[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-claude-api-model-guide-new-top-tier-zh":3,"article-related-claude-api-model-guide-new-top-tier-zh":40,"series-model-release-eee9cee3-8c3d-48a7-b647-98cf19955e54":93},{"id":4,"title":5,"content":6,"summary":7,"source":8,"source_url":9,"author":10,"image_url":11,"keywords":12,"language":23,"translated_content":10,"views":24,"is_premium":25,"created_at":26,"updated_at":26,"cover_image":11,"published_at":27,"rewrite_status":28,"rewrite_error":10,"rewritten_from_id":29,"slug":30,"category":31,"related_article_id":32,"status":33,"google_indexed_at":10,"x_posted_at":10,"tweet_text":10,"title_rewritten_at":10,"title_original":10,"key_takeaways":34,"topic_cluster_id":38,"embedding":39,"is_canonical_seed":25},"eee9cee3-8c3d-48a7-b647-98cf19955e54","Claude API 模型指南升級","\u003Cp data-speakable=\"summary\">\u003Ca href=\"\u002Fnews\u002Fanthropic-pwc-deal-enterprise-ai-adoption-zh\">Anth\u003C\u002Fa>ropic 的 \u003Ca href=\"\u002Ftag\u002Fclaude\">Claude\u003C\u002Fa> 文件把 \u003Ca href=\"\u002Ftag\u002Fopus-47\">Opus 4.7\u003C\u002Fa> 放到最上層，並把模型 ID、價格、上下文與雲端端點一次講清楚。\u003C\u002Fp>\u003Cp>說真的，這頁很像文件版的選購指南。\u003Ca href=\"https:\u002F\u002Fplatform.claude.com\u002Fdocs\u002Fen\u002Fabout-claude\u002Fmodels\u002Foverview\" target=\"_blank\" rel=\"noopener\">Claude models overview\u003C\u002Fa> 直接把 \u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\u002Fclaude\" target=\"_blank\" rel=\"noopener\">Claude Opus 4.7\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\u002Fclaude\" target=\"_blank\" rel=\"noopener\">Claude Sonnet 4.6\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\u002Fclaude\" target=\"_blank\" rel=\"noopener\">Claude Haiku 4.5\u003C\u002Fa> 排好。你不用再翻半天文件猜哪個適合。\u003C\u002Fp>\u003Cp>更實際的是，\u003Ca href=\"\u002Ftag\u002Fanthropic\">Anthropic\u003C\u002Fa> 把 \u003Ca href=\"https:\u002F\u002Faws.amazon.com\u002Fbedrock\u002Fclaude\u002F\" target=\"_blank\" rel=\"noopener\">Amazon Bedrock\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fcloud.google.com\u002Fvertex-ai\" target=\"_blank\" rel=\"noopener\">Vertex AI\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fwww.microsoft.com\u002Fen-us\u002Fai-foundry\" target=\"_blank\" rel=\"noopener\">Microsoft Foundry\u003C\u002Fa> 的差異也寫進去。對開發者來說，這種資訊比廣告詞有用多了。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Model\u003C\u002Fth>\u003Cth>API ID\u003C\u002Fth>\u003Cth>Input price\u003C\u002Fth>\u003Cth>Output price\u003C\u002Fth>\u003Cth>Context window\u003C\u002Fth>\u003Cth>Max output\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>Claude Opus 4.7\u003C\u002Ftd>\u003Ctd>claude-opus-4-7\u003C\u002Ftd>\u003Ctd>$5 \u002F MTok\u003C\u002Ftd>\u003Ctd>$25 \u002F MTok\u003C\u002Ftd>\u003Ctd>1M tokens\u003C\u002Ftd>\u003Ctd>128k tokens\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Claude Sonnet 4.6\u003C\u002Ftd>\u003Ctd>claude-sonnet-4-6\u003C\u002Ftd>\u003Ctd>$3 \u002F MTok\u003C\u002Ftd>\u003Ctd>$15 \u002F MTok\u003C\u002Ftd>\u003Ctd>1M tokens\u003C\u002Ftd>\u003Ctd>64k tokens\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Claude Haiku 4.5\u003C\u002Ftd>\u003Ctd>claude-haiku-4-5-20251001\u003C\u002Ftd>\u003Ctd>$1 \u002F MTok\u003C\u002Ftd>\u003Ctd>$5 \u002F MTok\u003C\u002Ftd>\u003Ctd>200k tokens\u003C\u002Ftd>\u003Ctd>64k tokens\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>Opus 4.7 被放在最前面，不是偶然\u003C\u002Fh2>\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\u002Fclaude\" target=\"_blank\" rel=\"noopener\">Claude Opus 4.7\u003C\u002Fa> 是 Anthropic 目前主推的高階模型。文件直接把它寫成最適合複雜推理和 \u003Ca href=\"\u002Ftag\u002Fagentic-coding\">agentic coding\u003C\u002Fa> 的選項。這種寫法很直白，也很少見。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779023645425-mkdf.png\" alt=\"Claude API 模型指南升級\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>Anthropic 還提到，Opus 4.7 相比 Opus 4.6 在 agentic coding 有「step-change improvement」。講白了，就是它想讓你知道，這次升級不是小修小補。對寫程式、跑工具鏈、做長流程任務的人，這句話很有份量。\u003C\u002Fp>\u003Cp>更重要的是，Anthropic 已經把選模邏輯講得很清楚。你要長上下文，就看 1M \u003Ca href=\"\u002Ftag\u002Ftoken\">token\u003C\u002Fa>。你要更強推理，就看 Opus。你要速度和成本平衡，就看 Son\u003Ca href=\"\u002Fnews\u002Fwhy-hpe-greenlake-kubernetes-push-right-move-zh\">net\u003C\u002Fa>。你要低延遲，就看 Haiku。\u003C\u002Fp>\u003Cul>\u003Cli>Opus 4.7：1M token 上下文，128k 輸出，$5 \u002F MTok 輸入，$25 \u002F MTok 輸出\u003C\u002Fli>\u003Cli>Sonnet 4.6：1M token 上下文，64k 輸出，$3 \u002F MTok 輸入，$15 \u002F MTok 輸出\u003C\u002Fli>\u003Cli>Haiku 4.5：200k token 上下文，64k 輸出，$1 \u002F MTok 輸入，$5 \u002F MTok 輸出\u003C\u002Fli>\u003Cli>Opus 和 Sonnet 都支援 1M token，長文件差距沒以前那麼大\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>模型 ID 變得更硬，對 production 是好事\u003C\u002Fh2>\u003Cp>Anthropic 這次把 m\u003Ca href=\"\u002Fnews\u002Fwhy-openai-is-right-to-put-codex-on-phones-zh\">ode\u003C\u002Fa>l ID 的規則講得更細。文件說，每個 Claude model ID 都是 pinned snapshot。只要 ID 裡有日期，它就是固定版本。從 4.6 世代開始，連沒有日期的 ID 也不是永遠指向最新，而是固定快照。\u003C\u002Fp>\u003Cp>這對 production 很重要。你不會希望今天測過的模型，明天偷偷換行為。特別是客服機器人、法務摘要、程式碼生成這種場景，版本漂移常常比模型貴。\u003C\u002Fp>\u003Cp>Anthropic 也把跨平台 ID 規則講清楚。\u003Ca href=\"https:\u002F\u002Faws.amazon.com\u002Fbedrock\u002F\" target=\"_blank\" rel=\"noopener\">AWS Bedrock\u003C\u002Fa> 會用自己的命名法。\u003Ca href=\"https:\u002F\u002Fcloud.google.com\u002Fvertex-ai\" target=\"_blank\" rel=\"noopener\">Vertex AI\u003C\u002Fa> 也有自己的 endpoint 規則。只有 Claude Platform on AWS 會盡量維持和第一方 API 一樣的 model ID。\u003C\u002Fp>\u003Cblockquote>“The best way to use a foundation model is to pick the smallest one that can do the job.” — Dario Amodei, Anthropic CEO\u003C\u002Fblockquote>\u003Cp>這句話放在這篇文件旁邊很合理。Anthropic 沒有叫你全都上最大模型。它是在逼你做選擇。對工程團隊來說，這反而比較健康，因為每個功能都能對應不同模型，而不是全部綁死在同一顆。\u003C\u002Fp>\u003Ch2>雲端端點才是很多團隊真正卡關的地方\u003C\u002Fh2>\u003Cp>很多人只看模型名稱，卻忽略部署地點。Anthropic 這次把 Claude 放在多個雲端平台上，包含 \u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\u002Fclaude\" target=\"_blank\" rel=\"noopener\">Claude API\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Faws.amazon.com\u002Fbedrock\u002Fclaude\u002F\" target=\"_blank\" rel=\"noopener\">Amazon Bedrock\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fcloud.google.com\u002Fvertex-ai\" target=\"_blank\" rel=\"noopener\">Vertex AI\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fwww.microsoft.com\u002Fen-us\u002Fai-foundry\" target=\"_blank\" rel=\"noopener\">Microsoft Foundry\u003C\u002Fa>。這不是純技術問題，還牽涉採購、法規、區域限制。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779023638987-pil4.png\" alt=\"Claude API 模型指南升級\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>文件也補了 endpoint 的差異。從 Sonnet 4.5 開始，Bedrock 有 global endpoints 和 regional endpoints。Vertex AI 還多了 multi-region endpoints。這些選項聽起來很枯燥，但對金融、醫療、政府案子來說，這就是能不能上線的差別。\u003C\u002Fp>\u003Cp>還有一個很實用的細節。文件說 Max output 是針對同步 Messages API。某些模型在 Message Batches API 下，搭配 beta header，還能拉更高。這種資訊很像藏在角落的備註，但真的會影響架構設計。\u003C\u002Fp>\u003Cul>\u003Cli>Claude Platform on AWS 直接沿用第一方 Claude API IDs\u003C\u002Fli>\u003Cli>Bedrock 提供 global 與 regional endpoints\u003C\u002Fli>\u003Cli>Vertex AI 提供 global、multi-region、regional endpoints\u003C\u002Fli>\u003Cli>Models API 會回傳 max_input_tokens、max_tokens、capabilities\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>和其他模型比，Anthropic 的路線更像工程文件\u003C\u002Fh2>\u003Cp>如果拿 Claude 跟 \u003Ca href=\"https:\u002F\u002Fopenai.com\" target=\"_blank\" rel=\"noopener\">OpenAI\u003C\u002Fa> 或 \u003Ca href=\"https:\u002F\u002Fai.google\u002F\" target=\"_blank\" rel=\"noopener\">Google\u003C\u002Fa> 比，Anthropic 的文件風格真的比較偏工程師。它不是一直講願景，而是把 token、價格、alias、版本、端點全部列出來。\u003C\u002Fp>\u003Cp>這種寫法有個好處。你可以直接做成本試算。假設一個產品每月吃 20M input token 和 5M output token，Opus 4.7 的成本大概是 $125 + $125 = $250。Sonnet 4.6 會是 $60 + $75 = $135。Haiku 4.5 則是 $20 + $25 = $45。差距很直接。\u003C\u002Fp>\u003Cp>所以問題不是「哪個最好」。問題是「哪個夠用」。很多團隊會想先上最強模型，但真的上線後，錢和延遲會教你做人。Anthropic 這次把選擇邊界畫得很清楚，算是幫你少踩幾個坑。\u003C\u002Fp>\u003Cul>\u003Cli>Opus 4.7 適合複雜推理、長流程 agent、程式碼生成\u003C\u002Fli>\u003Cli>Sonnet 4.6 適合一般產品功能與成本控制\u003C\u002Fli>\u003Cli>Haiku 4.5 適合高併發、低延遲任務\u003C\u002Fli>\u003Cli>價格差距很大，輸出成本最容易拉開總帳單\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>這份文件透露的，其實是 Anthropic 的產品策略\u003C\u002Fh2>\u003Cp>我覺得這次更新不只是文件整理。Anthropic 正在把 Claude 做成一套分層產品，而不是一顆萬用模型。這種策略很像雲端服務的產品線，先分清楚高階、中階、輕量，再讓開發者自己配。\u003C\u002Fp>\u003Cp>這也代表 API 使用方式會更成熟。你不再只看 benchmark 分數。你還要看 context window、max output、alias、cloud endpoint、版本鎖定。對做 AI 產品的人來說，這些細節比模型宣傳影片重要太多。\u003C\u002Fp>\u003Cp>如果你現在已經在用 Claude，下一步很簡單。先看你的工作負載。再看你到底是卡推理、卡成本，還是卡延遲。很多時候，Sonnet 就夠了。真的需要重推理和長輸出，再切到 Opus。\u003C\u002Fp>\u003Ch2>結論：先別迷信最大模型，先算帳\u003C\u002Fh2>\u003Cp>這次 Claude 文件更新，最有價值的地方不是 Opus 4.7 三個字，而是 Anthropic 把規則講清楚了。對開發者來說，這能少掉很多猜測，也能少掉很多錯配。\u003C\u002Fp>\u003Cp>我的建議很直接。先把你的 API 成本、token 用量、輸出長度列出來。再決定要不要升到 Opus 4.7。很多團隊最後會發現，真正適合的不是最貴那顆，而是最剛好的那顆。\u003C\u002Fp>","Anthropic 把 Claude 文件重心放到 Opus 4.7，整理 1M token 上下文、128k 輸出上限、定價與跨雲模型 ID。","platform.claude.com","https:\u002F\u002Fplatform.claude.com\u002Fdocs\u002Fen\u002Fabout-claude\u002Fmodels\u002Foverview",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779023645425-mkdf.png",[13,14,15,16,17,18,19,20,21,22],"Claude","Anthropic","Claude API","Opus 4.7","Sonnet 4.6","Haiku 4.5","Model ID","Bedrock","Vertex AI","AI 模型選擇","zh",0,false,"2026-05-17T13:13:36.325561+00:00","2026-05-17T13:13:36.278+00:00","done","c2dda3cd-cfac-43eb-8805-e8cb78593764","claude-api-model-guide-new-top-tier-zh","model-release","7314af2f-8c90-47cf-98a7-4ee0407c61d5","published",[35,36,37],"Anthropic 把 Opus 4.7 放到文件最上層，主打複雜推理與 agentic coding。","1M token 上下文已成為 Opus 與 Sonnet 的共同門檻，差別更集中在輸出上限與價格。","模型 ID、alias、雲端端點與版本鎖定規則更清楚，對 production 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