[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-openai-api-pricing-august-2026-token-costs-zh":3,"article-related-openai-api-pricing-august-2026-token-costs-zh":30,"series-tools-0afe05ab-6675-498f-b179-531a8460290b":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":23,"views":27,"created_at":28,"published_at":29,"topic_cluster_id":11},"0afe05ab-6675-498f-b179-531a8460290b","openai-api-pricing-august-2026-token-costs-zh","OpenAI API 單價落差到 180 美元","\u003Cp>如果你的服務同時跑便宜模型與旗艦模型，\u003Ca href=\"\u002Ftag\u002Fopenai\">OpenAI\u003C\u002Fa> 的帳單可能差到讓人皺眉。BenchLM 在 \u003Ca href=\"\u002Fnews\u002Fowasp-2026-llm-top-10-risk-priorities-zh\">2026\u003C\u002Fa> 年 8 月 7 日更新的\u003Ca href=\"\u002Fnews\u002Fqwen38-max-alibaba-pricing-and-performance-zh\">價格\u003C\u002Fa>追蹤顯示，OpenAI \u003Ca href=\"\u002Ftag\u002Fapi\">API\u003C\u002Fa> 每百萬 \u003Ca href=\"\u002Ftag\u002Ftoken\">token\u003C\u002Fa> 的費用，最低可到 0.05 \u003Ca href=\"\u002Fnews\u002Finstitutional-crypto-tops-30b-tokenization-zh\">美元\u003C\u002Fa>，最高則衝上 180 美元。\u003C\u002Fp>\u003Cp data-speakable=\"summary\">BenchLM 8 月更新 OpenAI API 定價，整理 token 費率、快取折扣、批次價格與\u003Ca href=\"\u002Ftag\u002F長上下文\">長上下文\u003C\u002Fa>加價。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>項目\u003C\u002Fth>\u003Cth>數值\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>最後同步\u003C\u002Ftd>\u003Ctd>2026 年 8 月 7 日\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>最低輸入單價\u003C\u002Ftd>\u003Ctd>每百萬 token 0.05 美元\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>最高輸出單價\u003C\u002Ftd>\u003Ctd>每百萬 token 180 美元\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>GPT-5.6 Sol\u003C\u002Ftd>\u003Ctd>輸入 5 美元／輸出 30 美元\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>GPT-5.6 Terra\u003C\u002Ftd>\u003Ctd>輸入 2 美元／輸出 12 美元\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>GPT-5.6 Luna\u003C\u002Ftd>\u003Ctd>輸入 0.20 美元／輸出 1.20 美元\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>長上下文 GPT-5.6 Sol\u003C\u002Ftd>\u003Ctd>輸入 10 美元／輸出 45 美元\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Batch API 折扣\u003C\u002Ftd>\u003Ctd>5 折\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>發生了什麼\u003C\u002Fh2>\u003Cp>BenchLM 的資料庫已納入 \u003Ca href=\"https:\u002F\u002Fopenai.com\u002F\" target=\"_blank\" rel=\"noopener\">OpenAI\u003C\u002Fa> 的 GPT-5.6 系列，這組模型在 2026 年 7 月 9 日正式 GA。Sol、Terra、Luna 都提供 105 萬 token 的上下文視窗；其中 Terra 與 Luna 在 7 月 30 日調價，Terra 降 20%，Luna 則大砍 80%。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1786300368036-5pzh.png\" alt=\"OpenAI API 單價落差到 180 美元\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>價格頁面也保留舊系列，像是 GPT-5.5、GPT-5.4、GPT-5.1、GPT-4o 與 o 系列。這代表同一個工作負載，可能落在完全不同的價位帶。若只看最便宜選項，GPT-5 nano 的輸入價仍從每百萬 token 0.05 美元起跳；若往上看，GPT-5.5 Pro 與 o1-pro 仍站在高價區。\u003C\u002Fp>\u003Cul>\u003Cli>GPT-5.6 Sol：輸入 5 美元／輸出 30 美元\u003C\u002Fli>\u003Cli>GPT-5.6 Terra：輸入 2 美元／輸出 12 美元\u003C\u002Fli>\u003Cli>GPT-5.6 Luna：輸入 0.20 美元／輸出 1.20 美元\u003C\u002Fli>\u003Cli>GPT-5.5 Pro：輸入 30 美元／輸出 180 美元\u003C\u002Fli>\u003Cli>長上下文計價會把旗艦模型費率再往上推\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>為什麼重要\u003C\u002Fh2>\u003Cp>對開發者來說，現在的帳單不只看 prompt 多長，還要看有沒有吃到快取、是不是走批次、以及是否啟用長上下文。快取輸入只算標準輸入的 10%，Batch API 直接把雙向費率砍半，而 GPT-5.6 的快取寫入則是標準輸入的 1.25 倍，且快取至少保留 30 分鐘。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1786300363412-z981.png\" alt=\"OpenAI API 單價落差到 180 美元\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>這會直接影響產品設計。相同功能如果改成前綴重用、非同步批次或更精準的模型路由，成本可能差一大截。BenchLM 估算，快取加批次的 Sol 工作負載，費用可接近標價的四分之一；換句話說，選模型只是第一步，請求怎麼送，才是最後帳單的分水嶺。\u003C\u002Fp>\u003Cp>另外，OpenAI API 與 \u003Ca href=\"\u002Ftag\u002Fchatgpt\">ChatGPT\u003C\u002Fa> 訂閱是分開計費，買了消費版方案不代表有 API 額度。對團隊最實際的問題也很直接：你真的需要旗艦品質，還是 Terra、Luna，甚至更舊的型號就夠用？\u003C\u002Fp>\u003Cp>結論很簡單：OpenAI API 的成本，不再只是模型單價，而是模型選擇加上請求模式一起決定。\u003C\u002Fp>","BenchLM 8 月 7 日更新 OpenAI API 價格追蹤，顯示每百萬 token 從 0.05 美元到 180 美元不等，快取、批次與長上下文費率也同步影響帳單。","benchlm.ai","https:\u002F\u002Fbenchlm.ai\u002Fopenai\u002Fapi-pricing",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1786300368036-5pzh.png","tools","zh","0eba42be-cb97-4711-9189-e7f4d0d9ffbe",[17,18,19,20,21,22],"OpenAI","API 定價","token 成本","GPT-5.6","快取折扣","批次 API",[24,25,26],"OpenAI API 每百萬 token 價差已擴大到 0.05 美元到 180 美元。","GPT-5.6 系列加入後，Terra 與 Luna 的調價讓不同模型的成本差距更明顯。","快取、Batch API 與長上下文會直接改變實際帳單，模型路由變成成本控制的一部分。",1,"2026-08-09T18:32:26.525684+00:00","2026-08-09T18:32:26.497+00:00",{"tags":31,"relatedLang":34,"relatedPosts":38},[32],{"name":17,"slug":33},"openai",{"id":15,"slug":35,"title":36,"language":37},"openai-api-pricing-august-2026-token-costs-en","OpenAI API Pricing Hits $0.05 to $180\u002FM Tokens","en",[39,45,51,57,63,69],{"id":40,"slug":41,"title":42,"cover_image":43,"image_url":43,"created_at":44,"category":13},"fc9bd7b8-542f-4c91-9965-60ecb3ae417e","deepseek-codex-ai-coding-costs-reset-zh","DeepSeek 接入 Codex 後，AI 編程成本必須重算","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1786321973140-5qz2.png","2026-08-10T00:32:32.710718+00:00",{"id":46,"slug":47,"title":48,"cover_image":49,"image_url":49,"created_at":50,"category":13},"1b9f3648-fe4a-445d-bdc0-fda420e42c6b","token-ciyuan-zhongwen-fenciqi-shice-zh","用詞元實測中文分詞器","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1786320173760-2fu6.png","2026-08-10T00:02:31.714597+00:00",{"id":52,"slug":53,"title":54,"cover_image":55,"image_url":55,"created_at":56,"category":13},"e9622f39-b7db-4d48-bea9-84bc671402cc","usage-limits-chatgpt-enterprise-edu-controls-zh","ChatGPT Enterprise 與 Edu 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變成代理瀏覽器","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1786127603865-k5ht.png","2026-08-07T18:32:56.343308+00:00",{"id":70,"slug":71,"title":72,"cover_image":73,"image_url":73,"created_at":74,"category":13},"def73103-111d-4f21-8eee-653cc18e9f04","cuda-warps-memory-divergence-explained-zh","CUDA 讓 warp 變成一台機器","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1786064608556-bymw.png","2026-08-07T01:02:59.304763+00:00",[76,81,86,91,96,101,106,111,116,121],{"id":77,"slug":78,"title":79,"created_at":80},"855cd52f-6fab-46cc-a7c1-42195e8a0de4","surepath-real-time-mcp-policy-controls-zh","SurePath 推出即時 MCP 政策控管","2026-03-26T07:57:40.77233+00:00",{"id":82,"slug":83,"title":84,"created_at":85},"9b19ab54-edef-4dbd-9ce4-a51e4bae4ebb","mcp-in-2026-the-ai-tool-layer-teams-use-zh","2026 年 MCP：團隊真的在用的 AI 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