[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-china-ai-open-source-efficiency-global-sales-zh":3,"article-related-china-ai-open-source-efficiency-global-sales-zh":31,"series-industry-2a151488-09f9-4aa8-a654-3f1d9d7e159c":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},"2a151488-09f9-4aa8-a654-3f1d9d7e159c","china-ai-open-source-efficiency-global-sales-zh","中國 AI 轉向：開源、效率、出海","\u003Cp data-speakable=\"summary\">中國 AI 正把重點放在低成本\u003Ca href=\"\u002Ftag\u002F開源模型\">開源模型\u003C\u002Fa>、較少算力消耗與海外商用，而不是追求最前沿模型第一名。\u003C\u002Fp>\u003Cp>6 月 16 日，一篇 \u003Ca href=\"https:\u002F\u002Ffortune.com\u002F\" target=\"_blank\" rel=\"noopener\">Fortune\u003C\u002Fa> 文章把這條路線講得很清楚。它指出，中國 AI 產業正在用更便宜的訓練、更開放的模型與外銷需求，去對抗美國的大型資本投入。\u003C\u002Fp>\u003Cp>這個分歧在 2025 年 1 月的 \u003Ca href=\"https:\u002F\u002Fwww.deepseek.com\u002F\" target=\"_blank\" rel=\"noopener\">DeepSeek\u003C\u002Fa> 模型後被放大，外界稱其訓練成本約 600 萬美元。對一個受限於高階晶片供應、但又想快速擴張的市場來說，這類數字本身就很有訊號。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>項目\u003C\u002Fth>\u003Cth>數值\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>DeepSeek 訓練成本\u003C\u002Ftd>\u003Ctd>600 萬美元\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>中國 AI 工程師年薪\u003C\u002Ftd>\u003Ctd>402,000 RMB，約 5.7 萬美元\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>中國開源 LLM 全球使用占比\u003C\u002Ftd>\u003Ctd>約三分之一\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>DeepSeek 2025 年底輸出成本\u003C\u002Ftd>\u003Ctd>每百萬單位 3 RMB，約 0.50 美元\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>民間 AI 投資差距\u003C\u002Ftd>\u003Ctd>美國是中國的 12 倍、英國的 24 倍\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>發生了什麼\u003C\u002Fh2>\u003Cp>文章的核心不是「中國有沒有追上美國」，而是兩邊其實在做不同的產品選擇。美國公司把錢砸向超大型\u003Ca href=\"\u002Ftag\u002F資料中心\">資料中心\u003C\u002Fa>、頂尖人才與 AGI 研究，中國公司則更像在做工程優化，先把模型做便宜、做開、做得能落地。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781702271555-i3q3.png\" alt=\"中國 AI 轉向：開源、效率、出海\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>這種策略差異也反映在成本結構上。中國團隊面對的是較少的資本、更緊的 \u003Ca href=\"\u002Ftag\u002Fgpu\">GPU\u003C\u002Fa> 供應，以及支付能力較弱的國內市場，但同時也有較低薪資、較便宜的土地與電力、補貼式算力，以及大量 AI 博士人才。\u003C\u002Fp>\u003Cp>換句話說，中國 AI 不是在比誰燒更多錢，而是在比誰能用更少資源做出更高產出。這也解釋了為什麼開源模型在中國特別重要，因為它們能更快被複製、微調、部署，進入實際業務流程。\u003C\u002Fp>\u003Cul>\u003Cli>DeepSeek 母公司聲稱，模型訓練成本約 600 萬美元。\u003C\u002Fli>\u003Cli>中國 AI 工程師年薪約 402,000 RMB，折合約 5.7 萬美元。\u003C\u002Fli>\u003Cli>到 2025 年底，中國開源 LLM 已占全球使用量約三分之一。\u003C\u002Fli>\u003Cli>中國模型也進入了前十名的影像轉影片、文字轉影片與影像編輯榜單。\u003C\u002Fli>\u003C\u002Ful>\u003Cp>這代表中國廠商的競爭點，已經從單一語言模型延伸到多模態工具鏈。對外界來說，這不是單純的技術展示，而是供應鏈、成本與產品化速度一起作用的結果。\u003C\u002Fp>\u003Ch2>為什麼重要\u003C\u002Fh2>\u003Cp>對開發者來說，最直接的影響是選項變多了。中國模型因為開源、便宜、容易調整，對新創、研究團隊與\u003Ca href=\"\u002Fnews\u002Fopenai-oracle-universal-credits-enterprise-buying-zh\">企業\u003C\u002Fa>內部應用都很有吸引力，尤其是在東南亞、非洲，甚至一些矽谷團隊也會拿來壓低推理成本。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781702280602-cpei.png\" alt=\"中國 AI 轉向：開源、效率、出海\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>對產業來說，這正在形成第二條 AI 分發管道。中國公司不一定先靠國內高價訂閱回本，而是把重心放到海外\u003Ca href=\"\u002Fnews\u002Fmanaged-chatgpt-access-policy-layers-zh\">企業\u003C\u002Fa>代理、在地化與垂直工具，像 \u003Ca href=\"https:\u002F\u002Fwww.01.ai\u002F\" target=\"_blank\" rel=\"noopener\">01.AI\u003C\u002Fa> 就從純 \u003Ca href=\"\u002Ftag\u002Fllm\">LLM\u003C\u002Fa> 轉向保險、採購、物流與營運用的「超級員工」方案。\u003C\u002Fp>\u003Cp>這也會倒逼美國供應商重新算帳。若中國模型持續在成本與開放度上維持優勢，市場競爭就不再只是比模型參數，而是比誰能用更低總成本交付可用軟體。\u003C\u002Fp>\u003Cp>更現實的問題是，全球企業會不會把中國這套「開源模型 + 低成本部署」當成預設方案。若答案是會，那 AI 產業的主戰場就不只在訓練室裡，也在每一次實際\u003Ca href=\"\u002Fnews\u002Fergo-hestia-pricing-time-to-market-databricks-zh\">上線\u003C\u002Fa>的採購決策裡。\u003C\u002Fp>","中國 AI 正改走低成本、開源與海外商用路線。DeepSeek、Qwen 等模型帶動全球使用，企業也把重心放到代理工具與出海銷售。","fortune.com","https:\u002F\u002Ffortune.com\u002F2026\u002F06\u002F16\u002Fchina-ai-deepseek-open-source-efficiency-global-expansion-strategy\u002F",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781702271555-i3q3.png","industry","zh","e29ca4eb-aad8-42af-821a-af14e70ebc42",[17,18,19,20,21,22],"中國 AI","DeepSeek","開源模型","AI 出海","推理成本","01.AI",[24,25,26],"中國 AI 的主軸不是拼最前沿，而是拼低成本與快部署。","開源模型正在把中國廠商推向海外市場與垂直應用。","成本優勢若持續，競爭焦點會從模型大小轉向總交付成本。",0,"2026-06-17T13:17:25.59471+00:00","2026-06-17T13:17:25.587+00:00","caa87b65-9bbc-46fe-bba8-4f4158dd2d8b",{"tags":32,"relatedLang":36,"relatedPosts":40},[33,34],{"name":19,"slug":19},{"name":18,"slug":35},"deepseek",{"id":15,"slug":37,"title":38,"language":39},"china-ai-open-source-efficiency-global-sales-en","China’s AI bet: open-source, efficiency, global sales","en",[41,47,53,59,65,71],{"id":42,"slug":43,"title":44,"cover_image":45,"image_url":45,"created_at":46,"category":13},"9e33a02c-97e7-4646-9db7-09fc3ee4bd5a","2-billion-nvidia-coherent-ai-plant-huang-warning-zh","2億美元 Nvidia-Coherent AI 廠擴建，黃仁勳再提 AI 規則…","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781704974176-q77e.png","2026-06-17T14:02:28.980686+00:00",{"id":48,"slug":49,"title":50,"cover_image":51,"image_url":51,"created_at":52,"category":13},"1f259ae1-4769-4de4-980e-429b719bb889","huang-marvell-ai-thesis-hyperscale-infrastructure-zh","黃仁勳一句話，把 Marvell 從題材變論點","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781703214058-ndp7.png","2026-06-17T13:33:05.013659+00:00",{"id":54,"slug":55,"title":56,"cover_image":57,"image_url":57,"created_at":58,"category":13},"4a2fbd38-b5c2-4590-9d4b-87f39f95ab9c","ergo-hestia-pricing-time-to-market-databricks-zh","ERGO Hestia 4 招縮短定價上線","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781697768906-9krk.png","2026-06-17T12:02:22.440161+00:00",{"id":60,"slug":61,"title":62,"cover_image":63,"image_url":63,"created_at":64,"category":13},"0cf56d85-887b-4fb1-8589-046da6513d26","openai-oracle-universal-credits-enterprise-buying-zh","OpenAI 進 Oracle 企業採購圈","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781696892976-sx90.png","2026-06-17T11:47:35.092555+00:00",{"id":66,"slug":67,"title":68,"cover_image":69,"image_url":69,"created_at":70,"category":13},"dd3d240a-0f53-49a4-90a5-cac17171f3fd","managed-chatgpt-access-policy-layers-zh","4 層規範決定企業版 ChatGPT 可怎麼用","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781695973066-pbtw.png","2026-06-17T11:32:17.633521+00:00",{"id":72,"slug":73,"title":74,"cover_image":75,"image_url":75,"created_at":76,"category":13},"c826a181-b373-4a9e-a494-1f8f4bc86c3c","openai-service-terms-app-risk-users-zh","OpenAI 服務條款把第三方 App 風險留給使用者","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781695063951-v71m.png","2026-06-17T11:17:21.223004+00:00",[78,83,88,93,98,103,108,113,118,123],{"id":79,"slug":80,"title":81,"created_at":82},"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":84,"slug":85,"title":86,"created_at":87},"83bd1795-8548-44c9-9a7e-de50a0923f71","trump-ai-framework-power-speech-state-preemption-zh","川普 AI 框架瞄準電力、言論與州權","2026-03-26T07:12:18.695466+00:00",{"id":89,"slug":90,"title":91,"created_at":92},"ea6be18b-c903-4e54-97b7-5f7447a612e0","nvidia-gtc-2026-big-ai-announcements-zh","NVIDIA GTC 2026 重點拆解","2026-03-26T07:14:26.62638+00:00",{"id":94,"slug":95,"title":96,"created_at":97},"4bcec76f-4c36-4daa-909f-54cd702f7c93","claude-users-spreading-out-and-getting-better-zh","Claude 用戶更分散，也更會用","2026-03-26T07:22:52.325888+00:00",{"id":99,"slug":100,"title":101,"created_at":102},"bd903b15-2473-4178-9789-b7557816e535","openclaw-raises-hard-question-for-ai-models-zh","OpenClaw 逼問 AI 模型價值","2026-03-26T07:24:54.707486+00:00",{"id":104,"slug":105,"title":106,"created_at":107},"eeac6b9e-ad9d-4831-8eec-8bba3f9bca6a","gap-google-gemini-checkout-fashion-search-zh","Gap 把結帳搬進 Gemini","2026-03-26T07:28:23.937768+00:00",{"id":109,"slug":110,"title":111,"created_at":112},"0740e53f-605d-4d57-8601-c10beb126f3c","google-pushes-gemini-transition-to-march-2026-zh","Google 把 Gemini 轉換延到 2026 年 3…","2026-03-26T07:30:12.825269+00:00",{"id":114,"slug":115,"title":116,"created_at":117},"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":119,"slug":120,"title":121,"created_at":122},"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":124,"slug":125,"title":126,"created_at":127},"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"]