[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-gpt-56-sol-terra-luna-digitalocean-ai-zh":3,"article-related-gpt-56-sol-terra-luna-digitalocean-ai-zh":30,"series-model-release-0b89c453-80d5-4b7e-b183-d274c1907a0b":75},{"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":22,"views":26,"created_at":27,"published_at":28,"topic_cluster_id":29},"0b89c453-80d5-4b7e-b183-d274c1907a0b","gpt-56-sol-terra-luna-digitalocean-ai-zh","GPT-5.6 三模型上線 DigitalOcean","\u003Cp>開發者在同一套雲後端裡調用大模型時，常要在性能、價格和部署複雜度之間做取捨。這次 \u003Ca href=\"https:\u002F\u002Fzhuanlan.zhihu.com\u002Fp\u002F2060030333110817337\" target=\"_blank\" rel=\"noopener\">DigitalOcean\u003C\u002Fa> 把 \u003Ca href=\"https:\u002F\u002Fopenai.com\u002F\" target=\"_blank\" rel=\"noopener\">OpenAI\u003C\u002Fa> 的 GPT-5.6 三個模型接進無伺服器推理服務，讓選型更像調參，而不是重搭一套 \u003Ca href=\"\u002Ftag\u002Fapi\">API\u003C\u002Fa>。\u003C\u002Fp>\u003Cp data-speakable=\"summary\">GPT-5.6 Sol、Terra、Luna 已在 DigitalOcean Serverless \u003Ca href=\"\u002Ftag\u002Finference\">Inference\u003C\u002Fa> 上線。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>項目\u003C\u002Fth>\u003Cth>數值\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>上線模型\u003C\u002Ftd>\u003Ctd>Sol、Terra、Luna\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Sol 定價\u003C\u002Ftd>\u003Ctd>輸入 $5 \u002F 100萬 Token，輸出 $30 \u002F 100萬 Token\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Terra 定價\u003C\u002Ftd>\u003Ctd>輸入 $2.50 \u002F 100萬 Token，輸出 $15 \u002F 100萬 Token\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Luna 定價\u003C\u002Ftd>\u003Ctd>輸入 $1 \u002F 100萬 Token，輸出 $6 \u002F 100萬 Token\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>發布時間\u003C\u002Ftd>\u003Ctd>2026-07-13\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>發生了什麼\u003C\u002Fh2>\u003Cp>這次更新把 GPT-5.6 的三檔模型直接放進 DigitalOcean Serverless Inference。Sol 面向高強度推理，Terra 適合日常生產負載，Luna 則主打更快速度和更低成本。\u003Ca href=\"\u002Fnews\u002Fai-agent-act-platform-access-regulation-zh\">平台\u003C\u002Fa>也同步提供 Max Reasoning 與 Ultra 兩種推理模式，用來處理更長鏈路、更多步驟的任務。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1784273583159-7xfk.png\" alt=\"GPT-5.6 三模型上線 DigitalOcean\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>對已經把應用、資料庫和後端服務放在 DigitalOcean 的團隊來說，這不是單純多一個模型選項。推理請求可以直接嵌進現有\u003Ca href=\"\u002Fnews\u002Fgrok-4-5-one-prompt-agent-work-zh\">工作流\u003C\u002Fa>，少掉額外維運與額外雲帳號切換。若團隊要做客服、內容\u003Ca href=\"\u002Fnews\u002Fmeanflownft-forward-process-rl-average-velocity-zh\">生成\u003C\u002Fa>、程式輔助或資料摘要，三個模型可以按任務分流。\u003C\u002Fp>\u003Cp>文章列出的定位也很清楚，三個模型不是同一個價格帶上的重複品，而是不同成本和能力的組合。Sol 偏向複雜推理，Terra 走平衡路線，Luna 則適合大量、低延遲請求。這讓開發者能先選任務，再選模型，而不是反過來。\u003C\u002Fp>\u003Cul>\u003Cli>Sol 在 Terminal-Bench 2.1 上表現靠前，壓過 GPT 5.5、Claude Mythos 5、Fable5 和 Opus 4.8。\u003C\u002Fli>\u003Cli>在 ExploitBench 2 上，Sol 只用約三分之一輸出 Token，就能接近 Mythos Preview 的結果。\u003C\u002Fli>\u003Cli>在 ExploitGym 中，Sol、Terra、Luna 隨推理強度提升，網路安全能力都有增長。\u003C\u002Fli>\u003Cli>三款模型都按 100 萬 Token 計費，雲端價格與 OpenAI 一致。\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>為什麼重要\u003C\u002Fh2>\u003Cp>對開發者來說，變化不只是多了幾個 model name，而是多了一個更容易工程化的入口。無伺服器推理把硬體維運、容量規劃和閒置成本抽掉，對流量波動大的產品特別有用。這類架構也更適合把 AI 功能做成按量計費的服務。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1784273591230-xlj1.png\" alt=\"GPT-5.6 三模型上線 DigitalOcean\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>對中小團隊而言，重點在於統一接入和降低切換成本。若同一個雲平台就能在 GPT-5.6、其他商用模型與不同推理強度之間切換，工程團隊就少了重寫接入層的工作。這也讓產品可以先上線，再依成本和效果微調模型配置。\u003C\u002Fp>\u003Cp>從產業角度看，雲廠商內建推理服務正在改變採購順序。過去常是先決定模型，再圍繞模型建系統；現在更像是先把推理能力納入雲栈，再按任務、延遲和價格動態選型。這對需要快速迭代的 SaaS、內部工具和 \u003Ca href=\"\u002Ftag\u002Fai-agent\">AI agent\u003C\u002Fa> 專案都很直接。\u003C\u002Fp>\u003Cp>問題也因此變得更具體：當模型可以在雲平台內即時切換，團隊還會把「選哪個模型」當成一次性決策嗎？\u003C\u002Fp>","DigitalOcean 把 OpenAI GPT-5.6 的 Sol、Terra、Luna 接入 Serverless Inference，開發者可在同一雲後端按任務切換模型與推理強度。","zhuanlan.zhihu.com","https:\u002F\u002Fzhuanlan.zhihu.com\u002Fp\u002F2060030333110817337",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1784273583159-7xfk.png","model-release","zh","1e39ce22-07bb-4157-9431-44f1f8dab813",[17,18,19,20,21],"DigitalOcean","OpenAI","GPT-5.6","Serverless Inference","無伺服器推理",[23,24,25],"DigitalOcean 把 GPT-5.6 的 Sol、Terra、Luna 接進 Serverless Inference，開發者可按任務切換模型。","三檔模型對應不同成本與推理強度，適合把高負載、日常與低成本請求分流。","無伺服器推理降低維運與切換成本，對中小團隊和雲上產品更實用。",0,"2026-07-17T07:32:36.367538+00:00","2026-07-17T07:32:36.342+00:00","0ccb5d2e-69f1-4354-a3e0-cb370221cd95",{"tags":31,"relatedLang":34,"relatedPosts":38},[32],{"name":18,"slug":33},"openai",{"id":15,"slug":35,"title":36,"language":37},"gpt-56-sol-terra-luna-digitalocean-inference-en","GPT-5.6 Sol, Terra, Luna arrive on DigitalOcean","en",[39,45,51,57,63,69],{"id":40,"slug":41,"title":42,"cover_image":43,"image_url":43,"created_at":44,"category":13},"98e69dcf-3061-407f-b821-e37370180463","gpt-5-6-three-variants-lower-token-costs-zh","GPT-5.6 三版本登場，Token 成本更低","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1784282584596-z26c.png","2026-07-17T10:02:36.272941+00:00",{"id":46,"slug":47,"title":48,"cover_image":49,"image_url":49,"created_at":50,"category":13},"735a41dd-c91a-4599-81fd-e429f84d39ba","grok-4-5-rise-five-numbers-zh","Grok 4.5 的上升靠這 5 個數字","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1784235775330-7uyg.png","2026-07-16T21:02:31.759856+00:00",{"id":52,"slug":53,"title":54,"cover_image":55,"image_url":55,"created_at":56,"category":13},"dfad8ae3-1fd4-4167-ad8e-66afba6f0355","grok-4-5-one-prompt-agent-work-zh","Grok 4.5 讓一個提示詞跑完整個工作流","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1784232197736-yho5.png","2026-07-16T20:02:54.058039+00:00",{"id":58,"slug":59,"title":60,"cover_image":61,"image_url":61,"created_at":62,"category":13},"910cf077-b134-47fd-b9f1-34432cf40ad6","kimi-api-quickstart-k27-code-highspeed-zh","Kimi API 快速上手加入 K2.7 Code 與 Highspeed","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1784190787891-mhqq.png","2026-07-16T08:32:41.137799+00:00",{"id":64,"slug":65,"title":66,"cover_image":67,"image_url":67,"created_at":68,"category":13},"24de8ca9-18d2-4ef4-9e5c-0a0ed2b79469","chatgpt-gpt-live-voice-upgrade-zh","ChatGPT語音換上GPT-Live，順多了","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1784160181308-zki4.png","2026-07-16T00:02:40.834392+00:00",{"id":70,"slug":71,"title":72,"cover_image":73,"image_url":73,"created_at":74,"category":13},"4b78bdfc-3230-48be-83f4-13929c4951a8","anthropic-extends-claude-fable-access-after-gpt56-zh","GPT-5.6 逼出 Anthropic 延長 Claude Fable 5","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1784118777238-pcq5.png","2026-07-15T12:32:32.235845+00:00",[76,81,86,91,96,101,106,111,116,121],{"id":77,"slug":78,"title":79,"created_at":80},"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":82,"slug":83,"title":84,"created_at":85},"0dcc2c61-c2a6-480d-adb8-dd225fc68914","march-2026-ai-model-news-what-mattered-zh","2026 年 3 月 AI 模型新聞重點","2026-03-26T07:32:08.386348+00:00",{"id":87,"slug":88,"title":89,"created_at":90},"214ab08b-5ce5-4b5c-8b72-47619d8675dd","why-small-models-are-winning-on-device-ai-zh","小模型為何吃下裝置端 AI","2026-03-26T07:36:30.488966+00:00",{"id":92,"slug":93,"title":94,"created_at":95},"785624b2-0355-4b82-adc3-de5e45eecd88","midjourney-v8-faster-images-higher-costs-zh","Midjourney V8 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贏了…","2026-04-02T04:03:36.31741+00:00",{"id":122,"slug":123,"title":124,"created_at":125},"975a7aef-030e-41a6-9401-1c6a342be68e","april-2026-ai-model-releases-zh","2026年4月 AI 模型更新追蹤","2026-04-02T08:45:33.308563+00:00"]