[{"data":1,"prerenderedAt":515},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"model-gemini-3-pro":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":35,"category":479,"contextWindow":480,"description":481,"extension":482,"maxOutput":483,"meta":484,"navigation":148,"path":485,"pricing":486,"published":487,"relatedTools":488,"releaseDate":492,"seo":493,"slug":494,"stem":495,"strengths":496,"updated":487,"useCases":502,"vendor":507,"vendorEn":508,"weaknesses":509,"__hash__":514},"models\u002Fmodels\u002Fgemini-3-pro.md","Gemini 3 Pro",[13,14,15],"gemini","vertex-ai","openai",[17,20,23,26,29,32],{"name":18,"score":19},"LMArena","1501 Elo",{"name":21,"score":22},"GPQA Diamond","91.9%",{"name":24,"score":25},"Humanity's Last Exam","37.5%",{"name":27,"score":28},"SWE-bench Verified","76.2%",{"name":30,"score":31},"Terminal-Bench 2.0","54.2%",{"name":33,"score":34},"WebDev Arena","1487 Elo",{"type":36,"value":37,"toc":465},"minimark",[38,42,52,55,59,67,71,74,87,91,103,107,110,114,257,263,266,302,308,311,395,405,408,434,437,461],[39,40,41],"h2",{"id":41},"概述",[43,44,45,46,51],"p",{},"Gemini 3 Pro 是 Google 于 2025 年 11 月 18 日发布的最强模型，相比 ",[47,48,50],"a",{"href":49},"\u002Fmodels\u002Fgemini-2.5-pro.html","Gemini 2.5 Pro"," 在推理、多模态和 agentic 能力上全面跃升。发布即在 LMArena 以 1501 Elo 登顶，被 Google 定位为「思维伙伴」——能用更少的提示理解深层意图。同步推出的 agent 开发平台 Google Antigravity 让 Gemini 3 Pro 直接驱动编辑器、终端和浏览器。",[39,53,54],{"id":54},"核心能力",[56,57,58],"h3",{"id":58},"顶级推理",[43,60,61,62,66],{},"GPQA Diamond（博士级科学推理）拿到 91.9%，远超 ",[47,63,65],{"href":64},"\u002Fmodels\u002Fgpt-5.html","GPT-5"," 一代。Humanity's Last Exam 37.5%（无工具）。配套的 Deep Think 模式进一步把 GPQA 推到 93.8%、ARC-AGI-2 推到 45.1%，但仅对 Google AI Ultra 订阅者开放。",[56,68,70],{"id":69},"_1m-多模态上下文","1M 多模态上下文",[43,72,73],{},"1M token 上下文 + 原生多模态，可同时理解文本、图片、音频、视频和代码。典型用法：",[75,76,77,81,84],"ul",{},[78,79,80],"li",{},"把整段教学视频喂进去做专家级分析（Video-MMMU 87.6%）",[78,82,83],{},"手写食谱照片转结构化菜谱",[78,85,86],{},"学术论文一键生成交互式记忆卡片",[56,88,90],{"id":89},"vibe-coding","Vibe Coding",[43,92,93,94,98,99,102],{},"零样本生成富交互 Web UI 是 Gemini 3 Pro 的招牌能力，WebDev Arena 拿到 1487 Elo。配合 ",[47,95,97],{"href":96},"\u002Fcoding\u002Fcli\u002Fgemini-cli.html","Gemini CLI"," 或 Antigravity，从一句话需求到可运行前端的链路极短。关于 vibe coding 的方法论见 ",[47,100,90],{"href":101},"\u002Fwiki\u002Fvibe-coding.html","。",[56,104,106],{"id":105},"长程-agent","长程 Agent",[43,108,109],{},"在 Vending-Bench 2（模拟经营一家自动售货机生意一整年）上登顶，证明它能维持长周期目标不漂移。Terminal-Bench 2.0 拿到 54.2%，终端操作能力强。",[39,111,113],{"id":112},"api-调用示例","API 调用示例",[115,116,121],"pre",{"className":117,"code":118,"language":119,"meta":120,"style":120},"language-python shiki shiki-themes github-light github-dark","from google import genai\n\nclient = genai.Client(api_key=\"...\")\nresp = client.models.generate_content(\n    model=\"gemini-3-pro\",\n    contents=\"分析这段代码的性能瓶颈并给出优化方案\",\n    config={\"thinking_config\": {\"thinking_level\": \"high\"}},\n)\nprint(resp.text)\n","python","",[122,123,124,143,150,175,186,200,213,242,247],"code",{"__ignoreMap":120},[125,126,129,133,137,140],"span",{"class":127,"line":128},"line",1,[125,130,132],{"class":131},"szBVR","from",[125,134,136],{"class":135},"sVt8B"," google ",[125,138,139],{"class":131},"import",[125,141,142],{"class":135}," genai\n",[125,144,146],{"class":127,"line":145},2,[125,147,149],{"emptyLinePlaceholder":148},true,"\n",[125,151,153,156,159,162,166,168,172],{"class":127,"line":152},3,[125,154,155],{"class":135},"client ",[125,157,158],{"class":131},"=",[125,160,161],{"class":135}," genai.Client(",[125,163,165],{"class":164},"s4XuR","api_key",[125,167,158],{"class":131},[125,169,171],{"class":170},"sZZnC","\"...\"",[125,173,174],{"class":135},")\n",[125,176,178,181,183],{"class":127,"line":177},4,[125,179,180],{"class":135},"resp ",[125,182,158],{"class":131},[125,184,185],{"class":135}," client.models.generate_content(\n",[125,187,189,192,194,197],{"class":127,"line":188},5,[125,190,191],{"class":164},"    model",[125,193,158],{"class":131},[125,195,196],{"class":170},"\"gemini-3-pro\"",[125,198,199],{"class":135},",\n",[125,201,203,206,208,211],{"class":127,"line":202},6,[125,204,205],{"class":164},"    contents",[125,207,158],{"class":131},[125,209,210],{"class":170},"\"分析这段代码的性能瓶颈并给出优化方案\"",[125,212,199],{"class":135},[125,214,216,219,221,224,227,230,233,236,239],{"class":127,"line":215},7,[125,217,218],{"class":164},"    config",[125,220,158],{"class":131},[125,222,223],{"class":135},"{",[125,225,226],{"class":170},"\"thinking_config\"",[125,228,229],{"class":135},": {",[125,231,232],{"class":170},"\"thinking_level\"",[125,234,235],{"class":135},": ",[125,237,238],{"class":170},"\"high\"",[125,240,241],{"class":135},"}},\n",[125,243,245],{"class":127,"line":244},8,[125,246,174],{"class":135},[125,248,250,254],{"class":127,"line":249},9,[125,251,253],{"class":252},"sj4cs","print",[125,255,256],{"class":135},"(resp.text)\n",[43,258,259,260,262],{},"也兼容 OpenAI 格式端点，方便从 ",[47,261,65],{"href":64}," 平滑迁移。",[39,264,265],{"id":265},"定价",[267,268,269,282],"table",{},[270,271,272],"thead",{},[273,274,275,279],"tr",{},[276,277,278],"th",{},"项目",[276,280,281],{},"价格（≤200K 上下文）",[283,284,285,294],"tbody",{},[273,286,287,291],{},[288,289,290],"td",{},"Input",[288,292,293],{},"$2 \u002F 百万 token",[273,295,296,299],{},[288,297,298],{},"Output",[288,300,301],{},"$12 \u002F 百万 token",[43,303,304,305,307],{},"超过 200K 上下文的请求价格上浮，长文档场景要算账。对比 ",[47,306,50],{"href":49}," 的 $1.25\u002F$10，3 Pro 贵一档但能力提升明显。",[39,309,310],{"id":310},"与同档模型怎么选",[267,312,313,327],{},[270,314,315],{},[273,316,317,320,322,325],{},[276,318,319],{},"维度",[276,321,11],{},[276,323,324],{},"Claude Opus 4.5",[276,326,65],{},[283,328,329,342,356,370,383],{},[273,330,331,334,336,339],{},[288,332,333],{},"纯编程（SWE-bench）",[288,335,28],{},[288,337,338],{},"SOTA（更高）",[288,340,341],{},"68.0%",[273,343,344,347,350,353],{},[288,345,346],{},"多模态",[288,348,349],{},"原生（图+音+视频）",[288,351,352],{},"仅图片",[288,354,355],{},"图+音+视频",[273,357,358,361,364,367],{},[288,359,360],{},"上下文",[288,362,363],{},"1M",[288,365,366],{},"200K",[288,368,369],{},"400K",[273,371,372,375,377,380],{},[288,373,374],{},"推理（GPQA）",[288,376,22],{},[288,378,379],{},"强",[288,381,382],{},"62.5%",[273,384,385,388,391,393],{},[288,386,387],{},"国内可用",[288,389,390],{},"❌",[288,392,390],{},[288,394,390],{},[43,396,397,401,402,102],{},[398,399,400],"strong",{},"建议","：要多模态 + 超长上下文 + vibe coding 选 Gemini 3 Pro；要最强纯编程 agent 选 ",[47,403,324],{"href":404},"\u002Fmodels\u002Fclaude-opus-4-5.html",[39,406,407],{"id":407},"避坑清单",[75,409,410,416,422,428],{},[78,411,412,415],{},[398,413,414],{},"国内无直连","：需 Vertex AI 或中转，注意合规。",[78,417,418,421],{},[398,419,420],{},"200K 是价格分界","：超过后 input\u002Foutput 双双上浮，长上下文任务先估成本。",[78,423,424,427],{},[398,425,426],{},"Deep Think 要 Ultra","：普通 API 拿不到最强推理档，别按 Deep Think 的 benchmark 预期普通调用。",[78,429,430,433],{},[398,431,432],{},"thinking_level 别默认拉满","：high 档贵且慢，日常任务用默认即可。",[39,435,436],{"id":436},"延伸阅读",[75,438,439,449,456],{},[78,440,441,442,444,445,444,447],{},"对比同档：",[47,443,324],{"href":404}," \u002F ",[47,446,65],{"href":64},[47,448,50],{"href":49},[78,450,451,452],{},"长上下文：",[47,453,455],{"href":454},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering",[78,457,458,459],{},"配套工具：",[47,460,97],{"href":96},[462,463,464],"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 .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":120,"searchDepth":152,"depth":152,"links":466},[467,468,474,475,476,477,478],{"id":41,"depth":145,"text":41},{"id":54,"depth":145,"text":54,"children":469},[470,471,472,473],{"id":58,"depth":152,"text":58},{"id":69,"depth":152,"text":70},{"id":89,"depth":152,"text":90},{"id":105,"depth":152,"text":106},{"id":112,"depth":145,"text":113},{"id":265,"depth":145,"text":265},{"id":310,"depth":145,"text":310},{"id":407,"depth":145,"text":407},{"id":436,"depth":145,"text":436},"multimodal",1000000,"Google 2025 年 11 月发布的旗舰多模态模型，1M 上下文 + LMArena 登顶 + vibe coding 标杆，同步推出 agent 开发平台 Antigravity。","md",65536,{},"\u002Fmodels\u002Fgemini-3-pro","Input $2\u002FM · Output $12\u002FM（≤200K 上下文）","2026-06-28",[489,490,491],"coding\u002Fcli\u002Fgemini-cli","coding\u002Fide\u002Fcursor","coding\u002Fapi\u002Fopenrouter","2025-11-18",{"title":11,"description":481},"gemini-3-pro","models\u002Fgemini-3-pro",[497,498,499,500,501],"1M token 上下文，原生多模态（文本\u002F图片\u002F音频\u002F视频\u002F代码）","推理能力业界顶级，LMArena 1501 Elo 登顶","Vibe Coding 零样本生成交互式 Web UI 能力极强","长程 agent 规划稳，Vending-Bench 2 模拟经营一整年不跑偏","减少谄媚（sycophancy），事实准确率提升",[503,504,505,506],"多模态分析（视频\u002F截图\u002F手写稿理解）","全项目代码分析与 vibe coding","长程 agent 任务规划","学习\u002F科研复杂推理","Google","Google DeepMind",[510,511,512,513],"国内无官方 API，需走中转或 Vertex AI","纯编程 SWE-bench 76.2% 略低于 Claude Opus 4.5","Deep Think 深度推理模式仅对 AI Ultra 订阅开放","上下文超 200K 后 API 价格上浮","gjK-vp6Kl597czuevi3uE-z058UVxJw4e5UrQe3lR3E",1782663746801]