[{"data":1,"prerenderedAt":1164},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"model-claude-sonnet-4":9},{"tools":4,"reviews":5},65,7,{"tools":4,"reviews":5,"playbooks":7,"news":8},10,8,{"id":10,"title":11,"apiCompatible":12,"benchmarks":14,"body":27,"category":1129,"contextWindow":1130,"description":1131,"extension":1132,"maxOutput":1133,"meta":1134,"navigation":137,"path":1135,"pricing":1136,"published":1137,"relatedTools":1138,"releaseDate":1143,"seo":1144,"slug":1026,"stem":1145,"strengths":1146,"updated":1137,"useCases":1152,"vendor":1157,"vendorEn":1157,"weaknesses":1158,"__hash__":1163},"models\u002Fmodels\u002Fclaude-sonnet-4.md","Claude Sonnet 4",[13],"anthropic",[15,18,21,24],{"name":16,"score":17},"SWE-bench Verified","72.7%",{"name":19,"score":20},"HumanEval","93.7%",{"name":22,"score":23},"MMLU","88.7%",{"name":25,"score":26},"GPQA Diamond","59.4%",{"type":28,"value":29,"toc":1107},"minimark",[30,34,38,41,45,48,51,54,58,72,88,92,95,99,103,317,321,328,465,478,481,592,595,680,691,694,740,743,746,749,799,807,810,813,844,847,850,876,879,1013,1016,1073,1076,1103],[31,32,33],"h2",{"id":33},"概述",[35,36,37],"p",{},"Claude Sonnet 4 是 Anthropic 于 2025 年 5 月发布的旗舰模型，定位为编程与推理的全能型选手。在 SWE-bench Verified 上拿到 72.7% 的成绩，成为 Cursor、Claude Code、Cline 等主流 AI 编程工具的首选模型。",[31,39,40],{"id":40},"核心能力",[42,43,44],"h3",{"id":44},"编程",[35,46,47],{},"SWE-bench Verified 72.7% — 这意味着它能独立解决近 3\u002F4 的真实 GitHub issue。在 Cursor Composer 多文件改写场景下，Sonnet 4 的成功率明显高于 GPT-4o 和 Gemini 2.5 Pro。",[42,49,50],{"id":50},"长上下文",[35,52,53],{},"200K token 上下文窗口足以容纳一个中型项目的全部源码。64K 的输出窗口让它能一次性生成完整的长文件，不会在中间截断。",[42,55,57],{"id":56},"agent-工具调用","Agent 工具调用",[35,59,60,61,66,67,71],{},"Claude Sonnet 4 的",[62,63,65],"a",{"href":64},"\u002Fwiki\u002Ffunction-calling.html","工具调用","（tool use）非常稳定。在多步 ",[62,68,70],{"href":69},"\u002Fwiki\u002Fai-agent.html","Agent"," 工作流中，它能可靠地：",[73,74,75,79,82,85],"ul",{},[76,77,78],"li",{},"解析工具返回结果",[76,80,81],{},"决定下一步调用哪个工具",[76,83,84],{},"在工具失败时自动重试或换方案",[76,86,87],{},"支持 parallel tool calls，一次返回多个独立调用",[42,89,91],{"id":90},"artifacts","Artifacts",[35,93,94],{},"原生支持 artifacts 功能——生成的 HTML\u002FReact\u002FSVG 等前端代码可以直接在对话中渲染预览，不需要切换到外部工具。",[31,96,98],{"id":97},"api-调用示例","API 调用示例",[42,100,102],{"id":101},"python-sdk","Python SDK",[104,105,110],"pre",{"className":106,"code":107,"language":108,"meta":109,"style":109},"language-python shiki shiki-themes github-light github-dark","from anthropic import Anthropic\n\nclient = Anthropic(api_key=\"sk-ant-...\")\n\nresp = client.messages.create(\n    model=\"claude-sonnet-4-20250522\",\n    max_tokens=4096,\n    temperature=0,           # 编程场景建议 0，详见 wiki\u002Ftemperature-top-p\n    system=\"You are an expert Python reviewer.\",\n    messages=[\n        {\"role\": \"user\", \"content\": \"Review this code:\\n```python\\n...\\n```\"}\n    ],\n)\nprint(resp.content[0].text)\n","python","",[111,112,113,132,139,164,169,180,194,207,224,237,247,292,298,303],"code",{"__ignoreMap":109},[114,115,118,122,126,129],"span",{"class":116,"line":117},"line",1,[114,119,121],{"class":120},"szBVR","from",[114,123,125],{"class":124},"sVt8B"," anthropic ",[114,127,128],{"class":120},"import",[114,130,131],{"class":124}," Anthropic\n",[114,133,135],{"class":116,"line":134},2,[114,136,138],{"emptyLinePlaceholder":137},true,"\n",[114,140,142,145,148,151,155,157,161],{"class":116,"line":141},3,[114,143,144],{"class":124},"client ",[114,146,147],{"class":120},"=",[114,149,150],{"class":124}," Anthropic(",[114,152,154],{"class":153},"s4XuR","api_key",[114,156,147],{"class":120},[114,158,160],{"class":159},"sZZnC","\"sk-ant-...\"",[114,162,163],{"class":124},")\n",[114,165,167],{"class":116,"line":166},4,[114,168,138],{"emptyLinePlaceholder":137},[114,170,172,175,177],{"class":116,"line":171},5,[114,173,174],{"class":124},"resp ",[114,176,147],{"class":120},[114,178,179],{"class":124}," client.messages.create(\n",[114,181,183,186,188,191],{"class":116,"line":182},6,[114,184,185],{"class":153},"    model",[114,187,147],{"class":120},[114,189,190],{"class":159},"\"claude-sonnet-4-20250522\"",[114,192,193],{"class":124},",\n",[114,195,196,199,201,205],{"class":116,"line":5},[114,197,198],{"class":153},"    max_tokens",[114,200,147],{"class":120},[114,202,204],{"class":203},"sj4cs","4096",[114,206,193],{"class":124},[114,208,209,212,214,217,220],{"class":116,"line":8},[114,210,211],{"class":153},"    temperature",[114,213,147],{"class":120},[114,215,216],{"class":203},"0",[114,218,219],{"class":124},",           ",[114,221,223],{"class":222},"sJ8bj","# 编程场景建议 0，详见 wiki\u002Ftemperature-top-p\n",[114,225,227,230,232,235],{"class":116,"line":226},9,[114,228,229],{"class":153},"    system",[114,231,147],{"class":120},[114,233,234],{"class":159},"\"You are an expert Python reviewer.\"",[114,236,193],{"class":124},[114,238,239,242,244],{"class":116,"line":7},[114,240,241],{"class":153},"    messages",[114,243,147],{"class":120},[114,245,246],{"class":124},"[\n",[114,248,250,253,256,259,262,265,268,270,273,276,279,281,284,286,289],{"class":116,"line":249},11,[114,251,252],{"class":124},"        {",[114,254,255],{"class":159},"\"role\"",[114,257,258],{"class":124},": ",[114,260,261],{"class":159},"\"user\"",[114,263,264],{"class":124},", ",[114,266,267],{"class":159},"\"content\"",[114,269,258],{"class":124},[114,271,272],{"class":159},"\"Review this code:",[114,274,275],{"class":203},"\\n",[114,277,278],{"class":159},"```python",[114,280,275],{"class":203},[114,282,283],{"class":159},"...",[114,285,275],{"class":203},[114,287,288],{"class":159},"```\"",[114,290,291],{"class":124},"}\n",[114,293,295],{"class":116,"line":294},12,[114,296,297],{"class":124},"    ],\n",[114,299,301],{"class":116,"line":300},13,[114,302,163],{"class":124},[114,304,306,309,312,314],{"class":116,"line":305},14,[114,307,308],{"class":203},"print",[114,310,311],{"class":124},"(resp.content[",[114,313,216],{"class":203},[114,315,316],{"class":124},"].text)\n",[42,318,320],{"id":319},"启用-prompt-cache省钱关键","启用 Prompt Cache（省钱关键）",[35,322,323,324,327],{},"长 system prompt 或工具定义放 ",[111,325,326],{},"cache_control"," 块里，5 分钟内复用 Input 价格 -90%：",[104,329,331],{"className":106,"code":330,"language":108,"meta":109,"style":109},"resp = client.messages.create(\n    model=\"claude-sonnet-4-20250522\",\n    max_tokens=4096,\n    system=[\n        {\n            \"type\": \"text\",\n            \"text\": \"\u003Chuge_codebase_context>...\u003C\u002Fhuge_codebase_context>\",\n            \"cache_control\": {\"type\": \"ephemeral\"},  # ← 关键\n        }\n    ],\n    messages=[{\"role\": \"user\", \"content\": \"Find bugs in module X.\"}],\n)\n# 看 resp.usage.cache_read_input_tokens 确认命中\n",[111,332,333,341,351,361,369,374,386,398,420,425,429,456,460],{"__ignoreMap":109},[114,334,335,337,339],{"class":116,"line":117},[114,336,174],{"class":124},[114,338,147],{"class":120},[114,340,179],{"class":124},[114,342,343,345,347,349],{"class":116,"line":134},[114,344,185],{"class":153},[114,346,147],{"class":120},[114,348,190],{"class":159},[114,350,193],{"class":124},[114,352,353,355,357,359],{"class":116,"line":141},[114,354,198],{"class":153},[114,356,147],{"class":120},[114,358,204],{"class":203},[114,360,193],{"class":124},[114,362,363,365,367],{"class":116,"line":166},[114,364,229],{"class":153},[114,366,147],{"class":120},[114,368,246],{"class":124},[114,370,371],{"class":116,"line":171},[114,372,373],{"class":124},"        {\n",[114,375,376,379,381,384],{"class":116,"line":182},[114,377,378],{"class":159},"            \"type\"",[114,380,258],{"class":124},[114,382,383],{"class":159},"\"text\"",[114,385,193],{"class":124},[114,387,388,391,393,396],{"class":116,"line":5},[114,389,390],{"class":159},"            \"text\"",[114,392,258],{"class":124},[114,394,395],{"class":159},"\"\u003Chuge_codebase_context>...\u003C\u002Fhuge_codebase_context>\"",[114,397,193],{"class":124},[114,399,400,403,406,409,411,414,417],{"class":116,"line":8},[114,401,402],{"class":159},"            \"cache_control\"",[114,404,405],{"class":124},": {",[114,407,408],{"class":159},"\"type\"",[114,410,258],{"class":124},[114,412,413],{"class":159},"\"ephemeral\"",[114,415,416],{"class":124},"},  ",[114,418,419],{"class":222},"# ← 关键\n",[114,421,422],{"class":116,"line":226},[114,423,424],{"class":124},"        }\n",[114,426,427],{"class":116,"line":7},[114,428,297],{"class":124},[114,430,431,433,435,438,440,442,444,446,448,450,453],{"class":116,"line":249},[114,432,241],{"class":153},[114,434,147],{"class":120},[114,436,437],{"class":124},"[{",[114,439,255],{"class":159},[114,441,258],{"class":124},[114,443,261],{"class":159},[114,445,264],{"class":124},[114,447,267],{"class":159},[114,449,258],{"class":124},[114,451,452],{"class":159},"\"Find bugs in module X.\"",[114,454,455],{"class":124},"}],\n",[114,457,458],{"class":116,"line":294},[114,459,163],{"class":124},[114,461,462],{"class":116,"line":300},[114,463,464],{"class":222},"# 看 resp.usage.cache_read_input_tokens 确认命中\n",[35,466,467,468,472,473,477],{},"实测：50K token 的固定 system prompt 配合 cache，每次调用 Input 成本从 $0.15 降到 $0.015，重度使用月省数百刀。详见 ",[62,469,471],{"href":470},"\u002Fwiki\u002Ftoken.html","Token"," 与 ",[62,474,476],{"href":475},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering","。",[42,479,480],{"id":480},"流式输出",[104,482,484],{"className":106,"code":483,"language":108,"meta":109,"style":109},"with client.messages.stream(\n    model=\"claude-sonnet-4-20250522\",\n    max_tokens=4096,\n    messages=[{\"role\": \"user\", \"content\": \"Write a long article.\"}],\n) as stream:\n    for text in stream.text_stream:\n        print(text, end=\"\", flush=True)\n",[111,485,486,494,504,514,539,550,564],{"__ignoreMap":109},[114,487,488,491],{"class":116,"line":117},[114,489,490],{"class":120},"with",[114,492,493],{"class":124}," client.messages.stream(\n",[114,495,496,498,500,502],{"class":116,"line":134},[114,497,185],{"class":153},[114,499,147],{"class":120},[114,501,190],{"class":159},[114,503,193],{"class":124},[114,505,506,508,510,512],{"class":116,"line":141},[114,507,198],{"class":153},[114,509,147],{"class":120},[114,511,204],{"class":203},[114,513,193],{"class":124},[114,515,516,518,520,522,524,526,528,530,532,534,537],{"class":116,"line":166},[114,517,241],{"class":153},[114,519,147],{"class":120},[114,521,437],{"class":124},[114,523,255],{"class":159},[114,525,258],{"class":124},[114,527,261],{"class":159},[114,529,264],{"class":124},[114,531,267],{"class":159},[114,533,258],{"class":124},[114,535,536],{"class":159},"\"Write a long article.\"",[114,538,455],{"class":124},[114,540,541,544,547],{"class":116,"line":171},[114,542,543],{"class":124},") ",[114,545,546],{"class":120},"as",[114,548,549],{"class":124}," stream:\n",[114,551,552,555,558,561],{"class":116,"line":182},[114,553,554],{"class":120},"    for",[114,556,557],{"class":124}," text ",[114,559,560],{"class":120},"in",[114,562,563],{"class":124}," stream.text_stream:\n",[114,565,566,569,572,575,577,580,582,585,587,590],{"class":116,"line":5},[114,567,568],{"class":203},"        print",[114,570,571],{"class":124},"(text, ",[114,573,574],{"class":153},"end",[114,576,147],{"class":120},[114,578,579],{"class":159},"\"\"",[114,581,264],{"class":124},[114,583,584],{"class":153},"flush",[114,586,147],{"class":120},[114,588,589],{"class":203},"True",[114,591,163],{"class":124},[31,593,594],{"id":594},"关键参数",[596,597,598,614],"table",{},[599,600,601],"thead",{},[602,603,604,608,611],"tr",{},[605,606,607],"th",{},"参数",[605,609,610],{},"推荐值",[605,612,613],{},"场景",[615,616,617,630,642,654,667],"tbody",{},[602,618,619,625,627],{},[620,621,622],"td",{},[111,623,624],{},"temperature",[620,626,216],{},[620,628,629],{},"代码生成 \u002F 工具调用 \u002F 数据抽取",[602,631,632,636,639],{},[620,633,634],{},[111,635,624],{},[620,637,638],{},"0.7",[620,640,641],{},"通用对话",[602,643,644,648,651],{},[620,645,646],{},[111,647,624],{},[620,649,650],{},"1.0",[620,652,653],{},"创意写作",[602,655,656,661,664],{},[620,657,658],{},[111,659,660],{},"max_tokens",[620,662,663],{},"显式设置",[620,665,666],{},"不要默认上 64K，会浪费钱",[602,668,669,674,677],{},[620,670,671],{},[111,672,673],{},"stop_sequences",[620,675,676],{},"按需设",[620,678,679],{},"结构化输出场景提前截断",[35,681,682,683,686,687,477],{},"强烈建议工具调用场景设 ",[111,684,685],{},"temperature=0","，能让函数选择和参数提取稳定 10x。原理见 ",[62,688,690],{"href":689},"\u002Fwiki\u002Ftemperature-top-p.html","Temperature 与 Top-P",[31,692,693],{"id":693},"定价",[596,695,696,706],{},[599,697,698],{},[602,699,700,703],{},[605,701,702],{},"项目",[605,704,705],{},"价格",[615,707,708,716,724,732],{},[602,709,710,713],{},[620,711,712],{},"Input",[620,714,715],{},"$3 \u002F 百万 token",[602,717,718,721],{},[620,719,720],{},"Output",[620,722,723],{},"$15 \u002F 百万 token",[602,725,726,729],{},[620,727,728],{},"Prompt Cache Write",[620,730,731],{},"$3.75 \u002F 百万 token",[602,733,734,737],{},[620,735,736],{},"Prompt Cache Read",[620,738,739],{},"$0.30 \u002F 百万 token",[35,741,742],{},"对比 GPT-4o（Input $2.5\u002FM · Output $10\u002FM），Sonnet 4 贵约 20-50%，但编程质量更高。重度编程用户差的这点钱完全值得。",[31,744,745],{"id":745},"限流与并发",[35,747,748],{},"Anthropic 官方 API 的 rate limit 按 tier 分档（Tier 1 → Tier 4），关键三个指标：",[596,750,751,764],{},[599,752,753],{},[602,754,755,758,761],{},[605,756,757],{},"指标",[605,759,760],{},"Tier 1（首付费用户）",[605,762,763],{},"Tier 4（高消费用户）",[615,765,766,777,788],{},[602,767,768,771,774],{},[620,769,770],{},"RPM（请求\u002F分钟）",[620,772,773],{},"50",[620,775,776],{},"4,000",[602,778,779,782,785],{},[620,780,781],{},"ITPM（input token\u002F分钟）",[620,783,784],{},"50K",[620,786,787],{},"2M",[602,789,790,793,796],{},[620,791,792],{},"OTPM（output token\u002F分钟）",[620,794,795],{},"10K",[620,797,798],{},"400K",[35,800,801,802,806],{},"踩坑：长 prompt + 高并发场景，最先打到的不是 RPM 而是 ITPM——50K input 一发就触顶。",[803,804,805],"strong",{},"生产环境建议先升 Tier、再做限流（exponential backoff 重试 429）、再开 prompt cache","，三件套组合才能稳定撑住流量。",[31,808,809],{"id":809},"在国内怎么用",[35,811,812],{},"官方 API 不对中国大陆开放，但可以通过以下方式使用：",[814,815,816,822,832,838],"ol",{},[76,817,818,821],{},[803,819,820],{},"AWS Bedrock"," — 企业级方案，需要 AWS 海外账号",[76,823,824,827,828,831],{},[803,825,826],{},"API 中转"," — 国内有多家提供 Claude API 中转服务（见 ",[111,829,830],{},"\u002Fcoding\u002Fapi\u002F"," 分类）",[76,833,834,837],{},[803,835,836],{},"Cursor \u002F Claude Code"," — 这些工具内置了 Claude 模型，直接订阅即可",[76,839,840,843],{},[803,841,842],{},"Coze \u002F 元器"," — 国内 Agent 平台部分已接入",[35,845,846],{},"注意中转服务的稳定性 \u002F 合规性差异较大，生产场景优先选 Bedrock 或自己用 Cloudflare Workers 做转发。",[31,848,849],{"id":849},"适用场景",[73,851,852,858,864,870],{},[76,853,854,857],{},[803,855,856],{},"主力编程模型","：Cursor \u002F Claude Code \u002F Cline 的默认选择",[76,859,860,863],{},[803,861,862],{},"代码审查","：批量 PR review，比 GPT-4o 更精准",[76,865,866,869],{},[803,867,868],{},"长文档处理","：200K 上下文处理合同、论文、技术文档",[76,871,872,875],{},[803,873,874],{},"Agent 编排","：多步工具调用稳定，适合 Coze \u002F Dify 工作流",[31,877,878],{"id":878},"与同档模型怎么选",[596,880,881,900],{},[599,882,883],{},[602,884,885,888,891,894,897],{},[605,886,887],{},"维度",[605,889,890],{},"Sonnet 4",[605,892,893],{},"GPT-5",[605,895,896],{},"Gemini 2.5 Pro",[605,898,899],{},"GLM-5.2",[615,901,902,918,934,950,966,982,998],{},[602,903,904,907,909,912,915],{},[620,905,906],{},"SWE-bench",[620,908,17],{},[620,910,911],{},"68.0%",[620,913,914],{},"63.8%",[620,916,917],{},"65.3%",[602,919,920,923,926,928,931],{},[620,921,922],{},"上下文",[620,924,925],{},"200K",[620,927,798],{},[620,929,930],{},"1M",[620,932,933],{},"128K",[602,935,936,939,942,944,947],{},[620,937,938],{},"输出窗口",[620,940,941],{},"64K",[620,943,933],{},[620,945,946],{},"65K",[620,948,949],{},"32K",[602,951,952,955,958,961,963],{},[620,953,954],{},"工具调用稳定性",[620,956,957],{},"★★★★★",[620,959,960],{},"★★★★☆",[620,962,960],{},[620,964,965],{},"★★★☆☆",[602,967,968,971,974,977,980],{},[620,969,970],{},"多模态",[620,972,973],{},"图片",[620,975,976],{},"图片+音频+视频",[620,978,979],{},"全类型",[620,981,973],{},[602,983,984,987,990,993,995],{},[620,985,986],{},"Input 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