[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-chinese-open-source-ai-models-set-the-pace-zh":3,"article-related-chinese-open-source-ai-models-set-the-pace-zh":31,"series-industry-1c6eda5f-6b17-444c-b0ab-384a81fb9701":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},"1c6eda5f-6b17-444c-b0ab-384a81fb9701","chinese-open-source-ai-models-set-the-pace-zh","中國開源 AI 模型已經定調，西方團隊該把它當新基準","\u003Cp data-speakable=\"summary\">中國實驗室已經領跑\u003Ca href=\"\u002Fnews\u002Faider-open-source-coding-agent-repo-edits-zh\">開源\u003C\u002Fa> AI，西方團隊應把這件事視為新的起跑線。\u003C\u002Fp>\u003Cp>中國實驗室已經把開源 AI 的速度、成本與可用性一起拉到前面，產品、\u003Ca href=\"\u002Fnews\u002Fpost-deterministic-systems-autonomous-infra-zh\">基礎設施\u003C\u002Fa>與採購決策都該以這個現實為前提。\u003C\u002Fp>\u003Cp>Artificial Analysis Intelligence Index v4.0 顯示，前十名開放模型中有八個來自中國公司，Kimi K2.6、MiniMax MMo-V2.5-Pro、DeepSeek V4 Pro、GLM-5.1 都排在前列。這不是單一榜單的偶然。實際採用也在呼應這個趨勢：OfficeChai 引述 a16z 合夥人 Martin Casado 指出，多數使用開源 AI 的新創現在跑的是中國模型；Vercel 也表示，Kimi K2.6 在 Next.js 基準上帶來超過 50% 的提升。市場已經在投票。\u003C\u002Fp>\u003Ch2>第一個論點\u003C\u002Fh2>\u003Cp>中國模型的領先不是只贏在一個分數，而是同時覆蓋推理、寫碼、代理任務與\u003Ca href=\"\u002Ftag\u002F長上下文\">長上下文\u003C\u002Fa>。Kimi K2.6 在相關測試中拿到 53.9 分，並被報導完成一個 8 年歷史的財務匹配引擎重構，歷時 13 小時、發出超過 1,000 次\u003Ca href=\"\u002Fnews\u002Ffigma-release-notes-mcp-agent-qa-tools-zh\">工具\u003C\u002Fa>呼叫，吞吐量提升 185%。這類任務最能檢驗模型是否真的能進生產環境，而不是只會回答提示詞。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781014677198-zh2j.png\" alt=\"中國開源 AI 模型已經定調，西方團隊該把它當新基準\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>DeepSeek V4 Pro 也給出同樣訊號。它在 Intelligence Index 拿到 51.5，並在引用的測試中取得 3206 的 Codeforces rating，表現高於 GPT-5.4 與 \u003Ca href=\"\u002Ftag\u002Fgemini\">Gemini\u003C\u002Fa>-3.1-Pro。GLM-5.1 則把焦點放到代理能力，主張自己在開放權重模型中擁有最高的 agentic index，達到 63，並透過更常拒答不確定問題，把幻覺率降低 56 個百分點。這些數字指向同一件事：中國實驗室優化的是可用智慧，不只是排行榜表演。\u003C\u002Fp>\u003Ch2>第二個論點\u003C\u002Fh2>\u003Cp>這個領先之所以會延續，是因為中國實驗室把能力與架構設計綁在一起，直接壓低部署成本。以 DeepSeek V4 Flash 為例，它總參數 284B、活躍參數只有 13B，卻仍拿到 46.5 分。OfficeChai 指出，完整跑一套基準的成本，Flash 約 113 美元，V4 Pro 則要 1,071 美元。對開源採用來說，單位經濟往往比名氣更重要，因為最後決定是否上線的不是宣傳，而是每次任務要花多少錢。\u003C\u002Fp>\u003Cp>MiniMax 的 MMo-V2.5-Pro 與 M2.7 也展現同樣的策略優勢。公司聲稱其混合專家設計可處理多達一百萬 \u003Ca href=\"\u002Ftag\u002Ftoken\">token\u003C\u002Fa>，這讓長文件與工具密集工作流從「示範功能」變成可落地方案。\u003Ca href=\"\u002Ftag\u002Fqwen\">Qwen\u003C\u002Fa> 3.5 進一步補上商用摩擦的問題，旗艦模型採 Apache 2.0 授權，讓需要私有化部署的團隊更容易導入。當能力、上下文長度與授權條件同時到位，優勢就不只是模型本身，而是整個分發與採用通道。\u003C\u002Fp>\u003Ch2>反方可能怎麼說\u003C\u002Fh2>\u003Cp>最強的反方說法是：榜單會變動，開源領先不等於戰略控制。西方實驗室仍有可打的牌，像 Mistral Medium 3.5 與 \u003Ca href=\"\u002Ftag\u002Fgoogle\">Google\u003C\u002Fa> 的 Gemma 4，都證明非中國團隊依然能做出可信的開放模型。對一些企業來說，資料主權、合規與地緣政治風險會直接蓋過性能差距；在這些環境裡，較容易採購、較容易信任、較容易進內網的供應商，往往就能贏單。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781014678515-3v0z.png\" alt=\"中國開源 AI 模型已經定調，西方團隊該把它當新基準\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>另一個合理疑慮是，並非所有榜單項目都有同等深度的獨立驗證，有些數字也可能只是估算。基準測試本身更無法完整反映安全政策、支援品質、社群成熟度與法務風險。這些限制都是真的，不能假裝不存在。\u003C\u002Fp>\u003Cp>但這些限制並沒有推翻主結論，因為現在出現的是多個獨立訊號同時指向同一方向：中國模型在分數、成本、上下文長度與代理行為上一起領先。即使西方模型仍有競爭力，它們多半是在第二梯隊內互相拉鋸，而不是和最頂端共享位置。這不是一場窄幅勝利，而是開源模型市場的結構性變化。\u003C\u002Fp>\u003Ch2>你能做什麼\u003C\u002Fh2>\u003Cp>如果你是工程師，別再把中國開源模型當備胎，先拿它們做寫碼、工具調用與長上下文任務的第一輪評估；如果你是 PM，模型選型應該以工作負載、延遲與每次任務成本為核心，而不是品牌熟悉度；如果你是創辦人，預設競爭對手已經在測 Kimi、DeepSeek、Qwen 與 MiniMax，並確保你的架構能快速切換模型。最實際的結論很簡單：開源 AI 的重心已經東移，忽視這件事的團隊，最後會在性能與毛利上一起付出代價。\u003C\u002Fp>","中國實驗室已經領跑開源 AI，西方團隊應把這件事視為新的起跑線，而不是短期波動。","officechai.com","https:\u002F\u002Fofficechai.com\u002Fai\u002Ftop-open-source-ai-models\u002F",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781014677198-zh2j.png","industry","zh","fb2bdf11-2fbe-4313-96a0-eff5a9833166",[17,18,19,20,21,22],"中國開源 AI","Kimi K2.6","DeepSeek","MiniMax","Qwen","模型選型",[24,25,26],"中國實驗室已在開源 AI 的綜合表現上建立領先，且不只是一個榜單波動。","這個優勢同時來自能力、成本與授權條件，讓採用更容易落地。","工程、產品與創業決策都應把中國模型視為第一線候選，而非備用方案。",2,"2026-06-09T14:17:23.219913+00:00","2026-06-09T14:17:23.21+00:00","caa87b65-9bbc-46fe-bba8-4f4158dd2d8b",{"tags":32,"relatedLang":43,"relatedPosts":47},[33,35,37,39,41],{"name":21,"slug":34},"qwen",{"name":18,"slug":36},"kimi-k26",{"name":19,"slug":38},"deepseek",{"name":17,"slug":40},"中國開源-ai",{"name":20,"slug":42},"minimax",{"id":15,"slug":44,"title":45,"language":46},"chinese-open-source-ai-models-set-the-pace-en","Chinese Open-Source AI Models Now Set the Pace","en",[48,54,60,66,72,78],{"id":49,"slug":50,"title":51,"cover_image":52,"image_url":52,"created_at":53,"category":13},"e8fb0c5c-9eaa-4ac3-8bbc-0b2975f70be8","june-2026-agentic-ai-platform-war-memory-zh","2026 企業 Agent 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進入資本軍備賽","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781020983153-i88w.png","2026-06-09T16:02:24.024788+00:00",{"id":67,"slug":68,"title":69,"cover_image":70,"image_url":70,"created_at":71,"category":13},"4e985403-e5ea-4fd4-9c21-a6da25ff7e27","doe-solar-der-microgrids-basics-zh","DOE 解析太陽能 DER 與微電網","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781011978902-nqjn.png","2026-06-09T13:32:24.84929+00:00",{"id":73,"slug":74,"title":75,"cover_image":76,"image_url":76,"created_at":77,"category":13},"20af9e7b-4e59-49bd-9307-e91f628d286a","hong-kong-web3-festival-ai-finance-regulation-zh","香港 Web3 Festival 聚焦 AI、金融、監管","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781002981922-90wt.png","2026-06-09T11:02:25.97455+00:00",{"id":79,"slug":80,"title":81,"cover_image":82,"image_url":82,"created_at":83,"category":13},"ebbc8dd1-aba9-41d3-91d3-b7c6010c6647","iren-microsoft-ai-deal-debt-financing-zh","IREN 把 Microsoft AI 合約做成投資級債務","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780997578481-od2s.png","2026-06-09T09:32:21.513305+00:00",[85,90,95,100,105,110,115,120,125,130],{"id":86,"slug":87,"title":88,"created_at":89},"ee073da7-28b3-4752-a319-5a501459fb87","ai-in-2026-what-actually-matters-now-zh","2026 AI 真正重要的事","2026-03-26T07:09:12.008134+00:00",{"id":91,"slug":92,"title":93,"created_at":94},"83bd1795-8548-44c9-9a7e-de50a0923f71","trump-ai-framework-power-speech-state-preemption-zh","川普 AI 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3…","2026-03-26T07:30:12.825269+00:00",{"id":121,"slug":122,"title":123,"created_at":124},"e660d801-2421-4529-8fa9-86b82b066990","metas-llama-4-benchmark-scandal-gets-worse-zh","Meta Llama 4 分數風波又擴大","2026-03-26T07:34:21.156421+00:00",{"id":126,"slug":127,"title":128,"created_at":129},"183f9e7c-e143-40bb-a6d5-67ba84a3a8bc","accenture-mistral-ai-sovereign-enterprise-deal-zh","Accenture 攜手 Mistral AI 賣主權 AI","2026-03-26T07:38:14.818906+00:00",{"id":131,"slug":132,"title":133,"created_at":134},"191d9b1b-768a-478c-978c-dd7431a38149","mistral-ai-faces-its-hardest-year-yet-zh","Mistral AI 迎來最硬的一年","2026-03-26T07:40:23.716374+00:00"]