[{"data":1,"prerenderedAt":1017},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"model-kimi-k2":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":24,"category":983,"contextWindow":984,"description":985,"extension":986,"maxOutput":987,"meta":988,"navigation":205,"path":989,"pricing":990,"published":991,"relatedTools":992,"releaseDate":994,"seo":995,"slug":996,"stem":997,"strengths":998,"updated":991,"useCases":1004,"vendor":1009,"vendorEn":1010,"weaknesses":1011,"__hash__":1016},"models\u002Fmodels\u002Fkimi-k2.md","Kimi K2",[13],"openai",[15,18,21],{"name":16,"score":17},"HumanEval","82.6%",{"name":19,"score":20},"MMLU","82.1%",{"name":22,"score":23},"CMMLU","89.4%",{"type":25,"value":26,"toc":965},"minimark",[27,31,35,38,42,45,61,64,67,81,133,145,148,151,165,169,172,362,366,369,529,532,535,604,610,613,658,675,678,681,695,698,702,822,827,841,845,848,868,871,885,888,929,932,961],[28,29,30],"h2",{"id":30},"概述",[32,33,34],"p",{},"Kimi K2 是月之暗面（Moonshot AI）于 2025 年 10 月发布的旗舰模型。Kimi 以超长文本处理能力起家——网页版长期以\"200 万字上下文\"为卖点出圈，K2 继续强化这一优势，在中文长文档分析场景中表现突出。",[28,36,37],{"id":37},"核心能力",[39,40,41],"h3",{"id":41},"超长文本处理",[32,43,44],{},"Kimi 的传统强项。可以处理：",[46,47,48,52,55,58],"ul",{},[49,50,51],"li",{},"200 万字中文长文（约 300 页）",[49,53,54],{},"整本学术著作",[49,56,57],{},"完整的法律卷宗",[49,59,60],{},"多份财报对比分析",[32,62,63],{},"在长文本理解的准确性和连贯性上，K2 在国产模型中名列前茅。月之暗面在长文场景的工程优化（chunking strategy、attention pattern）做得很扎实，比单纯堆上下文窗口的厂商质量更稳。",[39,65,66],{"id":66},"联网搜索",[32,68,69,70,74,75,80],{},"Kimi 网页版",[71,72,73],"strong",{},"默认带联网搜索","——回答问题时会先搜索最新信息，然后基于搜索结果生成回答。这解决了大模型知识截止的问题，相当于内置 ",[76,77,79],"a",{"href":78},"\u002Fwiki\u002Frag.html","RAG","：",[82,83,84,97],"table",{},[85,86,87],"thead",{},[88,89,90,94],"tr",{},[91,92,93],"th",{},"流程",[91,95,96],{},"说明",[98,99,100,109,117,125],"tbody",{},[88,101,102,106],{},[103,104,105],"td",{},"1. 用户提问",[103,107,108],{},"\"今天上海股市怎么样\"",[88,110,111,114],{},[103,112,113],{},"2. Kimi 触发搜索",[103,115,116],{},"调用搜索引擎获取最新新闻",[88,118,119,122],{},[103,120,121],{},"3. 抽取关键段落",[103,123,124],{},"选 Top-K 段落作为上下文",[88,126,127,130],{},[103,128,129],{},"4. 生成回答",[103,131,132],{},"基于搜索结果回答 + 标注来源",[32,134,135,136,140,141,144],{},"API 端通过 ",[137,138,139],"code",{},"tools"," 字段开启 ",[137,142,143],{},"$web_search"," 工具调用即可。",[39,146,147],{"id":147},"中文理解",[32,149,150],{},"CMMLU 89.4%，中文场景下的理解力和表达力优秀。特别适合：",[46,152,153,156,159,162],{},[49,154,155],{},"中文合同条款分析",[49,157,158],{},"中文学术论文阅读",[49,160,161],{},"中文法律文书理解",[49,163,164],{},"古文 \u002F 文学作品分析",[28,166,168],{"id":167},"api-调用示例","API 调用示例",[32,170,171],{},"Kimi 提供 OpenAI 兼容 API：",[173,174,179],"pre",{"className":175,"code":176,"language":177,"meta":178,"style":178},"language-python shiki shiki-themes github-light github-dark","from openai import OpenAI\n\nclient = OpenAI(\n    api_key=\"sk-...\",\n    base_url=\"https:\u002F\u002Fapi.moonshot.cn\u002Fv1\",\n)\n\nresp = client.chat.completions.create(\n    model=\"moonshot-v1-128k\",     # K2 旗舰\n    temperature=0.3,\n    messages=[\n        {\"role\": \"user\", \"content\": LONG_CONTRACT + \"\\n\\n找出风险点\"}\n    ],\n)\n","python","",[137,180,181,200,207,219,235,248,254,258,268,286,299,310,351,357],{"__ignoreMap":178},[182,183,186,190,194,197],"span",{"class":184,"line":185},"line",1,[182,187,189],{"class":188},"szBVR","from",[182,191,193],{"class":192},"sVt8B"," openai ",[182,195,196],{"class":188},"import",[182,198,199],{"class":192}," OpenAI\n",[182,201,203],{"class":184,"line":202},2,[182,204,206],{"emptyLinePlaceholder":205},true,"\n",[182,208,210,213,216],{"class":184,"line":209},3,[182,211,212],{"class":192},"client ",[182,214,215],{"class":188},"=",[182,217,218],{"class":192}," OpenAI(\n",[182,220,222,226,228,232],{"class":184,"line":221},4,[182,223,225],{"class":224},"s4XuR","    api_key",[182,227,215],{"class":188},[182,229,231],{"class":230},"sZZnC","\"sk-...\"",[182,233,234],{"class":192},",\n",[182,236,238,241,243,246],{"class":184,"line":237},5,[182,239,240],{"class":224},"    base_url",[182,242,215],{"class":188},[182,244,245],{"class":230},"\"https:\u002F\u002Fapi.moonshot.cn\u002Fv1\"",[182,247,234],{"class":192},[182,249,251],{"class":184,"line":250},6,[182,252,253],{"class":192},")\n",[182,255,256],{"class":184,"line":5},[182,257,206],{"emptyLinePlaceholder":205},[182,259,260,263,265],{"class":184,"line":8},[182,261,262],{"class":192},"resp ",[182,264,215],{"class":188},[182,266,267],{"class":192}," client.chat.completions.create(\n",[182,269,271,274,276,279,282],{"class":184,"line":270},9,[182,272,273],{"class":224},"    model",[182,275,215],{"class":188},[182,277,278],{"class":230},"\"moonshot-v1-128k\"",[182,280,281],{"class":192},",     ",[182,283,285],{"class":284},"sJ8bj","# K2 旗舰\n",[182,287,288,291,293,297],{"class":184,"line":7},[182,289,290],{"class":224},"    temperature",[182,292,215],{"class":188},[182,294,296],{"class":295},"sj4cs","0.3",[182,298,234],{"class":192},[182,300,302,305,307],{"class":184,"line":301},11,[182,303,304],{"class":224},"    messages",[182,306,215],{"class":188},[182,308,309],{"class":192},"[\n",[182,311,313,316,319,322,325,328,331,333,336,339,342,345,348],{"class":184,"line":312},12,[182,314,315],{"class":192},"        {",[182,317,318],{"class":230},"\"role\"",[182,320,321],{"class":192},": ",[182,323,324],{"class":230},"\"user\"",[182,326,327],{"class":192},", ",[182,329,330],{"class":230},"\"content\"",[182,332,321],{"class":192},[182,334,335],{"class":295},"LONG_CONTRACT",[182,337,338],{"class":188}," +",[182,340,341],{"class":230}," \"",[182,343,344],{"class":295},"\\n\\n",[182,346,347],{"class":230},"找出风险点\"",[182,349,350],{"class":192},"}\n",[182,352,354],{"class":184,"line":353},13,[182,355,356],{"class":192},"    ],\n",[182,358,360],{"class":184,"line":359},14,[182,361,253],{"class":192},[39,363,365],{"id":364},"文件直传独有特性","文件直传（独有特性）",[32,367,368],{},"Kimi 提供文件上传接口，可以把整份 PDF \u002F Word \u002F 长文档直接上传，无需自己做 OCR \u002F 解析：",[173,370,372],{"className":175,"code":371,"language":177,"meta":178,"style":178},"file = client.files.create(\n    file=open(\"contract.pdf\", \"rb\"),\n    purpose=\"file-extract\",\n)\ncontent = client.files.content(file_id=file.id).text   # 返回提取后的文本\n\nresp = client.chat.completions.create(\n    model=\"moonshot-v1-128k\",\n    messages=[\n        {\"role\": \"system\", \"content\": content},        # 文件内容作为 system\n        {\"role\": \"user\", \"content\": \"总结要点\"},\n    ],\n)\n",[137,373,374,385,409,421,425,448,452,460,470,478,499,521,525],{"__ignoreMap":178},[182,375,376,379,382],{"class":184,"line":185},[182,377,378],{"class":224},"file",[182,380,381],{"class":188}," =",[182,383,384],{"class":192}," client.files.create(\n",[182,386,387,390,392,395,398,401,403,406],{"class":184,"line":202},[182,388,389],{"class":224},"    file",[182,391,215],{"class":188},[182,393,394],{"class":295},"open",[182,396,397],{"class":192},"(",[182,399,400],{"class":230},"\"contract.pdf\"",[182,402,327],{"class":192},[182,404,405],{"class":230},"\"rb\"",[182,407,408],{"class":192},"),\n",[182,410,411,414,416,419],{"class":184,"line":209},[182,412,413],{"class":224},"    purpose",[182,415,215],{"class":188},[182,417,418],{"class":230},"\"file-extract\"",[182,420,234],{"class":192},[182,422,423],{"class":184,"line":221},[182,424,253],{"class":192},[182,426,427,430,432,435,438,440,442,445],{"class":184,"line":237},[182,428,429],{"class":192},"content ",[182,431,215],{"class":188},[182,433,434],{"class":192}," client.files.content(",[182,436,437],{"class":224},"file_id",[182,439,215],{"class":188},[182,441,378],{"class":224},[182,443,444],{"class":192},".id).text   ",[182,446,447],{"class":284},"# 返回提取后的文本\n",[182,449,450],{"class":184,"line":250},[182,451,206],{"emptyLinePlaceholder":205},[182,453,454,456,458],{"class":184,"line":5},[182,455,262],{"class":192},[182,457,215],{"class":188},[182,459,267],{"class":192},[182,461,462,464,466,468],{"class":184,"line":8},[182,463,273],{"class":224},[182,465,215],{"class":188},[182,467,278],{"class":230},[182,469,234],{"class":192},[182,471,472,474,476],{"class":184,"line":270},[182,473,304],{"class":224},[182,475,215],{"class":188},[182,477,309],{"class":192},[182,479,480,482,484,486,489,491,493,496],{"class":184,"line":7},[182,481,315],{"class":192},[182,483,318],{"class":230},[182,485,321],{"class":192},[182,487,488],{"class":230},"\"system\"",[182,490,327],{"class":192},[182,492,330],{"class":230},[182,494,495],{"class":192},": content},        ",[182,497,498],{"class":284},"# 文件内容作为 system\n",[182,500,501,503,505,507,509,511,513,515,518],{"class":184,"line":301},[182,502,315],{"class":192},[182,504,318],{"class":230},[182,506,321],{"class":192},[182,508,324],{"class":230},[182,510,327],{"class":192},[182,512,330],{"class":230},[182,514,321],{"class":192},[182,516,517],{"class":230},"\"总结要点\"",[182,519,520],{"class":192},"},\n",[182,522,523],{"class":184,"line":312},[182,524,356],{"class":192},[182,526,527],{"class":184,"line":353},[182,528,253],{"class":192},[32,530,531],{},"这是国内模型里少数提供\"上传文件直接对话\"的，对法律 \u002F 学术场景非常实用。",[39,533,534],{"id":534},"模型变种",[82,536,537,550],{},[85,538,539],{},[88,540,541,544,547],{},[91,542,543],{},"模型",[91,545,546],{},"上下文",[91,548,549],{},"价格",[98,551,552,565,578,591],{},[88,553,554,559,562],{},[103,555,556],{},[137,557,558],{},"moonshot-v1-8k",[103,560,561],{},"8K",[103,563,564],{},"¥12\u002FM Input",[88,566,567,572,575],{},[103,568,569],{},[137,570,571],{},"moonshot-v1-32k",[103,573,574],{},"32K",[103,576,577],{},"¥24\u002FM Input",[88,579,580,585,588],{},[103,581,582],{},[137,583,584],{},"moonshot-v1-128k",[103,586,587],{},"128K",[103,589,590],{},"¥60\u002FM Input",[88,592,593,598,601],{},[103,594,595],{},[137,596,597],{},"kimi-k2-0905-preview",[103,599,600],{},"256K",[103,602,603],{},"¥4\u002FM Input",[32,605,606,607,609],{},"新版 K2 系列降价显著，是性价比首选。",[137,608,584],{}," 老模型贵但稳定。",[28,611,612],{"id":612},"定价",[82,614,615,624],{},[85,616,617],{},[88,618,619,622],{},[91,620,621],{},"项目",[91,623,549],{},[98,625,626,634,642,650],{},[88,627,628,631],{},[103,629,630],{},"K2 Input",[103,632,633],{},"¥4 \u002F 百万 token",[88,635,636,639],{},[103,637,638],{},"K2 Output",[103,640,641],{},"¥12 \u002F 百万 token",[88,643,644,647],{},[103,645,646],{},"文件解析",[103,648,649],{},"按文件大小计费",[88,651,652,655],{},[103,653,654],{},"网页版",[103,656,657],{},"免费（带速率限制）",[32,659,660,661,665,666,670,671,674],{},"API 价格高于 ",[76,662,664],{"href":663},"\u002Fmodels\u002Fglm-5.2.html","GLM-5.2","（¥2\u002FM）和 ",[76,667,669],{"href":668},"\u002Fmodels\u002Fdeepseek-v3.html","DeepSeek-V3","（¥1\u002FM），但",[71,672,673],{},"网页版完全免费","是一大杀手锏——团队成员可以直接在 kimi.com 上传文档对话，零成本。",[28,676,677],{"id":677},"网页版的隐形优势",[32,679,680],{},"Kimi 网页版的免费策略让它成为很多团队的\"首选试水模型\"：",[46,682,683,686,689,692],{},[49,684,685],{},"产品经理直接拖文档分析需求",[49,687,688],{},"法务直接上传合同找风险",[49,690,691],{},"学生写论文做综述",[49,693,694],{},"程序员临时分析一份 log",[32,696,697],{},"很多企业最初接触 AI 就是从 Kimi 开始。但要进生产环境就要切到付费 API。",[28,699,701],{"id":700},"kimi-vs-其他国产模型","Kimi vs 其他国产模型",[82,703,704,720],{},[85,705,706],{},[88,707,708,711,713,715,717],{},[91,709,710],{},"维度",[91,712,11],{},[91,714,664],{},[91,716,669],{},[91,718,719],{},"Qwen 3",[98,721,722,737,751,763,779,792,805],{},[88,723,724,727,730,733,735],{},[103,725,726],{},"长文本",[103,728,729],{},"★★★★★",[103,731,732],{},"★★★☆☆",[103,734,732],{},[103,736,732],{},[88,738,739,742,744,747,749],{},[103,740,741],{},"编程",[103,743,732],{},[103,745,746],{},"★★★★☆",[103,748,746],{},[103,750,732],{},[88,752,753,755,757,759,761],{},[103,754,147],{},[103,756,729],{},[103,758,729],{},[103,760,746],{},[103,762,746],{},[88,764,765,767,770,773,776],{},[103,766,66],{},[103,768,769],{},"✅ 内置",[103,771,772],{},"✅ 工具",[103,774,775],{},"❌",[103,777,778],{},"✅",[88,780,781,784,786,788,790],{},[103,782,783],{},"文件直传",[103,785,778],{},[103,787,775],{},[103,789,775],{},[103,791,775],{},[88,793,794,797,799,801,803],{},[103,795,796],{},"网页版免费",[103,798,778],{},[103,800,778],{},[103,802,778],{},[103,804,778],{},[88,806,807,810,813,816,819],{},[103,808,809],{},"API 价格",[103,811,812],{},"¥4\u002F¥12",[103,814,815],{},"¥2\u002F¥6",[103,817,818],{},"¥1\u002F¥2",[103,820,821],{},"¥0.8\u002F¥2",[32,823,824,80],{},[71,825,826],{},"建议",[46,828,829,832,835,838],{},[49,830,831],{},"长文档分析 \u002F 文件直传 → Kimi K2",[49,833,834],{},"编程 → GLM-5.2 \u002F DeepSeek-V3",[49,836,837],{},"低成本批量 → DeepSeek-V3 \u002F Qwen 3",[49,839,840],{},"多语言 → Qwen 3",[28,842,844],{"id":843},"适合-不适合","适合 \u002F 不适合",[32,846,847],{},"✅ 适合：",[46,849,850,853,856,859,862,865],{},[49,851,852],{},"法律文书 \u002F 合同分析",[49,854,855],{},"学术论文阅读 \u002F 综述",[49,857,858],{},"财报 \u002F 招股书分析",[49,860,861],{},"多文档对比 \u002F 综合",[49,863,864],{},"联网搜索 + 实时问答",[49,866,867],{},"文件直接上传场景",[32,869,870],{},"❌ 不适合：",[46,872,873,876,879,882],{},[49,874,875],{},"AI 编程主力（HumanEval \u002F SWE-bench 不行）",[49,877,878],{},"Agent 复杂工具调用",[49,880,881],{},"实时聊天（速度一般）",[49,883,884],{},"极致低成本场景（V3 \u002F Qwen 更便宜）",[28,886,887],{"id":887},"避坑清单",[46,889,890,896,908,917,923],{},[49,891,892,895],{},[71,893,894],{},"8K 输出限制","：长文本输入虽然支持 128K-256K，但 output 仍 8K。长报告生成要分段。",[49,897,898,903,904,907],{},[71,899,900,902],{},[137,901,584],{}," 价格高","：60\u002F180 价格远超新版 K2（4\u002F12）。务必用新版 ",[137,905,906],{},"kimi-k2-*-preview","。",[49,909,910,913,914,916],{},[71,911,912],{},"联网搜索单独计费","：每次调用 ",[137,915,143],{}," 工具计费，批量任务要关注账单。",[49,918,919,922],{},[71,920,921],{},"文件解析有大小上限","：单文件 100MB，超长卷宗需要分块上传。",[49,924,925,928],{},[71,926,927],{},"没有 batch API","：大批量离线场景不如 DeepSeek-V3。",[28,930,931],{"id":931},"延伸阅读",[46,933,934,941,949,954],{},[49,935,936,937],{},"长文本相关：",[76,938,940],{"href":939},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering",[49,942,943,944,946,947],{},"同档国产：",[76,945,664],{"href":663}," \u002F ",[76,948,669],{"href":668},[49,950,951,952],{},"联网搜索原理：",[76,953,79],{"href":78},[49,955,956,957],{},"检索增强：",[76,958,960],{"href":959},"\u002Fwiki\u002Fembedding.html","Embedding",[962,963,964],"style",{},"html pre.shiki code .szBVR, html code.shiki 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