[{"data":1,"prerenderedAt":914},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"model-gemini-2.5-flash":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":881,"contextWindow":882,"description":883,"extension":884,"maxOutput":885,"meta":886,"navigation":230,"path":887,"pricing":888,"published":889,"relatedTools":890,"releaseDate":892,"seo":893,"slug":894,"stem":895,"strengths":896,"updated":889,"useCases":902,"vendor":907,"vendorEn":907,"weaknesses":908,"__hash__":913},"models\u002Fmodels\u002Fgemini-2.5-flash.md","Gemini 2.5 Flash",[13],"google",[15,18,21],{"name":16,"score":17},"HumanEval","82.4%",{"name":19,"score":20},"MMLU","78.5%",{"name":22,"score":23},"GPQA Diamond","42.8%",{"type":25,"value":26,"toc":862},"minimark",[27,31,41,44,48,135,138,142,155,158,161,164,167,171,415,424,428,431,505,508,511,514,536,539,553,556,632,635,639,646,711,718,722,725,742,745,759,763,766,774,782,785,823,826,858],[28,29,30],"h2",{"id":30},"概述",[32,33,34,35,40],"p",{},"Gemini 2.5 Flash 是 ",[36,37,39],"a",{"href":38},"\u002Fmodels\u002Fgemini-2.5-pro.html","Gemini 2.5 Pro"," 的轻量版，定位为\"极致性价比\"。Input $0.075\u002FM token——是 Claude Sonnet 4 的 1\u002F40，GPT-4o 的 1\u002F33。保留 100 万 token 上下文和多模态能力。",[28,42,43],{"id":43},"核心能力",[45,46,47],"h3",{"id":47},"全网最低价",[49,50,51,67],"table",{},[52,53,54],"thead",{},[55,56,57,61,64],"tr",{},[58,59,60],"th",{},"模型",[58,62,63],{},"Input 价格",[58,65,66],{},"对比 Flash",[68,69,70,81,91,102,113,124],"tbody",{},[55,71,72,75,78],{},[73,74,11],"td",{},[73,76,77],{},"$0.075\u002FM",[73,79,80],{},"1×",[55,82,83,85,88],{},[73,84,39],{},[73,86,87],{},"$1.25\u002FM",[73,89,90],{},"17×",[55,92,93,96,99],{},[73,94,95],{},"GPT-4o-mini",[73,97,98],{},"$0.15\u002FM",[73,100,101],{},"2×",[55,103,104,107,110],{},[73,105,106],{},"GPT-4o",[73,108,109],{},"$2.5\u002FM",[73,111,112],{},"33×",[55,114,115,118,121],{},[73,116,117],{},"Claude Haiku 4",[73,119,120],{},"$1\u002FM",[73,122,123],{},"13×",[55,125,126,129,132],{},[73,127,128],{},"Claude Sonnet 4",[73,130,131],{},"$3\u002FM",[73,133,134],{},"40×",[32,136,137],{},"100 亿 token 的 Input 费用：Flash $750，Sonnet 4 $30,000。",[45,139,141],{"id":140},"_100-万-token-上下文","100 万 token 上下文",[32,143,144,145,149,150,154],{},"与 Pro 版共享 100 万 token 上下文窗口。可以用极低成本处理超长文档、整个代码仓库。但",[146,147,148],"strong",{},"实测同样有\"中间遗忘\"问题","，超过 200K 后质量明显下降，详见 ",[36,151,153],{"href":152},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering","。",[45,156,157],{"id":157},"多模态",[32,159,160],{},"支持图片、视频、音频输入。视频理解能力继承自 Pro 版，质量略低但速度更快——适合海量视频内容审核 \u002F 打标场景。",[45,162,163],{"id":163},"速度",[32,165,166],{},"首 token 延迟 ~0.3s，流式吞吐 ~120 tok\u002Fs，是同档最快的之一。对实时聊天 \u002F 流式输出体验非常重要。",[28,168,170],{"id":169},"api-调用示例","API 调用示例",[172,173,178],"pre",{"className":174,"code":175,"language":176,"meta":177,"style":177},"language-python shiki shiki-themes github-light github-dark","from google import genai\nclient = genai.Client(api_key=\"AIza...\")\n\n# 关闭 thinking 加速（Flash 默认也开了 thinking，但对简单任务无必要）\nresp = client.models.generate_content(\n    model=\"gemini-2.5-flash\",\n    contents=\"把这段文本分类：\" + text,\n    config={\n        \"temperature\": 0,\n        \"max_output_tokens\": 100,\n        \"thinking_config\": {\"thinking_budget\": 0},   # 关掉省钱省时间\n        \"response_mime_type\": \"application\u002Fjson\",\n        \"response_schema\": {\n            \"type\": \"object\",\n            \"properties\": {\"category\": {\"type\": \"string\"}},\n        },\n    },\n)\n","python","",[179,180,181,200,225,232,239,250,264,280,290,305,317,339,352,361,374,398,404,410],"code",{"__ignoreMap":177},[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"," google ",[182,195,196],{"class":188},"import",[182,198,199],{"class":192}," genai\n",[182,201,203,206,209,212,216,218,222],{"class":184,"line":202},2,[182,204,205],{"class":192},"client ",[182,207,208],{"class":188},"=",[182,210,211],{"class":192}," genai.Client(",[182,213,215],{"class":214},"s4XuR","api_key",[182,217,208],{"class":188},[182,219,221],{"class":220},"sZZnC","\"AIza...\"",[182,223,224],{"class":192},")\n",[182,226,228],{"class":184,"line":227},3,[182,229,231],{"emptyLinePlaceholder":230},true,"\n",[182,233,235],{"class":184,"line":234},4,[182,236,238],{"class":237},"sJ8bj","# 关闭 thinking 加速（Flash 默认也开了 thinking，但对简单任务无必要）\n",[182,240,242,245,247],{"class":184,"line":241},5,[182,243,244],{"class":192},"resp ",[182,246,208],{"class":188},[182,248,249],{"class":192}," client.models.generate_content(\n",[182,251,253,256,258,261],{"class":184,"line":252},6,[182,254,255],{"class":214},"    model",[182,257,208],{"class":188},[182,259,260],{"class":220},"\"gemini-2.5-flash\"",[182,262,263],{"class":192},",\n",[182,265,266,269,271,274,277],{"class":184,"line":5},[182,267,268],{"class":214},"    contents",[182,270,208],{"class":188},[182,272,273],{"class":220},"\"把这段文本分类：\"",[182,275,276],{"class":188}," +",[182,278,279],{"class":192}," text,\n",[182,281,282,285,287],{"class":184,"line":8},[182,283,284],{"class":214},"    config",[182,286,208],{"class":188},[182,288,289],{"class":192},"{\n",[182,291,293,296,299,303],{"class":184,"line":292},9,[182,294,295],{"class":220},"        \"temperature\"",[182,297,298],{"class":192},": ",[182,300,302],{"class":301},"sj4cs","0",[182,304,263],{"class":192},[182,306,307,310,312,315],{"class":184,"line":7},[182,308,309],{"class":220},"        \"max_output_tokens\"",[182,311,298],{"class":192},[182,313,314],{"class":301},"100",[182,316,263],{"class":192},[182,318,320,323,326,329,331,333,336],{"class":184,"line":319},11,[182,321,322],{"class":220},"        \"thinking_config\"",[182,324,325],{"class":192},": {",[182,327,328],{"class":220},"\"thinking_budget\"",[182,330,298],{"class":192},[182,332,302],{"class":301},[182,334,335],{"class":192},"},   ",[182,337,338],{"class":237},"# 关掉省钱省时间\n",[182,340,342,345,347,350],{"class":184,"line":341},12,[182,343,344],{"class":220},"        \"response_mime_type\"",[182,346,298],{"class":192},[182,348,349],{"class":220},"\"application\u002Fjson\"",[182,351,263],{"class":192},[182,353,355,358],{"class":184,"line":354},13,[182,356,357],{"class":220},"        \"response_schema\"",[182,359,360],{"class":192},": {\n",[182,362,364,367,369,372],{"class":184,"line":363},14,[182,365,366],{"class":220},"            \"type\"",[182,368,298],{"class":192},[182,370,371],{"class":220},"\"object\"",[182,373,263],{"class":192},[182,375,377,380,382,385,387,390,392,395],{"class":184,"line":376},15,[182,378,379],{"class":220},"            \"properties\"",[182,381,325],{"class":192},[182,383,384],{"class":220},"\"category\"",[182,386,325],{"class":192},[182,388,389],{"class":220},"\"type\"",[182,391,298],{"class":192},[182,393,394],{"class":220},"\"string\"",[182,396,397],{"class":192},"}},\n",[182,399,401],{"class":184,"line":400},16,[182,402,403],{"class":192},"        },\n",[182,405,407],{"class":184,"line":406},17,[182,408,409],{"class":192},"    },\n",[182,411,413],{"class":184,"line":412},18,[182,414,224],{"class":192},[32,416,417,423],{},[146,418,419,422],{},[179,420,421],{},"thinking_budget=0"," 是 Flash 的重要省钱开关","——批量分类、抽取这种\"无脑活\"完全不需要推理，关掉后速度 +30%、token -20%。",[45,425,427],{"id":426},"batch-api","Batch API",[32,429,430],{},"Gemini Batch API 提供 -50% 折扣（Flash Input 直接砍到 $0.0375\u002FM），24 小时内出结果：",[172,432,434],{"className":174,"code":433,"language":176,"meta":177,"style":177},"batch = client.batches.create(\n    model=\"gemini-2.5-flash\",\n    requests=[\n        {\"contents\": \"分类：\" + t} for t in texts\n    ],\n)\n",[179,435,436,446,456,466,496,501],{"__ignoreMap":177},[182,437,438,441,443],{"class":184,"line":185},[182,439,440],{"class":192},"batch ",[182,442,208],{"class":188},[182,444,445],{"class":192}," client.batches.create(\n",[182,447,448,450,452,454],{"class":184,"line":202},[182,449,255],{"class":214},[182,451,208],{"class":188},[182,453,260],{"class":220},[182,455,263],{"class":192},[182,457,458,461,463],{"class":184,"line":227},[182,459,460],{"class":214},"    requests",[182,462,208],{"class":188},[182,464,465],{"class":192},"[\n",[182,467,468,471,474,476,479,481,484,487,490,493],{"class":184,"line":234},[182,469,470],{"class":192},"        {",[182,472,473],{"class":220},"\"contents\"",[182,475,298],{"class":192},[182,477,478],{"class":220},"\"分类：\"",[182,480,276],{"class":188},[182,482,483],{"class":192}," t} ",[182,485,486],{"class":188},"for",[182,488,489],{"class":192}," t ",[182,491,492],{"class":188},"in",[182,494,495],{"class":192}," texts\n",[182,497,498],{"class":184,"line":241},[182,499,500],{"class":192},"    ],\n",[182,502,503],{"class":184,"line":252},[182,504,224],{"class":192},[32,506,507],{},"万级离线任务的成本基本可以忽略不计。",[28,509,510],{"id":510},"实际表现",[32,512,513],{},"Flash 保留约 Pro 85% 的能力。在以下场景表现优秀：",[515,516,517,521,524,527,530,533],"ul",{},[518,519,520],"li",{},"文本分类、情感分析",[518,522,523],{},"文档摘要、信息抽取",[518,525,526],{},"简单问答、FAQ",[518,528,529],{},"代码补全（简单场景）",[518,531,532],{},"视频内容打标 \u002F 审核",[518,534,535],{},"多语言翻译",[32,537,538],{},"以下场景建议用 Pro：",[515,540,541,544,547,550],{},[518,542,543],{},"复杂推理 \u002F 数学",[518,545,546],{},"精确编程 \u002F 多文件改写",[518,548,549],{},"需要深度分析的长文档",[518,551,552],{},"法律 \u002F 医疗等严格场景",[28,554,555],{"id":555},"典型用量成本",[49,557,558,574],{},[52,559,560],{},[55,561,562,565,568,571],{},[58,563,564],{},"场景",[58,566,567],{},"日用量",[58,569,570],{},"Flash 月成本",[58,572,573],{},"Sonnet 4 月成本",[68,575,576,590,604,618],{},[55,577,578,581,584,587],{},[73,579,580],{},"客服 Bot（1 万次\u002F天）",[73,582,583],{},"~500M Input + 100M Output",[73,585,586],{},"~$2.3",[73,588,589],{},"~$95",[55,591,592,595,598,601],{},[73,593,594],{},"文档摘要（1 万篇\u002F天）",[73,596,597],{},"~2B Input + 200M Output",[73,599,600],{},"~$6.3",[73,602,603],{},"~$270",[55,605,606,609,612,615],{},[73,607,608],{},"实时翻译",[73,610,611],{},"~10B Input + 10B Output",[73,613,614],{},"~$112",[73,616,617],{},"~$5,400",[55,619,620,623,626,629],{},[73,621,622],{},"内容审核（10 万条\u002F天）",[73,624,625],{},"~3B Input + 30M Output",[73,627,628],{},"~$7.1",[73,630,631],{},"~$285",[32,633,634],{},"用 Claude Sonnet 4 做同样的事，成本是 40 倍——很多生意做不起来。",[28,636,638],{"id":637},"flash-vs-flash-lite","Flash vs Flash-Lite",[32,640,641,642,645],{},"Google 还有更轻的 ",[179,643,644],{},"gemini-2.5-flash-lite","：",[49,647,648,661],{},[52,649,650],{},[55,651,652,655,658],{},[58,653,654],{},"维度",[58,656,657],{},"Flash",[58,659,660],{},"Flash-Lite",[68,662,663,673,683,693,702],{},[55,664,665,668,670],{},[73,666,667],{},"Input",[73,669,77],{},[73,671,672],{},"$0.0375\u002FM",[55,674,675,678,681],{},[73,676,677],{},"Output",[73,679,680],{},"$0.30\u002FM",[73,682,98],{},[55,684,685,688,691],{},[73,686,687],{},"上下文",[73,689,690],{},"1M",[73,692,690],{},[55,694,695,697,699],{},[73,696,19],{},[73,698,20],{},[73,700,701],{},"~73%",[55,703,704,706,709],{},[73,705,163],{},[73,707,708],{},"★★★★★",[73,710,708],{},[32,712,713,714,717],{},"Flash-Lite 适合",[146,715,716],{},"极端高吞吐","场景（百亿级 token \u002F 月）。但能力差距明显，能用 Flash 就别用 Lite。",[28,719,721],{"id":720},"适合-不适合","适合 \u002F 不适合",[32,723,724],{},"✅ 适合：",[515,726,727,730,733,736,739],{},[518,728,729],{},"内容分类 \u002F 情感分析 \u002F 关键词抽取",[518,731,732],{},"客服 Bot 第一线（复杂问题升级到 Pro）",[518,734,735],{},"海量文档摘要 \u002F 知识库构建",[518,737,738],{},"视频审核 \u002F 直播切片打标",[518,740,741],{},"离线 batch 数据清洗",[32,743,744],{},"❌ 不适合：",[515,746,747,750,753,756],{},[518,748,749],{},"AI 编程主力（SWE-bench 表现差）",[518,751,752],{},"复杂 Agent 多步推理（工具调用稳定性不够）",[518,754,755],{},"法律 \u002F 医疗严格场景（拒答率低，幻觉风险）",[518,757,758],{},"长文创意写作（输出质量明显不如 Sonnet\u002FOpus）",[28,760,762],{"id":761},"实战分层路由模式","实战：分层路由模式",[32,764,765],{},"很多生产系统用 Flash + Pro\u002FSonnet 双模型分层：",[172,767,772],{"className":768,"code":770,"language":771},[769],"language-text","用户请求\n  │\n  ├─ [Flash 路由器] 快速判断任务复杂度\n  │     ├─ 简单（80%） → Flash 直接回答\n  │     └─ 复杂（20%） → 转 Pro \u002F Claude Sonnet 4\n  │\n  └─ 综合：均价低、用户体验不打折\n","text",[179,773,770],{"__ignoreMap":177},[32,775,776,777,781],{},"实际可能：80% 流量走 Flash（",[778,779,780],"del",{},"$0.1\u002F万条），20% 走 Sonnet 4（","$10\u002F万条），均价 $2\u002F万条——比纯 Sonnet 4 便宜 5 倍。",[28,783,784],{"id":784},"避坑清单",[515,786,787,796,805,811,817],{},[518,788,789,795],{},[146,790,791,794],{},[179,792,793],{},"thinking_budget"," 默认非 0","：Flash 也会\"想一会儿\"，简单任务必须显式关掉。",[518,797,798,645,801,804],{},[146,799,800],{},"JSON 输出务必带 schema",[179,802,803],{},"response_mime_type=application\u002Fjson"," 单独用不够强约束。",[518,806,807,810],{},[146,808,809],{},"多语言慎重","：英文中文表现 OK，小语种（日韩阿拉伯等）质量明显不如 Pro。",[518,812,813,816],{},[146,814,815],{},"视频不要超过 1 小时","：尽管 1M 上下文支持，但长视频\"中间遗忘\"严重，建议切片处理。",[518,818,819,822],{},[146,820,821],{},"国内访问","：和 Pro 一样需中转，OpenRouter 或自建 Cloudflare Workers。",[28,824,825],{"id":825},"延伸阅读",[515,827,828,833,844,851],{},[518,829,830,831],{},"上位旗舰：",[36,832,39],{"href":38},[518,834,835,836,839,840],{},"同档对比：",[36,837,117],{"href":838},"\u002Fmodels\u002Fclaude-haiku-4.html"," \u002F ",[36,841,843],{"href":842},"\u002Fmodels\u002Fdeepseek-v3.html","DeepSeek-V3",[518,845,846,847],{},"成本控制：",[36,848,850],{"href":849},"\u002Fwiki\u002Ftoken.html","Token",[518,852,853,854],{},"分层架构：",[36,855,857],{"href":856},"\u002Fwiki\u002Fai-agent.html","AI Agent",[859,860,861],"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 .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: 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