[{"data":1,"prerenderedAt":1158},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"model-glm-5.2":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":1121,"contextWindow":1122,"description":1123,"extension":1124,"maxOutput":1125,"meta":1126,"navigation":135,"path":1127,"pricing":1128,"published":1129,"relatedTools":1130,"releaseDate":1135,"seo":1136,"slug":1137,"stem":1138,"strengths":1139,"updated":1129,"useCases":1145,"vendor":1150,"vendorEn":1151,"weaknesses":1152,"__hash__":1157},"models\u002Fmodels\u002Fglm-5.2.md","GLM-5.2",[13],"openai",[15,18,21,24],{"name":16,"score":17},"SWE-bench Verified","65.3%",{"name":19,"score":20},"HumanEval","91.2%",{"name":22,"score":23},"MMLU","85.6%",{"name":25,"score":26},"CMMLU","92.3%",{"type":28,"value":29,"toc":1101},"minimark",[30,34,38,41,45,48,51,54,57,76,80,94,98,101,319,323,459,474,477,563,581,584,630,633,636,684,687,690,759,762,765,884,890,901,904,1013,1016,1067,1070,1097],[31,32,33],"h2",{"id":33},"概述",[35,36,37],"p",{},"GLM-5.2 是智谱 AI 于 2026 年 6 月发布的旗舰模型，定位为国产最强编程模型。SWE-bench Verified 65.3%，接近 Claude Sonnet 4 水平。最大优势是国内直连、价格极低、免费 API 额度慷慨。",[31,39,40],{"id":40},"核心能力",[42,43,44],"h3",{"id":44},"编程",[35,46,47],{},"SWE-bench Verified 65.3%，在国产模型中领先。在中文代码注释理解、中文技术文档生成方面优于海外模型。Cursor、Trae、CodeGeeX 等 IDE 已接入。",[42,49,50],{"id":50},"中文理解",[35,52,53],{},"CMMLU 92.3%，中文场景下的指令理解、上下文推理明显优于 GPT-5 和 Claude Sonnet 4。对于中文为主的开发团队，GLM-5.2 是更自然的选择。同样的 prompt 翻译成中文喂给 GLM，效果通常优于把英文 prompt 喂给 Claude。",[42,55,56],{"id":56},"国内直连",[58,59,60,64,67,70,73],"ul",{},[61,62,63],"li",{},"API 服务器在国内，延迟 \u003C 100ms（vs Claude 中转 500ms+）",[61,65,66],{},"无需翻墙、无需中转",[61,68,69],{},"支持支付宝 \u002F 微信付款",[61,71,72],{},"企业可申请私有化部署",[61,74,75],{},"备案合规，可上正式生产环境",[42,77,79],{"id":78},"agent-能力","Agent 能力",[35,81,82,83,88,89,93],{},"支持 ",[84,85,87],"a",{"href":86},"\u002Fwiki\u002Ffunction-calling.html","function calling"," 和 ",[84,90,92],{"href":91},"\u002Fwiki\u002Fmcp.html","MCP 协议","，可在 Coze、Dify、元器等 Agent 平台上使用。多步工具调用稳定性接近 Claude Sonnet 4 的 80%，已能胜任大部分企业 Agent 场景。",[31,95,97],{"id":96},"api-调用示例","API 调用示例",[35,99,100],{},"GLM 提供 OpenAI 兼容接口，最低改动量从 OpenAI 迁过来：",[102,103,108],"pre",{"className":104,"code":105,"language":106,"meta":107,"style":107},"language-python shiki shiki-themes github-light github-dark","from openai import OpenAI\n\nclient = OpenAI(\n    api_key=\"...\",\n    base_url=\"https:\u002F\u002Fopen.bigmodel.cn\u002Fapi\u002Fpaas\u002Fv4\u002F\",\n)\n\nresp = client.chat.completions.create(\n    model=\"glm-5.2\",\n    temperature=0,\n    messages=[\n        {\"role\": \"system\", \"content\": \"你是资深 Python 工程师。\"},\n        {\"role\": \"user\", \"content\": \"重构以下代码...\"},\n    ],\n    tools=[...],   # function calling\n)\n","python","",[109,110,111,130,137,149,165,178,184,188,198,211,224,235,264,287,293,314],"code",{"__ignoreMap":107},[112,113,116,120,124,127],"span",{"class":114,"line":115},"line",1,[112,117,119],{"class":118},"szBVR","from",[112,121,123],{"class":122},"sVt8B"," openai ",[112,125,126],{"class":118},"import",[112,128,129],{"class":122}," OpenAI\n",[112,131,133],{"class":114,"line":132},2,[112,134,136],{"emptyLinePlaceholder":135},true,"\n",[112,138,140,143,146],{"class":114,"line":139},3,[112,141,142],{"class":122},"client ",[112,144,145],{"class":118},"=",[112,147,148],{"class":122}," OpenAI(\n",[112,150,152,156,158,162],{"class":114,"line":151},4,[112,153,155],{"class":154},"s4XuR","    api_key",[112,157,145],{"class":118},[112,159,161],{"class":160},"sZZnC","\"...\"",[112,163,164],{"class":122},",\n",[112,166,168,171,173,176],{"class":114,"line":167},5,[112,169,170],{"class":154},"    base_url",[112,172,145],{"class":118},[112,174,175],{"class":160},"\"https:\u002F\u002Fopen.bigmodel.cn\u002Fapi\u002Fpaas\u002Fv4\u002F\"",[112,177,164],{"class":122},[112,179,181],{"class":114,"line":180},6,[112,182,183],{"class":122},")\n",[112,185,186],{"class":114,"line":5},[112,187,136],{"emptyLinePlaceholder":135},[112,189,190,193,195],{"class":114,"line":8},[112,191,192],{"class":122},"resp ",[112,194,145],{"class":118},[112,196,197],{"class":122}," client.chat.completions.create(\n",[112,199,201,204,206,209],{"class":114,"line":200},9,[112,202,203],{"class":154},"    model",[112,205,145],{"class":118},[112,207,208],{"class":160},"\"glm-5.2\"",[112,210,164],{"class":122},[112,212,213,216,218,222],{"class":114,"line":7},[112,214,215],{"class":154},"    temperature",[112,217,145],{"class":118},[112,219,221],{"class":220},"sj4cs","0",[112,223,164],{"class":122},[112,225,227,230,232],{"class":114,"line":226},11,[112,228,229],{"class":154},"    messages",[112,231,145],{"class":118},[112,233,234],{"class":122},"[\n",[112,236,238,241,244,247,250,253,256,258,261],{"class":114,"line":237},12,[112,239,240],{"class":122},"        {",[112,242,243],{"class":160},"\"role\"",[112,245,246],{"class":122},": ",[112,248,249],{"class":160},"\"system\"",[112,251,252],{"class":122},", ",[112,254,255],{"class":160},"\"content\"",[112,257,246],{"class":122},[112,259,260],{"class":160},"\"你是资深 Python 工程师。\"",[112,262,263],{"class":122},"},\n",[112,265,267,269,271,273,276,278,280,282,285],{"class":114,"line":266},13,[112,268,240],{"class":122},[112,270,243],{"class":160},[112,272,246],{"class":122},[112,274,275],{"class":160},"\"user\"",[112,277,252],{"class":122},[112,279,255],{"class":160},[112,281,246],{"class":122},[112,283,284],{"class":160},"\"重构以下代码...\"",[112,286,263],{"class":122},[112,288,290],{"class":114,"line":289},14,[112,291,292],{"class":122},"    ],\n",[112,294,296,299,301,304,307,310],{"class":114,"line":295},15,[112,297,298],{"class":154},"    tools",[112,300,145],{"class":118},[112,302,303],{"class":122},"[",[112,305,306],{"class":220},"...",[112,308,309],{"class":122},"],   ",[112,311,313],{"class":312},"sJ8bj","# function calling\n",[112,315,317],{"class":114,"line":316},16,[112,318,183],{"class":122},[42,320,322],{"id":321},"原生-sdkzhipuai","原生 SDK（zhipuai）",[102,324,326],{"className":104,"code":325,"language":106,"meta":107,"style":107},"from zhipuai import ZhipuAI\nclient = ZhipuAI(api_key=\"...\")\n\nresp = client.chat.completions.create(\n    model=\"glm-5.2\",\n    messages=[{\"role\": \"user\", \"content\": \"...\"}],\n    tools=[{\n        \"type\": \"web_search\",      # GLM 内置工具：联网搜索\n        \"web_search\": {\"enable\": True}\n    }],\n)\n",[109,327,328,340,358,362,370,380,406,415,431,450,455],{"__ignoreMap":107},[112,329,330,332,335,337],{"class":114,"line":115},[112,331,119],{"class":118},[112,333,334],{"class":122}," zhipuai ",[112,336,126],{"class":118},[112,338,339],{"class":122}," ZhipuAI\n",[112,341,342,344,346,349,352,354,356],{"class":114,"line":132},[112,343,142],{"class":122},[112,345,145],{"class":118},[112,347,348],{"class":122}," ZhipuAI(",[112,350,351],{"class":154},"api_key",[112,353,145],{"class":118},[112,355,161],{"class":160},[112,357,183],{"class":122},[112,359,360],{"class":114,"line":139},[112,361,136],{"emptyLinePlaceholder":135},[112,363,364,366,368],{"class":114,"line":151},[112,365,192],{"class":122},[112,367,145],{"class":118},[112,369,197],{"class":122},[112,371,372,374,376,378],{"class":114,"line":167},[112,373,203],{"class":154},[112,375,145],{"class":118},[112,377,208],{"class":160},[112,379,164],{"class":122},[112,381,382,384,386,389,391,393,395,397,399,401,403],{"class":114,"line":180},[112,383,229],{"class":154},[112,385,145],{"class":118},[112,387,388],{"class":122},"[{",[112,390,243],{"class":160},[112,392,246],{"class":122},[112,394,275],{"class":160},[112,396,252],{"class":122},[112,398,255],{"class":160},[112,400,246],{"class":122},[112,402,161],{"class":160},[112,404,405],{"class":122},"}],\n",[112,407,408,410,412],{"class":114,"line":5},[112,409,298],{"class":154},[112,411,145],{"class":118},[112,413,414],{"class":122},"[{\n",[112,416,417,420,422,425,428],{"class":114,"line":8},[112,418,419],{"class":160},"        \"type\"",[112,421,246],{"class":122},[112,423,424],{"class":160},"\"web_search\"",[112,426,427],{"class":122},",      ",[112,429,430],{"class":312},"# GLM 内置工具：联网搜索\n",[112,432,433,436,439,442,444,447],{"class":114,"line":200},[112,434,435],{"class":160},"        \"web_search\"",[112,437,438],{"class":122},": {",[112,440,441],{"class":160},"\"enable\"",[112,443,246],{"class":122},[112,445,446],{"class":220},"True",[112,448,449],{"class":122},"}\n",[112,451,452],{"class":114,"line":7},[112,453,454],{"class":122},"    }],\n",[112,456,457],{"class":114,"line":226},[112,458,183],{"class":122},[35,460,461,462,466,467,466,470,473],{},"GLM 原生 SDK 额外提供了一些 OpenAI 兼容接口里没有的能力，比如 ",[463,464,465],"strong",{},"内置联网搜索工具","、",[463,468,469],{},"code interpreter",[463,471,472],{},"glyph 图片理解","等。",[31,475,476],{"id":476},"关键参数",[478,479,480,496],"table",{},[481,482,483],"thead",{},[484,485,486,490,493],"tr",{},[487,488,489],"th",{},"参数",[487,491,492],{},"推荐",[487,494,495],{},"说明",[497,498,499,513,525,538,551],"tbody",{},[484,500,501,507,510],{},[502,503,504],"td",{},[109,505,506],{},"temperature",[502,508,509],{},"0.1-0.3",[502,511,512],{},"编程 \u002F 工具调用",[484,514,515,519,522],{},[502,516,517],{},[109,518,506],{},[502,520,521],{},"0.7",[502,523,524],{},"通用对话",[484,526,527,532,535],{},[502,528,529],{},[109,530,531],{},"top_p",[502,533,534],{},"0.7（默认）",[502,536,537],{},"不要同时调 temperature 和 top_p",[484,539,540,545,548],{},[502,541,542],{},[109,543,544],{},"max_tokens",[502,546,547],{},"显式设",[502,549,550],{},"默认值小，长输出务必调高",[484,552,553,558,560],{},[502,554,555],{},[109,556,557],{},"do_sample",[502,559,446],{},[502,561,562],{},"False 时退化为 greedy",[35,564,565,566,568,569,572,573,576,577,580],{},"注意 GLM 的 ",[109,567,506],{}," 取值范围是 ",[109,570,571],{},"[0.0, 1.0]","（不是 OpenAI 的 0-2），且 ",[463,574,575],{},"0 不允许","（要传 ",[109,578,579],{},"do_sample=False"," 才能 greedy）。",[31,582,583],{"id":583},"定价",[478,585,586,596],{},[481,587,588],{},[484,589,590,593],{},[487,591,592],{},"项目",[487,594,595],{},"价格",[497,597,598,606,614,622],{},[484,599,600,603],{},[502,601,602],{},"Input",[502,604,605],{},"¥2 \u002F 百万 token",[484,607,608,611],{},[502,609,610],{},"Output",[502,612,613],{},"¥6 \u002F 百万 token",[484,615,616,619],{},[502,617,618],{},"免费额度",[502,620,621],{},"个人开发者每月 100 万 token（Free Tier）",[484,623,624,627],{},[502,625,626],{},"企业批量优惠",[502,628,629],{},"月消费 > 10 万元有阶梯折扣",[35,631,632],{},"对比 Claude Sonnet 4（Input $3 ≈ ¥21\u002FM），GLM-5.2 的 Input 价格仅为其 1\u002F10。对于预算有限的国内开发者，性价比极高。",[31,634,635],{"id":635},"在哪些工具中可以用到",[58,637,638,644,650,656,662,668,674],{},[61,639,640,643],{},[463,641,642],{},"Trae","（字节 AI IDE）— 默认模型之一",[61,645,646,649],{},[463,647,648],{},"CodeGeeX","（智谱自家的 Copilot 插件）— 原生支持",[61,651,652,655],{},[463,653,654],{},"CodeBuddy","（腾讯 AI 编程助手）— 已接入",[61,657,658,661],{},[463,659,660],{},"Coze \u002F 元器","（Agent 平台）— 后端模型选项",[61,663,664,667],{},[463,665,666],{},"Dify"," — OpenAI 兼容接入",[61,669,670,673],{},[463,671,672],{},"Cursor"," — 通过自定义 OpenAI 兼容 API 接入（settings → models）",[61,675,676,679,680,683],{},[463,677,678],{},"Cline \u002F Continue"," — 配置 ",[109,681,682],{},"baseURL"," 即可",[31,685,686],{"id":686},"模型家族",[35,688,689],{},"智谱 GLM 系列还有几个变种：",[478,691,692,704],{},[481,693,694],{},[484,695,696,699,702],{},[487,697,698],{},"模型",[487,700,701],{},"定位",[487,703,595],{},[497,705,706,716,727,738,748],{},[484,707,708,710,713],{},[502,709,11],{},[502,711,712],{},"旗舰",[502,714,715],{},"¥2\u002F¥6",[484,717,718,721,724],{},[502,719,720],{},"GLM-5.2-Air",[502,722,723],{},"轻量快速",[502,725,726],{},"¥0.5\u002F¥1.5",[484,728,729,732,735],{},[502,730,731],{},"GLM-5.2-Long",[502,733,734],{},"1M 上下文",[502,736,737],{},"¥2.5\u002F¥7",[484,739,740,743,746],{},[502,741,742],{},"GLM-5.2-Flash",[502,744,745],{},"免费",[502,747,221],{},[484,749,750,753,756],{},[502,751,752],{},"GLM-5.2-Vision",[502,754,755],{},"多模态",[502,757,758],{},"¥3\u002F¥10",[35,760,761],{},"混搭使用：主力 GLM-5.2，简单任务降级到 Air，超长文档切换 Long，原型验证用免费的 Flash。",[31,763,764],{"id":764},"与海外模型怎么选",[478,766,767,782],{},[481,768,769],{},[484,770,771,774,776,779],{},[487,772,773],{},"维度",[487,775,11],{},[487,777,778],{},"Claude Sonnet 4",[487,780,781],{},"GPT-5",[497,783,784,797,807,820,834,848,859,871],{},[484,785,786,789,792,795],{},[502,787,788],{},"编程能力",[502,790,791],{},"★★★★☆",[502,793,794],{},"★★★★★",[502,796,791],{},[484,798,799,801,803,805],{},[502,800,50],{},[502,802,794],{},[502,804,791],{},[502,806,791],{},[484,808,809,812,815,818],{},[502,810,811],{},"国内访问",[502,813,814],{},"✅ 直连",[502,816,817],{},"❌ 需中转",[502,819,817],{},[484,821,822,825,828,831],{},[502,823,824],{},"价格（Input）",[502,826,827],{},"¥2\u002FM",[502,829,830],{},"¥21\u002FM",[502,832,833],{},"¥9\u002FM",[484,835,836,839,842,845],{},[502,837,838],{},"上下文",[502,840,841],{},"128K",[502,843,844],{},"200K",[502,846,847],{},"400K",[484,849,850,853,855,857],{},[502,851,852],{},"工具调用稳定性",[502,854,791],{},[502,856,794],{},[502,858,794],{},[484,860,861,864,867,869],{},[502,862,863],{},"生态成熟度",[502,865,866],{},"★★★☆☆",[502,868,794],{},[502,870,794],{},[484,872,873,876,879,882],{},[502,874,875],{},"合规备案",[502,877,878],{},"✅",[502,880,881],{},"❌",[502,883,881],{},[35,885,886,889],{},[463,887,888],{},"建议","：",[58,891,892,895,898],{},[61,893,894],{},"国内日常开发 \u002F 备案合规生产 → GLM-5.2 性价比最高",[61,896,897],{},"复杂 Agent \u002F 大型项目 → Claude Sonnet 4",[61,899,900],{},"多模态视频 → Gemini 2.5 Pro",[31,902,903],{"id":903},"与同档国产模型对比",[478,905,906,923],{},[481,907,908],{},[484,909,910,912,914,917,920],{},[487,911,773],{},[487,913,11],{},[487,915,916],{},"DeepSeek-V3",[487,918,919],{},"Qwen 3",[487,921,922],{},"Doubao 1.5 Pro",[497,924,925,941,956,969,985,999],{},[484,926,927,930,932,935,938],{},[502,928,929],{},"SWE-bench",[502,931,17],{},[502,933,934],{},"61.2%",[502,936,937],{},"58.4%",[502,939,940],{},"中等",[484,942,943,946,948,951,954],{},[502,944,945],{},"价格 Input",[502,947,827],{},[502,949,950],{},"¥1\u002FM",[502,952,953],{},"¥0.8\u002FM",[502,955,953],{},[484,957,958,960,962,964,966],{},[502,959,838],{},[502,961,841],{},[502,963,841],{},[502,965,841],{},[502,967,968],{},"256K",[484,970,971,974,977,980,982],{},[502,972,973],{},"编程定位",[502,975,976],{},"强",[502,978,979],{},"中强",[502,981,940],{},[502,983,984],{},"一般",[484,986,987,990,992,995,997],{},[502,988,989],{},"中文",[502,991,794],{},[502,993,994],{},"★★★★",[502,996,994],{},[502,998,994],{},[484,1000,1001,1004,1006,1009,1011],{},[502,1002,1003],{},"Agent",[502,1005,994],{},[502,1007,1008],{},"★★★",[502,1010,1008],{},[502,1012,1008],{},[31,1014,1015],{"id":1015},"避坑清单",[58,1017,1018,1030,1040,1046,1052],{},[61,1019,1020,1026,1027,1029],{},[463,1021,1022,1025],{},[109,1023,1024],{},"temperature=0"," 不支持","：要 greedy 解码必须 ",[109,1028,579],{},"，否则直接报错。",[61,1031,1032,1035,1036,1039],{},[463,1033,1034],{},"base_url 末尾的斜杠","：很多 SDK 对斜杠敏感，统一用 ",[109,1037,1038],{},"https:\u002F\u002Fopen.bigmodel.cn\u002Fapi\u002Fpaas\u002Fv4\u002F","（带尾斜杠）。",[61,1041,1042,1045],{},[463,1043,1044],{},"免费额度有用量上限","：单分钟 RPM 较低，生产场景一定要升级到付费档。",[61,1047,1048,1051],{},[463,1049,1050],{},"联网搜索工具不便宜","：每次触发 web_search 单独计费，批量使用要看清账单。",[61,1053,1054,1057,1058,1061,1062,1066],{},[463,1055,1056],{},"工具调用格式","：GLM-5.2 大体兼容 OpenAI tools 格式，但对 ",[109,1059,1060],{},"strict: true"," 模式支持不如 GPT-5，复杂 schema 建议用 ",[84,1063,1065],{"href":1064},"\u002Fwiki\u002Ffunction-calling.html#%E7%BB%93%E6%9E%84%E5%8C%96%E8%BE%93%E5%87%BA%E4%B8%8E%E6%A0%A1%E9%AA%8C","Pydantic + 二次校验","。",[31,1068,1069],{"id":1069},"延伸阅读",[58,1071,1072,1082,1091],{},[61,1073,1074,1075,1078,1079],{},"调用模式：",[84,1076,1077],{"href":86},"Function Calling"," \u002F 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