[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-kimi-k2-5-pricing-2026-plans-api-costs-zh":3,"tags-kimi-k2-5-pricing-2026-plans-api-costs-zh":34,"related-lang-kimi-k2-5-pricing-2026-plans-api-costs-zh":51,"related-posts-kimi-k2-5-pricing-2026-plans-api-costs-zh":55,"series-model-release-dcc21caf-c9c5-480a-bec8-259e2f1e2ee5":92},{"id":4,"title":5,"content":6,"summary":7,"source":8,"source_url":9,"author":10,"image_url":11,"keywords":12,"language":22,"translated_content":10,"views":23,"is_premium":24,"created_at":25,"updated_at":25,"cover_image":11,"published_at":26,"rewrite_status":27,"rewrite_error":10,"rewritten_from_id":28,"slug":29,"category":30,"related_article_id":31,"status":32,"google_indexed_at":33,"x_posted_at":10,"tweet_text":10,"title_rewritten_at":10,"title_original":10,"key_takeaways":10,"topic_cluster_id":10,"embedding":10,"is_canonical_seed":24},"dcc21caf-c9c5-480a-bec8-259e2f1e2ee5","Kimi K2.5 2026 價格與 API 費用","\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.moonshot.ai\" target=\"_blank\" rel=\"noopener\">Moonshot AI\u003C\u002Fa> 在 2026 年 1 月 27 日推出 \u003Ca href=\"https:\u002F\u002Fwww.kimi.com\" target=\"_blank\" rel=\"noopener\">Kimi\u003C\u002Fa> K2.5。價格一出來，很多人直接停手算帳。免費聊天、部分市場約 US$19\u002F月、API input token 約 US$0.60\u002FM。這種數字，很難不看一眼。\u003C\u002Fp>\u003Cp>更麻煩的是，它不是只有便宜。\u003Ca href=\"\u002Fnews\u002Fkimi-k25-brings-vision-code-and-swarm-agents-zh\">Kimi\u003C\u002Fa> K2.5 還有 256K context window。再加上多模態輸入，和可相容 \u003Ca href=\"\u002Fnews\u002Fopera-neon-adds-mcp-support-for-ai-clients-zh\">Ope\u003C\u002Fa>nAI 的 API 介面，對已經用 \u003Ca href=\"https:\u002F\u002Fplatform.moonshot.ai\" target=\"_blank\" rel=\"noopener\">Moonshot Platform\u003C\u002Fa> 或 OpenAI SDK 的團隊來說，切換成本不算高。\u003C\u002Fp>\u003Cp>所以問題就很直白。你是要省錢。還是要省事。很多 AI 產品只能選一邊，Kimi K2.5 這次是想兩邊都拿。\u003C\u002Fp>\u003Ch2>Kimi K2.5 到底怎麼收費\u003C\u002Fh2>\u003Cp>Kimi K2.5 的收費分成兩條路。第一條是一般使用者的聊天產品。第二條是給開發者的 API。這兩條路看起來像同一個產品，實際上玩法差很多。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775156997895-8q30.png\" alt=\"Kimi K2.5 2026 價格與 API 費用\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>聊天端有免費方案。你可以直接用 Kimi K2.5，還能碰到多模態、網頁搜尋、檔案上傳。官方與整理資料都提到，每日訊息數大約落在 30 到 50 則。對一般測試來說，已經夠用。\u003C\u002Fp>\u003Cp>付費聊天方案則看市場。國際市場常見價格約 US$19\u002F月。中國市場則常見 49 CNY\u002F月左右。這個價位比很多人熟悉的 US$20\u002F月基準低一點，但差距不算誇張。\u003C\u002Fp>\u003Cp>真正有感的是 API。Kimi K2.5 的 input token 約 US$0.60\u002FM，output token 約 US$2.50 到 US$3.00\u002FM。對大量呼叫模型的團隊來說，這不是小差異。這是月底帳單會不會爆掉的差異。\u003C\u002Fp>\u003Cul>\u003Cli>免費聊天：US$0\u003C\u002Fli>\u003Cli>每日限制：約 30 到 50 則訊息\u003C\u002Fli>\u003Cli>付費聊天：國際約 US$19\u002F月\u003C\u002Fli>\u003Cli>API input：US$0.60\u002FM token\u003C\u002Fli>\u003Cli>API output：US$2.50 到 US$3.00\u002FM token\u003C\u002Fli>\u003Cli>Context window：256K tokens\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>免費方案為什麼值得先試\u003C\u002Fh2>\u003Cp>我覺得 Kimi K2.5 最討喜的地方，不是便宜，是敢給。很多 AI 服務的免費版像試吃盒。你剛打開，份量就沒了。Kimi 的免費聊天方案比較像真的能拿來測東西。\u003C\u002Fp>\u003Cp>256K context window 很重要。因為長上下文通常是付費牆最先縮水的地方。你可以把長文件、程式碼、研究筆記丟進去，先看模型會不會亂掉。這對工程師、研究生、產品經理都很實用。\u003C\u002Fp>\u003Cp>但免費不等於無限制。Kimi 的介面偏中文，尖峰時段也可能有限流。每日訊息數還有上限。講白了，這是試用，不是永久白嫖方案。\u003C\u002Fp>\u003Cblockquote>“The best way to have a good idea is to have lots of ideas.” — Linus Pauling\u003C\u002Fblockquote>\u003Cp>這句話很適合 Kimi 的免費方案。你可以先大量試。先看它能不能處理你的資料。先看它是不是比你現在用的工具更順。先試，再談買單。\u003C\u002Fp>\u003Cp>如果你是台灣團隊，我會建議先拿它做兩件事。第一，測長文件摘要。第二，測多輪對話。這兩個場景最容易把模型真實能力和行銷話術分開。\u003C\u002Fp>\u003Ch2>和 ChatGPT、Claude、Gemini 比起來怎樣\u003C\u002Fh2>\u003Cp>價格比較一放上來，Kimi K2.5 就很難忽略。它不是市場最便宜，但它的定價明顯壓過幾個主流西方模型。對看重成本的團隊，這種差距很有殺傷力。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775156995948-7etz.png\" alt=\"Kimi K2.5 2026 價格與 API 費用\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>聊天訂閱市場，常見基準還是 \u003Ca href=\"https:\u002F\u002Fchat.openai.com\" target=\"_blank\" rel=\"noopener\">ChatGPT\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fclaude.ai\" target=\"_blank\" rel=\"noopener\">Claude\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fgemini.google.com\" target=\"_blank\" rel=\"noopener\">Gemini\u003C\u002Fa> 的 US$20\u002F月左右方案。Kimi 在部分市場更便宜，而且免費方案的 context window 也更大。這點對重度使用者很有感。\u003C\u002Fp>\u003Cp>API 端差距更明顯。Kimi K2.5 的 token 單價，通常比 GPT-5.4、\u003Ca href=\"\u002Fnews\u002Fclaude-vs-chatgpt-copilot-gemini-enterprise-2026-zh\">Clau\u003C\u002Fa>de Sonnet 4.6 低很多。若你的產品每月吃掉幾百萬甚至幾千萬 token，帳單差距會直接反映在毛利上。\u003C\u002Fp>\u003Cul>\u003Cli>Kimi K2.5：input US$0.60\u002FM，output US$2.50\u002FM 起\u003C\u002Fli>\u003Cli>GPT-5.4：input 約 US$2.50 到 US$10.00\u002FM\u003C\u002Fli>\u003Cli>GPT-5.4：output 約 US$10.00 到 US$30.00\u002FM\u003C\u002Fli>\u003Cli>Claude Sonnet 4.6：input 約 US$3.00\u002FM\u003C\u002Fli>\u003Cli>Claude Sonnet 4.6：output 約 US$15.00\u002FM\u003C\u002Fli>\u003Cli>Gemini 3.1 Pro：input 約 US$1.25\u002FM，output 約 US$5.00\u002FM\u003C\u002Fli>\u003Cli>DeepSeek V4：input 約 US$0.27\u002FM，output 約 US$1.10\u002FM\u003C\u002Fli>\u003C\u002Ful>\u003Cp>如果看純 token 價格，\u003Ca href=\"https:\u002F\u002Fwww.deepseek.com\" target=\"_blank\" rel=\"noopener\">DeepSeek\u003C\u002Fa> 還能更低一點。可是 Kimi 的多模態、長上下文、以及 OpenAI 相容 API，讓它在實務上更好接。便宜只是第一步，能不能直接進你現有系統，才是重點。\u003C\u002Fp>\u003Ch2>API 隱藏成本在哪裡\u003C\u002Fh2>\u003Cp>Kimi K2.5 看起來便宜，但不要只看 token 單價。API 先要充值 US$1 才能啟用。這很常見，但對想小額試水溫的人來說，還是會多一點心理門檻。\u003C\u002Fp>\u003Cp>再來是 rate limit。Moonshot AI 把限制跟累積充值綁在一起。起始層級大約是 3 RPM。充值到 US$10 後，可升到 200 RPM。累積到 US$3,000，才有機會到 10,000 RPM。這代表你不是只在買模型。你也在買流量門檻。\u003C\u002Fp>\u003Cp>另外，生態成熟度也要算進去。\u003Ca href=\"https:\u002F\u002Fopenai.com\" target=\"_blank\" rel=\"noopener\">OpenAI\u003C\u002Fa> 和 Anthropic 的文件、企業工具、合作夥伴都更完整。Kimi 的技術面不差，但周邊體驗還在追趕。\u003C\u002Fp>\u003Cul>\u003Cli>API 啟用門檻：US$1 充值\u003C\u002Fli>\u003Cli>US$5 充值後可拿到 US$5 voucher bonus\u003C\u002Fli>\u003Cli>起始速率：約 3 RPM\u003C\u002Fli>\u003Cli>US$10 累積充值後：約 200 RPM\u003C\u002Fli>\u003Cli>US$3,000 累積充值後：最高約 10,000 RPM\u003C\u002Fli>\u003C\u002Ful>\u003Cp>還有一個很實際的點。Kimi 的 API 相容 OpenAI SDK。這代表你多半不用重寫整套程式。改 base URL、換 API key，通常就能上線測試。這對工程團隊很友善。\u003C\u002Fp>\u003Ch2>這個價格代表什麼產業訊號\u003C\u002Fh2>\u003Cp>Kimi K2.5 的定價，反映的是一件事。AI 模型市場已經不只是比誰更強。現在也在比誰能讓開發者真的用下去。當 token 成本下降，產品團隊就會開始重新算 ROI。\u003C\u002Fp>\u003Cp>這對台灣開發者也有影響。很多新創其實不缺想法，缺的是可控成本。你做客服機器人、知識庫搜尋、文件摘要、內部助理，模型帳單常常比伺服器還刺眼。Kimi 這種價位，會讓更多團隊願意做 A\u002FB test。\u003C\u002Fp>\u003Cp>但也別太快高潮。便宜模型通常會吸引大量流量。流量一多，限制、延遲、文件完整度、客服回應速度，都會被放大檢查。價格好看，不代表整體體驗就一定好看。\u003C\u002Fp>\u003Cp>我會把 Kimi K2.5 看成一個很務實的選項。它不是要你換掉全部工具。它是提醒你，很多工作不需要最貴的模型。只需要一個夠穩、夠長上下文、價格合理的模型。\u003C\u002Fp>\u003Ch2>接下來怎麼選\u003C\u002Fh2>\u003Cp>如果你是個人使用者，先用免費版。測你的文件、筆記、PDF、圖片。看它是不是比你現在的工具更順手。不要只看規格表，要看你每天真的會不會打開它。\u003C\u002Fp>\u003Cp>如果你是開發者，直接拿一個真實工作負載來算。算你每月 input token。算 output token。再把 Kimi K2.5、\u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\" target=\"_blank\" rel=\"noopener\">Anthropic\u003C\u002Fa>、OpenAI、Gemini 的價格一起放進試算表。你會很快看出差距。\u003C\u002Fp>\u003Cp>我的判斷很簡單。若你的產品吃大量長文本，Kimi K2.5 值得先試。若你要的是最成熟的英文生態，先留在原本的供應商也合理。真正該問的不是哪個最紅。是你的帳單能不能撐得住。\u003C\u002Fp>\u003Cp>如果你想做更完整的比較，下一步就把自己的 token 數字拉出來。別猜。直接算。這種事，數字最誠實。\u003C\u002Fp>","Kimi K2.5 2026 年 1 月 27 日上線，提供免費聊天、約 US$0.60\u002FM input token 的 API，還有 256K context window。這篇整理方案、費用、競品比較與實際使用成本。","www.nxcode.io","https:\u002F\u002Fwww.nxcode.io\u002Fresources\u002Fnews\u002Fkimi-k2-5-pricing-plans-api-costs-2026",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775156997895-8q30.png",[13,14,15,16,17,18,19,20,21],"Kimi K2.5","Moonshot AI","API 價格","token 費用","AI 模型定價","256K context window","ChatGPT 比較","Claude 比較","Gemini 比較","zh",1,false,"2026-04-02T19:09:35.692113+00:00","2026-04-02T19:09:35.624+00:00","done","a14d53ad-2d3d-4383-a960-a1eab95d76b3","kimi-k2-5-pricing-2026-plans-api-costs-zh","model-release","6f198afe-2a67-455d-ab12-0a816e35c3ec","published","2026-04-08T09:00:49.597+00:00",[35,37,39,41,43,45,47,49],{"name":18,"slug":36},"256k-context-window",{"name":20,"slug":38},"claude-比較",{"name":17,"slug":40},"ai-模型定價",{"name":21,"slug":42},"gemini-比較",{"name":14,"slug":44},"moonshot-ai",{"name":15,"slug":46},"api-價格",{"name":16,"slug":48},"token-費用",{"name":19,"slug":50},"chatgpt-比較",{"id":31,"slug":52,"title":53,"language":54},"kimi-k2-5-pricing-2026-plans-api-costs-en","Kimi K2.5 Pricing in 2026: Plans and API Costs","en",[56,62,68,74,80,86],{"id":57,"slug":58,"title":59,"cover_image":60,"image_url":60,"created_at":61,"category":30},"bd8cfc0e-66db-4546-9b9e-fa328f7538d6","weishenme-google-yincang-de-gemini-live-moxing-bi-yanshi-gen-zh","為什麼 Google 隱藏的 Gemini Live 模型，比演示更重要","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778869245574-c25w.png","2026-05-15T18:20:23.111559+00:00",{"id":63,"slug":64,"title":65,"cover_image":66,"image_url":66,"created_at":67,"category":30},"5b5fa24f-5259-4e9e-8270-b08b6805f281","minimax-m1-open-hybrid-attention-reasoning-model-zh","MiniMax-M1：開源 1M Token 推理模型","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778797859209-ea1g.png","2026-05-14T22:30:38.636592+00:00",{"id":69,"slug":70,"title":71,"cover_image":72,"image_url":72,"created_at":73,"category":30},"b1da56ac-8019-4c6b-a8dc-22e6e22b1cb5","gemini-omni-video-review-text-rendering-zh","Gemini Omni 影片模型怎麼了","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778779280109-lrrk.png","2026-05-14T17:20:42.608312+00:00",{"id":75,"slug":76,"title":77,"cover_image":78,"image_url":78,"created_at":79,"category":30},"d63e9d93-e613-4bbf-8135-9599fde11d08","why-xiaomi-mimo-v25-pro-changes-coding-agents-zh","為什麼 Xiaomi 的 MiMo-V2.5-Pro 改變的是 Coding …","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778689858139-v38e.png","2026-05-13T16:30:27.893951+00:00",{"id":81,"slug":82,"title":83,"cover_image":84,"image_url":84,"created_at":85,"category":30},"8f0c9185-52f9-46f2-82c6-5baec126ba2e","openai-realtime-audio-models-live-voice-zh","OpenAI 即時音訊模型瞄準語音互動","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778451657895-2iu7.png","2026-05-10T22:20:32.443798+00:00",{"id":87,"slug":88,"title":89,"cover_image":90,"image_url":90,"created_at":91,"category":30},"52106dc2-4eba-4ca0-8318-fa646064de97","anthropic-10-finance-ai-agents-zh","Anthropic推10款金融AI Agent","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778389843399-vclb.png","2026-05-10T05:10:22.778762+00:00",[93,98,103,108,113,118,123,128,133,138],{"id":94,"slug":95,"title":96,"created_at":97},"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":99,"slug":100,"title":101,"created_at":102},"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":104,"slug":105,"title":106,"created_at":107},"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":109,"slug":110,"title":111,"created_at":112},"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":114,"slug":115,"title":116,"created_at":117},"cda76b92-d209-4134-86c1-a60f5bc7b128","xiaomi-mimo-trio-agents-robots-voice-zh","小米 MiMo 三模型瞄準代理、機器人與語音","2026-03-28T03:05:08.779489+00:00",{"id":119,"slug":120,"title":121,"created_at":122},"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":124,"slug":125,"title":126,"created_at":127},"d68e59a2-55eb-4a8f-95d6-edc8fcbff581","cursor-composer-2-started-from-kimi-zh","Cursor Composer 2 其實從 Kimi 起步","2026-03-28T03:11:58.893796+00:00",{"id":129,"slug":130,"title":131,"created_at":132},"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":134,"slug":135,"title":136,"created_at":137},"45812c46-99fc-4b1f-aae1-56f64f5c9024","openai-shuts-down-sora-video-app-api-zh","OpenAI 關閉 Sora App 與 API","2026-03-29T04:47:48.974108+00:00",{"id":139,"slug":140,"title":141,"created_at":142},"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"]