE-Full with tools 54.0、DeepSearchQA 92.5、OSWorld-Verified 73.1。這些分數把它推到接近多個閉源模型的區間。\u003C\u002Fp>\u003Cul>\u003Cli>長上下文程式任務：跨檔案重構、編譯器驅動除錯、多語言協作\u003C\u002Fli>\u003Cli>設計導向開發：把提示詞直接轉成互動式前端與資料庫應用\u003C\u002Fli>\u003Cli>代理群組協作：數百個子代理同時分工執行\u003C\u002Fli>\u003Cli>長時間實測：超過 4,000 次工具呼叫、連跑 12 小時以上\u003C\u002Fli>\u003C\u002Ful>\u003Cp>Moonshot 的示範也很直接。模型曾在 Mac 上本地部署小型模型、把推論改寫成 Zig，將吞吐量從每秒約 15 個 \u003Ca href=\"\u002Ftag\u002Ftoken\">token\u003C\u002Fa> 拉到 193。另一個案例中，它對舊版金融撮合引擎做出 1,000 多處程式修改，讓中位吞吐量提升 185%，峰值吞吐量提升 133%。\u003C\u002Fp>\u003Ch2>為什麼重要\u003C\u002Fh2>\u003Cp>對開發者來說，K2.6 的價值在於把規劃、寫碼、除錯、介面生成與工具使用收進同一個模型，適合做程式助理、自動重構工具、研究代理與需要長時間保持狀態的應用。對正在做 agentic workflow 的團隊，這代表可以少接幾層外部服務，直接把更多工作交給模型本身。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782739078477-9o3m.png\" alt=\"Kimi K2.6 登頂程式與代理式 AI 基準\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>對產業來說，價格訊號更直接。每 100 萬輸入 token 0.74 美元、輸出 3.50 美元，讓這款開放權重模型有機會和閉源系統正面競爭。若企業能承擔推理基礎設施，它就可能成為大量代理任務的低成本選項。\u003C\u002Fp>\u003Cp>但門檻也在這裡。長上下文、密集工具呼叫、平行代理都會把部署壓力放大，\u003Ca href=\"https:\u002F\u002Fwww.truefoundry.com\" target=\"_blank\" rel=\"noopener\">TrueFoundry\u003C\u002Fa> 這類 AI Gateway 才會變成實務必需品，負責路由、併發控制、追蹤與成本歸因。問題不再是模型能不能做，而是團隊能不能穩定跑起來。\u003C\u002Fp>\u003Cp>真正的考題不是分數表，而是開放權重代理式 AI 能不能從炫目的 demo，變成可重複、可監控、可上線的生產系統。\u003C\u002Fp>","Moonshot AI 在 2026-06-26 發布 Kimi K2.6，主打 262,144 token 長上下文、300 子代理與 4,000 步協作，並在多項程式與代理式基準拿下高分。","www.truefoundry.com","https:\u002F\u002Fwww.truefoundry.com\u002Fblog\u002Fkimi-k2-6-the-open-source-coding-giant-thats-reshaping-agentic-ai",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782739078329-qvne.png","model-release","zh","2b2e09ae-d63f-4d0d-88c9-ca494fc7cc3b",[17,18,19,20,21,22],"Kimi K2.6","Moonshot AI","代理式 AI","程式基準","長上下文","開放權重模型",[24,25,26],"Kimi K2.6 於 2026-06-26 發布，主打 262,144 token 長上下文與 300 子代理協作。","它在 SWE-Bench、LiveCodeBench、DeepSearchQA 等多項基準繳出高分，並有長時間實測。","對企業來說，真正的門檻是低成本推理之外的部署與併發管理。",0,"2026-06-29T13:17:26.530857+00:00","2026-06-29T13:17:26.522+00:00","0ccb5d2e-69f1-4354-a3e0-cb370221cd95",{"tags":32,"relatedLang":36,"relatedPosts":40},[33,35],{"name":18,"slug":34},"moonshot-ai",{"name":21,"slug":21},{"id":15,"slug":37,"title":38,"language":39},"kimi-k26-open-source-coding-agentic-ai-benchmarks-en","Kimi K2.6 tops coding and agentic AI benchmarks","en",[41,47,53,59,65,71],{"id":42,"slug":43,"title":44,"cover_image":45,"image_url":45,"created_at":46,"category":13},"cfb68e08-fe4e-49f6-b449-e566faf56311","kimi-2-7-price-coding-benchmark-zh","Kimi 2.7 讓價格成為真正的寫碼基準","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782746270225-tcs9.png","2026-06-29T15:17:24.321277+00:00",{"id":48,"slug":49,"title":50,"cover_image":51,"image_url":51,"created_at":52,"category":13},"edf8e66b-c717-4cc1-b15a-96839bb7bbcf","llama-legends-380-season-3-heroes-raids-zh","Llama Legends 3.8.0 推出 Season 3 英雄與突襲","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782711179415-qurv.png","2026-06-29T05:32:32.733919+00:00",{"id":54,"slug":55,"title":56,"cover_image":57,"image_url":57,"created_at":58,"category":13},"88d353ca-468b-4774-922d-ef0cbc2edd68","omlx-045-dev1-glm52-minimax-m3-speedups-zh","oMLX 0.4.5.dev1 讓長上下文更快","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782709372375-25nm.png","2026-06-29T05:02:28.341041+00:00",{"id":60,"slug":61,"title":62,"cover_image":63,"image_url":63,"created_at":64,"category":13},"e6ae84b6-4e55-4ab2-a1cf-4a08e23cbc77","grok-45-private-beta-tesla-spacex-zh","Grok 4.5 先進 Tesla 和 SpaceX 內測","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782687769532-te5b.png","2026-06-28T23:02:22.915901+00:00",{"id":66,"slug":67,"title":68,"cover_image":69,"image_url":69,"created_at":70,"category":13},"186b266a-5b45-4bd4-85a4-5fa62fcc50dc","google-openrl-llm-fine-tuning-kubernetes-zh","Google OpenRL 把 RL 細調搬上 Kubernetes","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782572576166-gzxw.png","2026-06-27T15:02:27.036919+00:00",{"id":72,"slug":73,"title":74,"cover_image":75,"image_url":75,"created_at":76,"category":13},"9258a3d6-b70c-493d-84b9-c791df86f495","diffusiongemma-runs-fast-on-nvidia-rtx-dgx-zh","DiffusionGemma 在 RTX 與 DGX 跑很快","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782570778712-u643.png","2026-06-27T14:32:34.436232+00:00",[78,83,88,93,98,103,108,113,118,123],{"id":79,"slug":80,"title":81,"created_at":82},"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":84,"slug":85,"title":86,"created_at":87},"0dcc2c61-c2a6-480d-adb8-dd225fc68914","march-2026-ai-model-news-what-mattered-zh","2026 年 3 月 AI 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