[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-openai-gpt-5-6-pricing-tiers-zh":3,"article-related-openai-gpt-5-6-pricing-tiers-zh":31,"series-model-release-241f7378-04d7-4fdd-903d-5c32afbea477":76},{"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},"241f7378-04d7-4fdd-903d-5c32afbea477","openai-gpt-5-6-pricing-tiers-zh","OpenAI 列出 GPT-5.6 三檔定價","\u003Cp>團隊在挑 OpenAI 模型時，現在更容易先看價格，再看能力。\u003Ca href=\"https:\u002F\u002Fdevelopers.openai.com\u002Fapi\u002Fdocs\u002Fmodels\" target=\"_blank\" rel=\"noopener\">OpenAI Developers\u003C\u002Fa> 更新後，把 GPT-5.6 Sol、Terra、Luna 直接放到目錄前台。\u003C\u002Fp>\u003Cp data-speakable=\"summary\">\u003Ca href=\"\u002Ftag\u002Fopenai\">OpenAI\u003C\u002Fa> 更新模型目錄，將 GPT-5.6 分成三檔定價，並同步列出多模態與上下文上限。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>項目\u003C\u002Fth>\u003Cth>數值\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>GPT-5.6 Sol input price\u003C\u002Ftd>\u003Ctd>$5 \u002F MTok\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>GPT-5.6 Sol output price\u003C\u002Ftd>\u003Ctd>$30 \u002F MTok\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>GPT-5.6 Terra input price\u003C\u002Ftd>\u003Ctd>$2.50 \u002F MTok\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>GPT-5.6 Luna input price\u003C\u002Ftd>\u003Ctd>$1 \u002F MTok\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Context window\u003C\u002Ftd>\u003Ctd>1.05M tokens\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Max output\u003C\u002Ftd>\u003Ctd>128K tokens\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>發生了什麼\u003C\u002Fh2>\u003Cp>這次更新把主推模型拆成三個檔位，分別對應不同工作負載。Sol 主打複雜\u003Ca href=\"\u002Fnews\u002Fsoftreason-differentiable-deductive-reasoning-zh\">推理\u003C\u002Fa>與程式開發，Terra 走成本與能力的中間路線，Luna 則鎖定高頻、重吞吐場景。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1784811764336-hr3z.png\" alt=\"OpenAI 列出 GPT-5.6 三檔定價\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>這種分法很直接，也很像雲端服務常見的分級邏輯。對開發者來說，選型不再只看「能不能做」，而是先看「每千萬 \u003Ca href=\"\u002Ftag\u002Ftoken\">token\u003C\u002Fa> 要花多少」以及「哪一檔最接近需求」。\u003C\u002Fp>\u003Cp>OpenAI 也把能力說得更完整，包含文字與圖片輸入、文字輸出、多語言與視覺支援。這代表模型目錄不只是價格表，也是在告訴團隊哪些能力可以共用同一套接入方式。\u003C\u002Fp>\u003Cul>\u003Cli>Sol：$5 輸入、$30 輸出 \u002F MTok\u003C\u002Fli>\u003Cli>Terra：$2.50 輸入、$15 輸出 \u002F MTok\u003C\u002Fli>\u003Cli>Luna：$1 輸入、$6 輸出 \u002F MTok\u003C\u002Fli>\u003Cli>共同上限：1.05M context、128K 最大輸出\u003C\u002Fli>\u003C\u002Ful>\u003Cp>官方\u003Ca href=\"\u002Fnews\u002Fjianguoyun-gongxiangwenjian-tongbu-you-sheng-zh\">文件\u003C\u002Fa>也把這三個模型和 \u003Ca href=\"https:\u002F\u002Fdevelopers.openai.com\u002Fapi\u002Fdocs\u002Fresponses\" target=\"_blank\" rel=\"noopener\">Responses API\u003C\u002Fa>、OpenAI 客戶端 SDK 綁在一起。對正在做 production app 的團隊，這意味著模型比較、串接、切換可以放在同一個工作流裡處理。\u003C\u002Fp>\u003Ch2>為什麼重要\u003C\u002Fh2>\u003Cp>對開發者來說，這次更新最大的\u003Ca href=\"\u002Fnews\u002Flkvalues-sri-lankan-values-llm-alignment-zh\">價值\u003C\u002Fa>是把成本差異攤開。以前常要翻多份文件，現在一眼就能看出哪個模型適合 code-heavy 任務，哪個適合控預算，哪個適合大量請求。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1784811762432-rylw.png\" alt=\"OpenAI 列出 GPT-5.6 三檔定價\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>這也反映出模型採購方式正在改變。團隊不再只問「哪個模型最強」，而是把 latency、budget、輸出長度、影像輸入和多語言需求一起放進決策表，這對客服、內容生成、文件分析、內部助理都很實用。\u003C\u002Fp>\u003Cp>對產業端而言，1.05M token 的 context 和 128K 輸出上限，讓長文檢索、程式碼庫分析、長對話代理更容易規劃。若產品本來就需要圖片輸入，這次目錄整理也降低了切模型時的整合摩擦。\u003C\u002Fp>\u003Cp>更現實的影響是，定價分層會逼團隊更早做工作負載拆分。高價模型不一定該跑全部流程，低價模型也不一定只拿來做邊緣任務，真正的差別在於怎麼把每一層用在對的位置。\u003C\u002Fp>\u003Cp>現在的問題已經不是 GPT-5.6 能不能處理文字和圖片，而是你的產品該把哪一段流量交給 Sol、Terra，還是 Luna。這份目錄更新，等於把選型題目直接攤到每個團隊面前。\u003C\u002Fp>","OpenAI 更新模型目錄，把 GPT-5.6 分成 Sol、Terra、Luna 三檔，並公開對應價格、1.05M context 與 128K 輸出上限。","developers.openai.com","https:\u002F\u002Fdevelopers.openai.com\u002Fapi\u002Fdocs\u002Fmodels",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1784811764336-hr3z.png","model-release","zh","a0a9b58d-78ad-479a-b939-f918cf30ee6f",[17,18,19,20,21,22],"OpenAI","GPT-5.6","定價","模型目錄","Responses API","多模態",[24,25,26],"OpenAI 把 GPT-5.6 拆成 Sol、Terra、Luna 三檔，並公開對應價格。","三個模型共享 1.05M token context 與 128K 最大輸出，適合長上下文工作。","對開發者來說，選型重點從單純能力轉向成本、吞吐與整合方式。",0,"2026-07-23T13:02:23.344674+00:00","2026-07-23T13:02:23.322+00:00","090aad64-4cca-4fed-817f-d4342490048b",{"tags":32,"relatedLang":35,"relatedPosts":39},[33],{"name":17,"slug":34},"openai",{"id":15,"slug":36,"title":37,"language":38},"openai-model-catalog-gpt-5-6-pricing-tiers-en","OpenAI model catalog adds GPT-5.6 pricing tiers","en",[40,46,52,58,64,70],{"id":41,"slug":42,"title":43,"cover_image":44,"image_url":44,"created_at":45,"category":13},"20c23f9d-2ddf-43b1-97ba-f97a494b006e","gemini-3-6-flash-efficiency-over-hype-zh","Gemini 3.6 Flash 證明 Google 把效率放在 hype 前面","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1784725369011-xwnw.png","2026-07-22T13:02:20.322757+00:00",{"id":47,"slug":48,"title":49,"cover_image":50,"image_url":50,"created_at":51,"category":13},"0de8d105-5bda-4eab-8cba-fb6f9515ec78","kimi-k3-grok-build-code-analysis-zh","Kimi K3讀懂82萬行 Grok Build 代碼","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1784711003170-xiom.png","2026-07-22T09:02:38.007579+00:00",{"id":53,"slug":54,"title":55,"cover_image":56,"image_url":56,"created_at":57,"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":59,"slug":60,"title":61,"cover_image":62,"image_url":62,"created_at":63,"category":13},"0b89c453-80d5-4b7e-b183-d274c1907a0b","gpt-56-sol-terra-luna-digitalocean-ai-zh","GPT-5.6 三模型上線 DigitalOcean","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1784273583159-7xfk.png","2026-07-17T07:32:36.367538+00:00",{"id":65,"slug":66,"title":67,"cover_image":68,"image_url":68,"created_at":69,"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":71,"slug":72,"title":73,"cover_image":74,"image_url":74,"created_at":75,"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",[77,82,87,92,97,102,107,112,117,122],{"id":78,"slug":79,"title":80,"created_at":81},"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":83,"slug":84,"title":85,"created_at":86},"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":88,"slug":89,"title":90,"created_at":91},"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":93,"slug":94,"title":95,"created_at":96},"785624b2-0355-4b82-adc3-de5e45eecd88","midjourney-v8-faster-images-higher-costs-zh","Midjourney V8 變快了，也變貴了","2026-03-26T07:52:03.562971+00:00",{"id":98,"slug":99,"title":100,"created_at":101},"9e1044b4-946d-47fe-9e2a-c2ee032e1164","xiaomi-mimo-v2-pro-1t-moe-agents-zh","小米 MiMo-V2-Pro 登場：1T MoE 模型","2026-03-28T03:06:19.002353+00:00",{"id":103,"slug":104,"title":105,"created_at":106},"c4b6186f-bd84-4598-997e-c6e31d543c0d","cursor-composer-2-agentic-coding-model-zh","Cursor Composer 2 走向代理式寫碼","2026-03-28T03:13:06.422716+00:00",{"id":108,"slug":109,"title":110,"created_at":111},"e112e76f-ec3b-408f-810e-e93ae21a888a","apple-siri-gemini-distilled-models-zh","Apple Siri 牽手 Gemini 的真相","2026-03-29T04:52:57.886544+00:00",{"id":113,"slug":114,"title":115,"created_at":116},"c679b51f-194a-463b-87fc-7695256ff752","mimo-v2-pro-vs-omni-vs-flash-2026-zh","MiMo V2 Pro、Omni、Flash 怎麼選","2026-04-02T01:18:43.576128+00:00",{"id":118,"slug":119,"title":120,"created_at":121},"3b988fd7-6749-4f01-ba25-c0ad7486dc31","z-ai-glm-5v-turbo-design2code-claude-zh","GLM-5V-Turbo 在 Design2Code 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