[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-try-claude-opus-4-7-benchmarks-safety-zh":3,"article-related-try-claude-opus-4-7-benchmarks-safety-zh":29,"series-model-release-fb1f9ca1-8802-4901-935b-1a1d5ae41f59":72},{"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":22,"views":26,"created_at":27,"published_at":28,"topic_cluster_id":11},"fb1f9ca1-8802-4901-935b-1a1d5ae41f59","try-claude-opus-4-7-benchmarks-safety-zh","Claude Opus 4.7 基準與安全檢查清單","\u003Cp data-speakable=\"summary\">\u003Ca href=\"\u002Ftag\u002Fclaude\">Claude\u003C\u002Fa> \u003Ca href=\"\u002Ftag\u002Fopus-47\">Opus 4.7\u003C\u002Fa> 已上線，這篇教你驗證存取、跑基準、量化 token 成本，並判斷是否適合上線。\u003C\u002Fp>\u003Cp>這篇給要評估 \u003Ca href=\"\u002Ftag\u002Fanthropic\">Anthropic\u003C\u002Fa> 最新旗艦模型的開發者、技術主管與平台工程師看。照著做完，你會拿到一個可用的 Claude Opus 4.7 連線、可重複的對照\u003Ca href=\"\u002Fnews\u002Fkimi-k3-report-test-time-scaling-4-directions-zh\">測試\u003C\u002Fa>腳本，以及一份可直接拿去討論的成本與安全產出。\u003C\u002Fp>\u003Ch2>開始之前\u003C\u002Fh2>\u003Cul>\u003Cli>Anthropic 帳號，且已開通 API 存取\u003C\u002Fli>\u003Cli>有效的 Claude API key\u003C\u002Fli>\u003Cli>Node 20+\u003C\u002Fli>\u003Cli>Python 3.10+\u003C\u002Fli>\u003Cli>可用的 Claude AI Web 介面，或支援的合作平台如 Microsoft Foundry\u003C\u002Fli>\u003Cli>熟悉 JSON、prompt 設計與基本 token 計算\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>Step 1: 確認 Opus 4.7 存取\u003C\u002Fh2>\u003Cp>目的：先確認你能透過 Web、API 或合作平台其中一條路徑碰到 Claude Opus 4.7，避免後面把錯誤歸因\u003Ca href=\"\u002Fnews\u002Fnvidia-bets-big-on-ssi-ai-safety-core-zh\">到模型\u003C\u002Fa>本身。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1785720758596-foj1.png\" alt=\"Claude Opus 4.7 基準與安全檢查清單\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>先登入 Claude AI，檢查 API dashboard 是否已有有效金鑰。若你走 API 路線，請在官方文件與 migration guide 核對模型名稱，並確認專案設定指向 Opus 4.7。\u003C\u002Fp>\u003Cp>驗收：你應該看到模型出現在介面中，或在列出模型、呼叫模型時收到成功回應。\u003C\u002Fp>\u003Ch2>Step 2: 安裝 Anthropic SDK\u003C\u002Fh2>\u003Cp>目的：建立一個最小可用的本機 client，讓你能從終端機或後端送出第一個請求。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1785720763940-9g8f.png\" alt=\"Claude Opus 4.7 基準與安全檢查清單\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cpre>\u003Ccode>npm install @anthropic-ai\u002Fsdk\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>把 API key 設成環境變數，接著建立一個小腳本，只送出短 prompt 並印出回覆。第一輪測試要保持簡單，這樣才能把連線問題和 prompt 問題分開看。\u003C\u002Fp>\u003Cp>驗收：你應該在終端機或 log 裡看到 Claude Opus 4.7 的純文字回覆。\u003C\u002Fp>\u003Ch2>Step 3: 建立基準 prompt\u003C\u002Fh2>\u003Cp>目的：用同一組輸入，對照你現有模型與 Opus 4.7 的差異，先選一個對團隊有意義的任務。\u003C\u002Fp>\u003Cp>請固定同一段 prompt、同一份輸入、同一種輸出格式，先做兩次跑分。Anthropic 指出 Opus 4.7 在進階 coding、視覺理解、文件分析與專業寫作上更強，所以第一輪最好從這四類挑一個。\u003C\u002Fp>\u003Cp>驗收：你應該拿到一份可左右並排的結果，能直接看出結構、正確性或文風差異。\u003C\u002Fp>\u003Ch2>Step 4: 量測 token 與成本\u003C\u002Fh2>\u003Cp>目的：確認 Opus 4.7 的推理力度是否讓你的營運成本上升到需要管控的程度。\u003C\u002Fp>\u003Cp>Anthropic 說 Opus 4.7 在較高 effort 下會想得更多，因此某些情況的 output tokens 會高於 Opus 4.6，但價格維持不變。請把每次請求的 prompt tokens、output tokens 與總成本都記錄下來，並用多次執行的平均值比較。\u003C\u002Fp>\u003Cp>驗收：你應該看到部分 prompt 的 output tokens 變高，並能算出清楚的成本變化。\u003C\u002Fp>\u003Cpre>\u003Ccode>from anthropic import Anthropic\nclient = Anthropic()\n\nresp = client.messages.create(\n    model=\"claude-opus-4-7\",\n    max_tokens=1024,\n    messages=[{\"role\": \"user\", \"content\": \"Review this function for bugs and edge cases.\"}]\n)\nprint(resp.content[0].text)\u003C\u002Fcode>\u003C\u002Fpre>\u003Ch2>Step 5: 檢查 benchmark 與安全訊號\u003C\u002Fh2>\u003Cp>目的：把基準分數與安全表現一起看，判斷它是否符合你的風險\u003Ca href=\"\u002Fnews\u002Fjensen-huang-agi-definition-lowers-the-bar-zh\">門檻\u003C\u002Fa>。\u003C\u002Fp>\u003Cp>Anthropic 公布的 Humanity’s Last Exam 無工具分數中，Opus 4.7 為 46.9%，高於 Opus 4.6 的 40.0%，也高於 Gemini 3.1 Pro 的 44.4% 與 GPT-5-4 Pro 的 42.7%，但低於 \u003Ca href=\"\u002Ftag\u002Fclaude-mythos\">Claude Mythos\u003C\u002Fa> 的 56.8%。有工具時，Opus 4.7 為 54.7%，低於 GPT-5-4-Pro 的 58.7% 與 Mythos 的 64.7%。同時，Anthropic 也說它的 hallucination、重要遺漏與 reward hacking 都比 Opus 4.6 更低。\u003C\u002Fp>\u003Cp>驗收：你應該能指出至少一個 Opus 4.7 優於 Opus 4.6 的 \u003Ca href=\"\u002Ftag\u002Fbenchmark\">benchmark\u003C\u002Fa>，並寫下會影響部署決策的安全結論。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>指標\u003C\u002Fth>\u003Cth>基準／優化前\u003C\u002Fth>\u003Cth>結果／優化後\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>Humanity’s Last Exam，無工具\u003C\u002Ftd>\u003Ctd>Claude Opus 4.6：40.0%\u003C\u002Ftd>\u003Ctd>Claude Opus 4.7：46.9%\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Humanity’s Last Exam，有工具\u003C\u002Ftd>\u003Ctd>GPT-5-4-Pro：58.7%\u003C\u002Ftd>\u003Ctd>Claude Opus 4.7：54.7%\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Hallucination 風險\u003C\u002Ftd>\u003Ctd>Opus 4.6 基準\u003C\u002Ftd>\u003Ctd>Opus 4.7 較低\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Output token 用量\u003C\u002Ftd>\u003Ctd>Opus 4.6 基準\u003C\u002Ftd>\u003Ctd>Opus 4.7 在部分 effort 下較高\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>常見錯誤\u003C\u002Fh2>\u003Cul>\u003Cli>模型名稱打錯。修法：上線前直接從 Anthropic 官方文件或 migration guide 複製 Opus 4.7 的精確識別字串。\u003C\u002Fli>\u003Cli>只測一個 prompt。修法：至少準備一小組測試集，涵蓋 coding、分析與寫作，才看得出提升是否穩定。\u003C\u002Fli>\u003Cli>忽略 token 成長。修法：每次請求都記錄 prompt 與 output tokens，先訂預算門檻再決定是否全量導入。\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>接下來可以看什麼\u003C\u002Fh2>\u003Cp>下一步建議把這份單次測試，擴成內部 eval suite，再加上高風險輸出的 guardrails，並回頭讀 Anthropic 的 model card 與 migration guide，確認正式上線條件。\u003C\u002Fp>","這份指南帶你確認 Claude Opus 4.7 存取、跑基準測試、量化 token 成本，並檢查安全與部署取捨。","mashable.com","https:\u002F\u002Fmashable.com\u002Farticle\u002Fanthropic-releases-claude-opus-4-7",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1785720758596-foj1.png","model-release","zh","6e9aa97d-d130-4c68-a2cd-d7bd78b7c610",[17,18,19,20,21],"Claude Opus 4.7","Anthropic SDK","benchmarks","token usage","safety",[23,24,25],"先確認存取路徑與模型名稱，避免把設定錯誤誤判成模型問題。","用同一組 prompt 跑基準，才能比較 Opus 4.7 與舊模型的真實差異。","把 token 與安全訊號一起納入判斷，才能決定是否適合部署。",0,"2026-08-03T01:32:20.536712+00:00","2026-08-03T01:32:20.53+00:00",{"tags":30,"relatedLang":31,"relatedPosts":35},[],{"id":15,"slug":32,"title":33,"language":34},"try-claude-opus-4-7-benchmarks-safety-en","Try Claude Opus 4.7 and read its benchmarks","en",[36,42,48,54,60,66],{"id":37,"slug":38,"title":39,"cover_image":40,"image_url":40,"created_at":41,"category":13},"af7c62ff-db44-4ed0-a37d-06c1075be3da","opus-5-cut-cost-without-losing-quality-zh","Opus 5 讓你降成本不降品質","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1785607383846-0d63.png","2026-08-01T18:02:40.319298+00:00",{"id":43,"slug":44,"title":45,"cover_image":46,"image_url":46,"created_at":47,"category":13},"39170c12-7e99-4fb8-aebc-d4f155953b6f","openai-cuts-gpt-56-prices-ai-bills-zh","OpenAI 降價 GPT-5.6，AI 成本戰升溫","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1785542570368-7qsi.png","2026-08-01T00:02:27.913994+00:00",{"id":49,"slug":50,"title":51,"cover_image":52,"image_url":52,"created_at":53,"category":13},"5c2585a3-075b-460e-a94c-8074cef9fd5c","opus-5-anthropic-pricing-declaration-zh","Opus 5 不是便宜替代品，而是 Anthropic 的定价宣言","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1785499377637-rvq1.png","2026-07-31T12:02:29.120933+00:00",{"id":55,"slug":56,"title":57,"cover_image":58,"image_url":58,"created_at":59,"category":13},"7f3ab4f9-0379-43be-bec5-cfcecadb2c16","openai-free-gpt56-access-scientists-zh","OpenAI免費開放GPT-5.6給科學家","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1785434587853-kd60.png","2026-07-30T18:02:38.330087+00:00",{"id":61,"slug":62,"title":63,"cover_image":64,"image_url":64,"created_at":65,"category":13},"1b42790d-8acd-4eba-822d-0e389f6ecca6","google-gemini-3-6-flash-pro-missing-zh","谷歌先推 Gemini 3.6 Flash，Pro 仍缺席","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1785144807813-mfup.png","2026-07-27T09:32:52.865424+00:00",{"id":67,"slug":68,"title":69,"cover_image":70,"image_url":70,"created_at":71,"category":13},"b2c2e5ae-86cb-42c9-8fb2-88433cfd908e","kimi-k3-forces-silicon-valley-to-pick-sides-zh","Kimi K3 逼矽谷選邊站","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1785139414565-q4vu.png","2026-07-27T08:03:09.48247+00:00",[73,78,83,88,93,98,103,108,113,118],{"id":74,"slug":75,"title":76,"created_at":77},"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":79,"slug":80,"title":81,"created_at":82},"0dcc2c61-c2a6-480d-adb8-dd225fc68914","march-2026-ai-model-news-what-mattered-zh","2026 年 3 月 AI 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