[{"data":1,"prerenderedAt":597},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"model-claude-opus-4-5":9},{"tools":4,"reviews":5},70,12,{"tools":4,"reviews":5,"playbooks":7,"news":8},15,13,{"id":10,"title":11,"apiCompatible":12,"benchmarks":16,"body":29,"category":562,"contextWindow":563,"description":564,"extension":565,"maxOutput":566,"meta":567,"navigation":215,"path":568,"pricing":569,"published":570,"relatedTools":571,"releaseDate":575,"seo":576,"slug":577,"stem":578,"strengths":579,"updated":570,"useCases":585,"vendor":590,"vendorEn":590,"weaknesses":591,"__hash__":596},"models\u002Fmodels\u002Fclaude-opus-4-5.md","Claude Opus 4.5",[13,14,15],"anthropic","bedrock","vertex-ai",[17,20,23,26],{"name":18,"score":19},"SWE-bench Verified","SOTA（发布时）",{"name":21,"score":22},"Aider Polyglot","较 Sonnet 4.5 +10.6%",{"name":24,"score":25},"SWE-bench Multilingual","8 种语言中领先 7 种",{"name":27,"score":28},"Vending-Bench","较 Sonnet 4.5 +29%",{"type":30,"value":31,"toc":548},"minimark",[32,36,51,54,59,79,82,86,93,138,141,145,153,156,159,163,336,339,369,376,379,466,479,482,513,516,544],[33,34,35],"h2",{"id":35},"概述",[37,38,39,40,44,45,50],"p",{},"Claude Opus 4.5 是 Anthropic 于 2025 年 11 月 24 日发布的旗舰模型（模型 ID ",[41,42,43],"code",{},"claude-opus-4-5-20251101","），专为编程、agentic 工作流和复杂 computer use 优化。发布时在 SWE-bench Verified 上达到 SOTA，是评测站高频对标的「编程能力天花板」。相比 ",[46,47,49],"a",{"href":48},"\u002Fmodels\u002Fclaude-sonnet-4.html","Claude Sonnet 4.5","，它在保持更强能力的同时通过 effort 参数大幅降低 token 消耗。",[33,52,53],{"id":53},"核心能力",[55,56,58],"h3",{"id":57},"编程-sota","编程 SOTA",[60,61,62,69,74],"ul",{},[63,64,65,68],"li",{},[66,67,18],"strong",{},"：发布时业界最高分",[63,70,71,73],{},[66,72,21],{},"：较 Sonnet 4.5 提升 10.6%",[63,75,76,78],{},[66,77,24],{},"：8 种编程语言里领先 7 种",[37,80,81],{},"官方一个内部性能工程师 take-home 考试中，Opus 4.5 在 2 小时限时内的得分超过所有人类候选人。",[55,83,85],{"id":84},"effort-参数降本关键","effort 参数（降本关键）",[37,87,88,89,92],{},"Opus 4.5 新增 API ",[41,90,91],{},"effort"," 参数，在速度\u002F成本和能力之间权衡：",[94,95,96,112],"table",{},[97,98,99],"thead",{},[100,101,102,106,109],"tr",{},[103,104,105],"th",{},"effort 档位",[103,107,108],{},"表现",[103,110,111],{},"token 消耗",[113,114,115,127],"tbody",{},[100,116,117,121,124],{},[118,119,120],"td",{},"medium",[118,122,123],{},"持平 Sonnet 4.5 的 SWE-bench",[118,125,126],{},"比 Sonnet 4.5 少 76%",[100,128,129,132,135],{},[118,130,131],{},"high",[118,133,134],{},"超 Sonnet 4.5 4.3 个百分点",[118,136,137],{},"少 48%",[37,139,140],{},"这意味着即便单价 $5\u002F$25 偏高，实际账单因 token 消耗大幅下降而更可控。",[55,142,144],{"id":143},"长程-agent-与编排","长程 Agent 与编排",[37,146,147,148,152],{},"新增上下文 compaction 和记忆能力，长任务不丢上下文。擅长管理 subagent 团队——结合这些技术，官方深度研究评测提升近 15 个百分点。关于多 agent 编排的概念见 ",[46,149,151],{"href":150},"\u002Fwiki\u002Fai-agent.html","AI Agent","。",[55,154,155],{"id":155},"对齐与安全",[37,157,158],{},"Anthropic 称其为当前最稳健对齐的前沿模型。抗提示注入能力显著强于同业（Gray Swan 第三方验证），在人类误用和自主不当行为上的「问题行为」分数更低。",[33,160,162],{"id":161},"api-调用示例","API 调用示例",[164,165,170],"pre",{"className":166,"code":167,"language":168,"meta":169,"style":169},"language-python shiki shiki-themes github-light github-dark","import anthropic\nclient = anthropic.Anthropic(api_key=\"sk-ant-...\")\n\nmsg = client.messages.create(\n    model=\"claude-opus-4-5\",\n    max_tokens=8000,\n    extra_body={\"effort\": \"medium\"},  # medium 省 76% token\n    messages=[{\"role\": \"user\", \"content\": \"重构这个模块并加类型注解\"}],\n)\nprint(msg.content[0].text)\n","python","",[41,171,172,185,210,217,228,242,256,283,316,321],{"__ignoreMap":169},[173,174,177,181],"span",{"class":175,"line":176},"line",1,[173,178,180],{"class":179},"szBVR","import",[173,182,184],{"class":183},"sVt8B"," anthropic\n",[173,186,188,191,194,197,201,203,207],{"class":175,"line":187},2,[173,189,190],{"class":183},"client ",[173,192,193],{"class":179},"=",[173,195,196],{"class":183}," anthropic.Anthropic(",[173,198,200],{"class":199},"s4XuR","api_key",[173,202,193],{"class":179},[173,204,206],{"class":205},"sZZnC","\"sk-ant-...\"",[173,208,209],{"class":183},")\n",[173,211,213],{"class":175,"line":212},3,[173,214,216],{"emptyLinePlaceholder":215},true,"\n",[173,218,220,223,225],{"class":175,"line":219},4,[173,221,222],{"class":183},"msg ",[173,224,193],{"class":179},[173,226,227],{"class":183}," client.messages.create(\n",[173,229,231,234,236,239],{"class":175,"line":230},5,[173,232,233],{"class":199},"    model",[173,235,193],{"class":179},[173,237,238],{"class":205},"\"claude-opus-4-5\"",[173,240,241],{"class":183},",\n",[173,243,245,248,250,254],{"class":175,"line":244},6,[173,246,247],{"class":199},"    max_tokens",[173,249,193],{"class":179},[173,251,253],{"class":252},"sj4cs","8000",[173,255,241],{"class":183},[173,257,259,262,264,267,270,273,276,279],{"class":175,"line":258},7,[173,260,261],{"class":199},"    extra_body",[173,263,193],{"class":179},[173,265,266],{"class":183},"{",[173,268,269],{"class":205},"\"effort\"",[173,271,272],{"class":183},": ",[173,274,275],{"class":205},"\"medium\"",[173,277,278],{"class":183},"},  ",[173,280,282],{"class":281},"sJ8bj","# medium 省 76% token\n",[173,284,286,289,291,294,297,299,302,305,308,310,313],{"class":175,"line":285},8,[173,287,288],{"class":199},"    messages",[173,290,193],{"class":179},[173,292,293],{"class":183},"[{",[173,295,296],{"class":205},"\"role\"",[173,298,272],{"class":183},[173,300,301],{"class":205},"\"user\"",[173,303,304],{"class":183},", ",[173,306,307],{"class":205},"\"content\"",[173,309,272],{"class":183},[173,311,312],{"class":205},"\"重构这个模块并加类型注解\"",[173,314,315],{"class":183},"}],\n",[173,317,319],{"class":175,"line":318},9,[173,320,209],{"class":183},[173,322,324,327,330,333],{"class":175,"line":323},10,[173,325,326],{"class":252},"print",[173,328,329],{"class":183},"(msg.content[",[173,331,332],{"class":252},"0",[173,334,335],{"class":183},"].text)\n",[33,337,338],{"id":338},"定价",[94,340,341,351],{},[97,342,343],{},[100,344,345,348],{},[103,346,347],{},"项目",[103,349,350],{},"价格",[113,352,353,361],{},[100,354,355,358],{},[118,356,357],{},"Input",[118,359,360],{},"$5 \u002F 百万 token",[100,362,363,366],{},[118,364,365],{},"Output",[118,367,368],{},"$25 \u002F 百万 token",[37,370,371,372,375],{},"比 Sonnet 4.5（$3\u002F$15）贵，但配合 ",[41,373,374],{},"effort=medium"," 的 token 节省，复杂任务实际成本常更低。Claude Code 用户已可直接用上。",[33,377,378],{"id":378},"与同档模型怎么选",[94,380,381,396],{},[97,382,383],{},[100,384,385,388,390,393],{},[103,386,387],{},"维度",[103,389,11],{},[103,391,392],{},"Gemini 3 Pro",[103,394,395],{},"GPT-5.1-Codex-Max",[113,397,398,412,426,440,454],{},[100,399,400,403,406,409],{},[118,401,402],{},"纯编程（SWE-bench）",[118,404,405],{},"SOTA",[118,407,408],{},"76.2%",[118,410,411],{},"77.9%",[100,413,414,417,420,423],{},[118,415,416],{},"多模态",[118,418,419],{},"仅图片",[118,421,422],{},"原生全模态",[118,424,425],{},"弱",[100,427,428,431,434,437],{},[118,429,430],{},"上下文",[118,432,433],{},"200K",[118,435,436],{},"1M",[118,438,439],{},"多窗口 compaction",[100,441,442,445,448,451],{},[118,443,444],{},"agent 编排",[118,446,447],{},"★★★★★",[118,449,450],{},"★★★★☆",[118,452,453],{},"★★★★★（专用）",[100,455,456,459,462,464],{},[118,457,458],{},"国内可用",[118,460,461],{},"❌",[118,463,461],{},[118,465,461],{},[37,467,468,471,472,475,476,152],{},[66,469,470],{},"建议","：综合编程 + agent 编排选 Opus 4.5；纯长程自动化编码任务可看专用的 ",[46,473,395],{"href":474},"\u002Fmodels\u002Fgpt-5-1-codex-max.html","；要多模态选 ",[46,477,392],{"href":478},"\u002Fmodels\u002Fgemini-3-pro.html",[33,480,481],{"id":481},"避坑清单",[60,483,484,490,501,507],{},[63,485,486,489],{},[66,487,488],{},"善用 effort 参数","：默认别拉 high，medium 已能持平 Sonnet 4.5 且省 76% token。",[63,491,492,495,496,500],{},[66,493,494],{},"200K 上下文不是无限","：超长 codebase 仍需配合 ",[46,497,499],{"href":498},"\u002Fwiki\u002Frag.html","RAG"," 或检索压缩。",[63,502,503,506],{},[66,504,505],{},"国内无直连","：需 Bedrock \u002F Vertex AI 或中转。",[63,508,509,512],{},[66,510,511],{},"价格敏感场景算总账","：单价高但 token 省，按实际任务估算而非只看单价。",[33,514,515],{"id":515},"延伸阅读",[60,517,518,530,537],{},[63,519,520,521,523,524,523,526],{},"对比同档：",[46,522,395],{"href":474}," \u002F ",[46,525,392],{"href":478},[46,527,529],{"href":528},"\u002Fmodels\u002Fgpt-5.html","GPT-5",[63,531,532,533],{},"配套工具：",[46,534,536],{"href":535},"\u002Fcoding\u002Fcli\u002Fclaude-code.html","Claude Code",[63,538,539,540],{},"深度评测：",[46,541,543],{"href":542},"\u002Freview\u002Fclaude-code-deep-review.html","Claude Code 深度评测",[545,546,547],"style",{},"html pre.shiki code .szBVR, html code.shiki .szBVR{--shiki-default:#D73A49;--shiki-dark:#F97583}html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html pre.shiki code .s4XuR, html code.shiki .s4XuR{--shiki-default:#E36209;--shiki-dark:#FFAB70}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":169,"searchDepth":212,"depth":212,"links":549},[550,551,557,558,559,560,561],{"id":35,"depth":187,"text":35},{"id":53,"depth":187,"text":53,"children":552},[553,554,555,556],{"id":57,"depth":212,"text":58},{"id":84,"depth":212,"text":85},{"id":143,"depth":212,"text":144},{"id":155,"depth":212,"text":155},{"id":161,"depth":187,"text":162},{"id":338,"depth":187,"text":338},{"id":378,"depth":187,"text":378},{"id":481,"depth":187,"text":481},{"id":515,"depth":187,"text":515},"coding",200000,"Anthropic 2025 年 11 月发布的旗舰模型，专为编程\u002Fagent\u002Fcomputer use 优化，SWE-bench Verified 发布即 SOTA，新增 effort 参数大幅降本。","md",64000,{},"\u002Fmodels\u002Fclaude-opus-4-5","Input $5\u002FM · Output $25\u002FM","2026-06-28",[572,573,574],"coding\u002Fcli\u002Fclaude-code","coding\u002Fide\u002Fcursor","coding\u002Fapi\u002Fopenrouter","2025-11-24",{"title":11,"description":564},"claude-opus-4-5","models\u002Fclaude-opus-4-5",[580,581,582,583,584],"SWE-bench Verified 当时 SOTA，编程能力业界第一梯队","新增 effort 参数：medium 档省 76% token 仍持平 Sonnet 4.5","长程 agent 能力强，擅长多 subagent 编排","号称最稳健对齐的前沿模型，抗提示注入强（Gray Swan 验证）","上下文 compaction + 记忆能力，长任务不丢上下文",[586,587,588,589],"软件工程 \u002F 大型重构 agent","深度研究与多步推理","金融建模（Excel）","多 subagent 编排任务","Anthropic",[592,593,594,595],"价格偏高（$5\u002F$25），高吞吐场景成本压力大","国内无官方 API，需走中转","上下文 200K，低于 Gemini 3 Pro 的 1M","纯多模态弱于 Gemini，仅支持图片","Q5BDNhP-Q7QuHKa_hGYPgqGCgJVbx0DXJBZrBO3_ifo",1782663746799]