[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-free-llm-api-platforms-2026-complete-guide-zh":3,"article-related-free-llm-api-platforms-2026-complete-guide-zh":24,"series-tools-15f45aa9-9941-40c9-a6fe-211b51af0b99":73},{"id":4,"slug":5,"title":6,"content":7,"summary":8,"source":9,"source_url":10,"author":10,"image_url":11,"cover_image":11,"category":12,"language":13,"translated_content":10,"related_article_id":14,"keywords":15,"key_takeaways":10,"views":21,"created_at":22,"published_at":23,"topic_cluster_id":10},"15f45aa9-9941-40c9-a6fe-211b51af0b99","free-llm-api-platforms-2026-complete-guide-zh","2026 免費 LLM API 推薦：30+平台比較","\u003Cp>2026 年的大語言模型生態已經成熟到一個有趣的階段：免費額度變成了基本標配，而不是稀罕功能。無論你是學生、開發者還是創業團隊，都能找到至少一個支持你實驗想法的免費平台。但正因為選擇太多，如何挑選反而成了新問題。\u003C\u002Fp>\u003Ch2>國內平台：多模型競爭，差異化策略明顯\u003C\u002Fh2>\u003Cp>\u003Ca href=\"https:\u002F\u002Fopen.bigmodel.cn\" target=\"_blank\" rel=\"noopener\">智谱 AI\u003C\u002Fa> 的 GLM-4-Flash 永久免費政策打破了業界慣例。新使用者一次性獲得 2000 萬 Token，足以執行數千次高品質推理。更重要的是，它承諾「永久免費」——在國內大模型廠商中相當罕見。該服務支援 30 個並發請求，對於 POC（概念驗證）階段的應用已經夠用。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1774848502484-eexg.png\" alt=\"2026 年免費大模型 API 完整地圖：超過 30 個平台對比與實戰指南\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fplatform.moonshot.cn\" target=\"_blank\" rel=\"noopener\">月之暗面 Kimi\u003C\u002Fa> 走的是「超長上下文」路線。256K Token 的窗口對於處理長文檔、技術文件或完整程式碼庫有決定性優勢。雖然限流是每分鐘 3 次請求，但 Token 額度不限，適合需要一次性處理大量資訊的場景，比如程式碼審查或文檔總結。\u003C\u002Fp>\u003Cp>\u003Ca href=\"https:\u002F\u002Fapi.siliconflow.cn\" target=\"_blank\" rel=\"noopener\">硅基流动\u003C\u002Fa>主打開源模型的多樣性。DeepSeek、Qwen 系列的 API 都能透過統一介面存取，速率限制為 1000 RPM per 模型，可以承載中等規模流量。如果你想測試各家開源模型而不想逐一註冊，硅基流动是捷徑。\u003C\u002Fp>\u003Cp>字節豆包、阿里通義千問、百度文心、騰訊混元、訊飛星火等平台各有側重，但免費額度通常需要主動申請或參與活動才能獲得。這些廠商傾向於用免費層吸引長期使用者，而非無條件開放。\u003C\u002Fp>\u003Ch2>國際平台：生態成熟，額度最大\u003C\u002Fh2>\u003Cp>\u003Ca href=\"https:\u002F\u002Fai.google.dev\" target=\"_blank\" rel=\"noopener\">Google AI Studio\u003C\u002Fa> 提供了可能是現階段最慷慨的免費配額。Gemini 2.5 Flash 每分鐘 30 個請求，每天 1440 個請求，額度高到足以支撐小型應用的日常運作。Google 的算力基礎設施意味著穩定性有保障，而 Gemini 的多模態能力（圖文音頻）在同級免費服務中獨樹一幟。\u003C\u002Fp>\u003Cp>\u003Ca href=\"https:\u002F\u002Fmodels.github.ai\" target=\"_blank\" rel=\"noopener\">GitHub Models\u003C\u002Fa> 的創新之處在於門檻最低——只需 GitHub 帳戶即可使用。GPT-4o、4-turbo 等高級模型都開放試用，限額是每分鐘 15 個、每天 150 個請求。對於 GitHub 使用者來說，這可能是最快上手的選擇。\u003C\u002Fp>\u003Cp>\u003Ca href=\"https:\u002F\u002Fgroq.com\" target=\"_blank\" rel=\"noopener\">Groq\u003C\u002Fa> 代表了推理速度的極致。其 LPU（Language Processing Unit）硬體加速讓生成速度快 5-10 倍，免費版提供每天 1000 次請求。如果你的應用對延遲敏感（比如實時聊天應用），Groq 的性能優勢值得測試。\u003C\u002Fp>\u003Cp>\u003Ca href=\"https:\u002F\u002Fdevelopers.cloudflare.com\u002Fworkers-ai\u002F\" target=\"_blank\" rel=\"noopener\">Cloudflare Workers AI\u003C\u002Fa> 運用全球 CDN 基礎設施，每天 10000 Neurons 的免費額度可以透過邊緣計算節點就近執行推理。延遲低、成本低，特別適合全球分布式應用。\u003Ca href=\"https:\u002F\u002Fopenrouter.ai\" target=\"_blank\" rel=\"noopener\">OpenRouter\u003C\u002Fa> 聚合了多家廠商的 API，國內可直連，無需代理，模型選擇最豐富。\u003C\u002Fp>\u003Ch2>第三方代理與風險考量\u003C\u002Fh2>\u003Cp>ChatAnywhere、GemAI、API520 等代理平台以「統一介面」和「規避地理限制」為賣點。雖然方便，但代理層增加了安全風險，而且免費政策往往不穩定。一旦廠商修改政策，代理服務可能突然失效。生產環境應該避免依賴這類服務。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1774848525451-pvo1.png\" alt=\"2026 年免費大模型 API 完整地圖：超過 30 個平台對比與實戰指南\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Ch2>實戰選擇指南\u003C\u002Fh2>\u003Cp>選擇哪個平台取決於三個維度：使用場景、預算容量和地理位置。學習和測試優先 Google AI Studio 或 GitHub Models，額度大且穩定。國內開發推薦 OpenRouter（可直連、模型多）或硅基流动（開源模型友好）。如果需要超長上下文，Kimi 的 256K 窗口無人能及。高速推理就選 Groq，多模態應用就用 Gemini。\u003C\u002Fp>\u003Cp>重要提醒：速率限制要做好降級處理，準備備用方案。免費政策隨時可能變動，定期檢查官方文檔。最後，即使有免費額度，生產環境仍應採用付費 API 保證穩定性。多平台組合能有效分散風險。\u003C\u002Fp>","免費 LLM API 的競爭已進入激烈階段。從國內的智谱、月之暗面到國際的 Google AI Studio、GitHub Models，以及專注推理速度的 Groq，開發者現在有超過 30 個選擇。本文詳細比較各平台的額度、速率限制、模型陣容和適用場景，幫助你選出最適合當前專案的方案。","OraCore",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1774848502484-eexg.png","tools","zh","071f1624-a2d9-4fbd-9e7f-a9d60da7f5f7",[16,17,18,19,20],"free LLM API","AI model","GPT","Gemini","Groq",35,"2026-03-30T05:24:01.048449+00:00","2026-03-30T05:28:45.728+00:00",{"tags":25,"relatedLang":32,"relatedPosts":36},[26,28,30],{"name":18,"slug":27},"gpt",{"name":17,"slug":29},"ai-model",{"name":19,"slug":31},"gemini",{"id":14,"slug":33,"title":34,"language":35},"free-llm-api-platforms-2026-complete-guide-en","The Best Free LLM APIs of 2026: 30+ Platforms Tested","en",[37,43,49,55,61,67],{"id":38,"slug":39,"title":40,"cover_image":41,"image_url":41,"created_at":42,"category":12},"6d635736-4581-484c-aa7f-9c221b54215b","pixelrag-screenshots-retrievable-context-zh","PixelRAG 把截圖變可檢索上下文","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782759807854-613a.png","2026-06-29T19:02:59.448799+00:00",{"id":44,"slug":45,"title":46,"cover_image":47,"image_url":47,"created_at":48,"category":12},"cdfe98b4-cfc9-4266-ba45-4b892e8214b0","codex-deepseek-v4-pro-moark-setup-zh","Codex 接入 DeepSeek-V4-Pro，三步可用","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782738175563-wcfd.png","2026-06-29T13:02:24.814293+00:00",{"id":50,"slug":51,"title":52,"cover_image":53,"image_url":53,"created_at":54,"category":12},"37ef32c4-b40c-4d2e-822a-d41678837de1","devin-ai-alternatives-real-workflows-zh","Devin 替代工具先看工作流","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782732810886-up7s.png","2026-06-29T11:32:58.321746+00:00",{"id":56,"slug":57,"title":58,"cover_image":59,"image_url":59,"created_at":60,"category":12},"d98bcfa9-686a-4465-8371-ba06d04b9799","claude-code-turns-agent-setup-into-terminal-work-zh","Claude Code 讓代理設定變終端工作","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782731910840-j284.png","2026-06-29T11:18:01.715271+00:00",{"id":62,"slug":63,"title":64,"cover_image":65,"image_url":65,"created_at":66,"category":12},"054589c7-78d8-4835-a5e4-4413a6146970","best-ai-coding-agent-2026-ranked-benchmarks-zh","2026 最佳 AI 寫碼代理排名","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782730985842-v7mt.png","2026-06-29T11:02:38.646028+00:00",{"id":68,"slug":69,"title":70,"cover_image":71,"image_url":71,"created_at":72,"category":12},"f1ea1e37-c8c4-4b45-828a-b120c781bd6f","openclaw-bailian-qwen37-max-config-template-zh","OpenClaw 接百炼 Qwen3.7-Max 模板","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782715688788-y9u4.png","2026-06-29T06:47:44.371703+00:00",[74,79,84,89,94,99,104,109,114,119],{"id":75,"slug":76,"title":77,"created_at":78},"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":80,"slug":81,"title":82,"created_at":83},"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 工具層","2026-03-26T08:01:46.589694+00:00",{"id":85,"slug":86,"title":87,"created_at":88},"af9c46c3-7a28-410b-9f04-32b3de30a68c","prompting-in-2026-what-actually-works-zh","2026 提示工程，真正有用的是什麼","2026-03-26T08:08:12.453028+00:00",{"id":90,"slug":91,"title":92,"created_at":93},"05553086-6ed0-4758-81fd-6cab24b575e0","garry-tan-open-sources-claude-code-toolkit-zh","Garry Tan 開源 Claude Code 工具包","2026-03-26T08:26:20.068737+00:00",{"id":95,"slug":96,"title":97,"created_at":98},"042a73a2-18a2-433d-9e8f-9802b9559aac","github-ai-projects-to-watch-in-2026-zh","2026 必看 20 個 GitHub AI 專案","2026-03-26T08:28:09.619964+00:00",{"id":100,"slug":101,"title":102,"created_at":103},"a5f94120-ac0d-4483-9a8b-63590071ac6a","claude-code-vs-cursor-2026-zh","Claude Code 與 Cursor 深度對比：202…","2026-03-26T13:27:14.279193+00:00",{"id":105,"slug":106,"title":107,"created_at":108},"0975afa1-e0c7-4130-a20d-d890eaed995e","practical-github-guide-learning-ml-2026-zh","2026 機器學習入門 GitHub 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