谷歌Gemini 4 Pro疑偷跑四大跑分全面领先Astra、Fable

Google(GOOGL-US)下一代旗舰模型Gemini 4 Pro疑似已「偷跑」上线。流出的基准测试显示，该模型在程式编码、AI代理、推理及电脑操作等多项能力上，均领先OpenAI Astra与Anthropic Fable 5.1，引发AI圈高度关注。

近日，AI模型竞技场Arena出现一款名为「gemini-3.8-flash」的匿名模型，经多名开发者实测后，被认为极可能是Gemini 4 Pro的早期版本。

Google上一次大幅更新Gemini Pro系列，已是7个月前推出的Gemini 3.1 Pro。Google执行长皮查伊曾在Google I/O大会预告，Gemini 3.5 Pro将于6月上线，但最终未如期发布。

匿名模型疑为Gemini 4 Pro

本月初更有消息指出，Google已取消Gemini 3.5 Pro，原因是模型进步幅度有限，表现甚至不及Flash版本。相较之下，Gemini 4在预训练阶段的评估结果良好，后训练工作也持续推进。

如今，Arena突然出现同样名为「gemini-3.8-flash」的模型，因Google早在9月初就已发布Gemini 3.8 Flash，同名模型再度现身并不寻常。

多名开发者实际测试后发现，新模型的能力明显高于既有版本，因此推测它可能是披着「gemini-3.8-flash」外衣的Gemini 4 Pro首个检查点版本。

四大测试全面领先

从网路流传的基准测试图来看，Gemini 4 Pro在多个项目取得领先。于评估AI代理编码能力的DeepSWE v1.1测试中，Gemini 4 Pro获得约88%的成绩，比Astra高出近2个百分点。

在衡量真实知识工作任务的GDPval-AA v2测试中，Gemini 4 Pro是唯一取得2,064分Elo评级的模型；Terminal-bench 2.1终端编码测试则拿下95.3%，同样排名第一。

至于OSWorld-2.0电脑操作能力测试，Gemini 4 Pro获得86.8%，超越Astra与Fable 5.1。

若相关数据属实，Gemini 4 Pro不仅在编码、AI代理及电脑操作方面展现竞争力，价格也可能低于另外两款模型。流传资讯显示，其每百万Token输入价格为2.25美元，输出价格为11.25美元。

另有AI研究员进入模型后端后发现，Gemini 4 Pro可能具备1,000万Token输入上限、25.6万Token输出上限，以及跨对话永久记忆功能，并能在不使用API的情况下直接连网。

不过，上述规格目前仍未获Google正式证实。

UI、3D与SVG能力跃进

除了跑分之外，Gemini 4 Pro的实际生成效果也引起讨论。

有开发者仅花14分钟，就利用该模型建立一个以素描、铅笔及石墨质感为主题的创意展示网页，并将「滚动即笔触」转化为互动效果，随着页面向下滑动，画面线条也会逐渐加深。

另一项网页设计测试则融合赛博庞克与复古未来主义风格，首屏加入3D网格、资料仪表板及可互动的3D模型，显示其在介面设计与视觉呈现上的能力有所提升。

在SVG及3D生成测试中，Gemini 4 Pro同样展现进步。以「鹈鹕骑自行车」为例，模型一次完成配色、日夜切换、车灯、解剖标注与踏频控制等多项要求。开发者指出，新模型生成速度快，对复杂指令的理解也更准确。

Gemini 4 Pro还在10分钟内完成空中巴士H145直升机的3D模型，并生成像素风3D宝塔。另一项3D飞行模拟测试中，其画面效果也明显优于既有的Gemini 3.8 Flash，进一步加深外界对两者并非同一模型的推测。

可直接生成互动游戏

游戏开发也是此次实测的重点。Gemini 4 Pro被指能直接产生具完整互动逻辑的小型游戏，包括从页面架构到各模组设计的《Minecraft》风格作品，以及3D卡丁车竞速游戏，完成度可与先前公布的Astra测试结果相比。

这些成果显示，Gemini 4 Pro的能力已不只局限于文字问答与程式码生成，而是进一步延伸至使用者介面、互动网页、3D模型及游戏开发等多模态应用。

Google押注递回式自我改进

Gemini 4 Pro能力快速提升的背后，也被外界与RSI（递回式自我改进）连结。Google DeepMind首席策略长Jasjeet Sekhon上月在柏克莱一场活动中表示，RSI已成为AI巨额投资逻辑的重要一环。若AI能持续参与并改善自身能力，模型进步速度可能进一步加快。

近期网路更流传，Gemini 4之所以能提前完成预训练，是因Google DeepMind已在训练过程中建立RSI闭环。Google日前公开的Dream-RSI研究，也聚焦于让AI代理在探索过程中持续改善搜寻策略，并从经验中优化下一轮探索。

不过，Gemini 4 Pro目前的身分、测试成绩、价格及技术规格，仍主要来自外流资料与开发者实测，Google尚未正式公布。

面对OpenAI Astra及Anthropic Fable 5.1，这款匿名模型是否真是Google的新一代旗舰，以及最终版本能否维持现有表现，仍有待官方揭晓。

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5.1，引发AI圈高度关注。近日，AI模型竞技场Arena出现一款名为「gemini-3.8-flash」的匿名模型，经多名开发者实测后，被认为极可能是Gemini 4 Pro的早期版本。 Google上一次大幅更新Gemini Pro系列，已是7个月前推出的Gemi", "img": "https://cimg.cnyes.cool/prod/news/6609933/l/84d43fb079bddb408c28bc3692eb0336.jpg", "content": "Google(GOOGL-US)下一代旗舰模型Gemini 4 Pro疑似已「偷跑」上线。流出的基准测试显示，该模型在程式编码、AI代理、推理及电脑操作等多项能力上，均领先OpenAI Astra与Anthropic Fable 5.1，引发AI圈高度关注。\n<img src=\"https://cimg.cnyes.cool/prod/news/6609933/l/84d43fb079bddb408c28bc3692eb0336.jpg\" alt=\"谷歌Gemini 4 Pro疑偷跑四大跑分全面领先Astra、Fable\" style=\"width:50%;height:auto;border-radius:6px;margin:15px auto;display:block;\">\n\n\n近日，AI模型竞技场Arena出现一款名为「gemini-3.8-flash」的匿名模型，经多名开发者实测后，被认为极可能是Gemini 4 Pro的早期版本。\n\nGoogle上一次大幅更新Gemini Pro系列，已是7个月前推出的Gemini 3.1 Pro。Google执行长皮查伊曾在Google I/O大会预告，Gemini 3.5 Pro将于6月上线，但最终未如期发布。\n\n匿名模型疑为Gemini 4 Pro\n\n本月初更有消息指出，Google已取消Gemini 3.5 Pro，原因是模型进步幅度有限，表现甚至不及Flash版本。相较之下，Gemini 4在预训练阶段的评估结果良好，后训练工作也持续推进。\n\n如今，Arena突然出现同样名为「gemini-3.8-flash」的模型，因Google早在9月初就已发布Gemini 3.8 Flash，同名模型再度现身并不寻常。\n\n多名开发者实际测试后发现，新模型的能力明显高于既有版本，因此推测它可能是披着「gemini-3.8-flash」外衣的Gemini 4 Pro首个检查点版本。\n\n四大测试全面领先\n\n从网路流传的基准测试图来看，Gemini 4 Pro在多个项目取得领先。于评估AI代理编码能力的DeepSWE v1.1测试中，Gemini 4 Pro获得约88%的成绩，比Astra高出近2个百分点。\n\n在衡量真实知识工作任务的GDPval-AA v2测试中，Gemini 4 Pro是唯一取得2,064分Elo评级的模型；Terminal-bench 2.1终端编码测试则拿下95.3%，同样排名第一。\n\n至于OSWorld-2.0电脑操作能力测试，Gemini 4 Pro获得86.8%，超越Astra与Fable 5.1。\n\n若相关数据属实，Gemini 4 Pro不仅在编码、AI代理及电脑操作方面展现竞争力，价格也可能低于另外两款模型。流传资讯显示，其每百万Token输入价格为2.25美元，输出价格为11.25美元。\n\n另有AI研究员进入模型后端后发现，Gemini 4 Pro可能具备1,000万Token输入上限、25.6万Token输出上限，以及跨对话永久记忆功能，并能在不使用API的情况下直接连网。\n\n不过，上述规格目前仍未获Google正式证实。\n\nUI、3D与SVG能力跃进\n\n除了跑分之外，Gemini 4 Pro的实际生成效果也引起讨论。\n\n有开发者仅花14分钟，就利用该模型建立一个以素描、铅笔及石墨质感为主题的创意展示网页，并将「滚动即笔触」转化为互动效果，随着页面向下滑动，画面线条也会逐渐加深。\n\n另一项网页设计测试则融合赛博庞克与复古未来主义风格，首屏加入3D网格、资料仪表板及可互动的3D模型，显示其在介面设计与视觉呈现上的能力有所提升。\n\n在SVG及3D生成测试中，Gemini 4 Pro同样展现进步。以「鹈鹕骑自行车」为例，模型一次完成配色、日夜切换、车灯、解剖标注与踏频控制等多项要求。开发者指出，新模型生成速度快，对复杂指令的理解也更准确。\n\nGemini 4 Pro还在10分钟内完成空中巴士H145直升机的3D模型，并生成像素风3D宝塔。另一项3D飞行模拟测试中，其画面效果也明显优于既有的Gemini 3.8 Flash，进一步加深外界对两者并非同一模型的推测。\n\n可直接生成互动游戏\n\n游戏开发也是此次实测的重点。Gemini 4 Pro被指能直接产生具完整互动逻辑的小型游戏，包括从页面架构到各模组设计的《Minecraft》风格作品，以及3D卡丁车竞速游戏，完成度可与先前公布的Astra测试结果相比。\n\n这些成果显示，Gemini 4 Pro的能力已不只局限于文字问答与程式码生成，而是进一步延伸至使用者介面、互动网页、3D模型及游戏开发等多模态应用。\n\nGoogle押注递回式自我改进\n\nGemini 4 Pro能力快速提升的背后，也被外界与RSI（递回式自我改进）连结。Google DeepMind首席策略长Jasjeet Sekhon上月在柏克莱一场活动中表示，RSI已成为AI巨额投资逻辑的重要一环。若AI能持续参与并改善自身能力，模型进步速度可能进一步加快。\n\n近期网路更流传，Gemini 4之所以能提前完成预训练，是因Google DeepMind已在训练过程中建立RSI闭环。Google日前公开的Dream-RSI研究，也聚焦于让AI代理在探索过程中持续改善搜寻策略，并从经验中优化下一轮探索。\n\n不过，Gemini 4 Pro目前的身分、测试成绩、价格及技术规格，仍主要来自外流资料与开发者实测，Google尚未正式公布。\n\n面对OpenAI Astra及Anthropic Fable 5.1，这款匿名模型是否真是Google的新一代旗舰，以及最终版本能否维持现有表现，仍有待官方揭晓。<div class=\"related-articles seo-links\">\n <h4>相关阅读</h4>\n <ul>\n <li><a href=\"/new/AI/article-788.html\" title=\"三星达成AI利润分成协议员工人均将获约1267万台币奖金\">三星达成AI利润分成协议员工人均将获约1267万台币奖金</a></li>\n <li><a href=\"/new/AI/article-16704.html\" 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