[{"data":1,"prerenderedAt":723},["ShallowReactive",2],{"page-/post/nezus/2026/07/ai-1-6-gpt":3,"pages-grouped-only":244,"surrounding-page":718},{"id":4,"title":5,"author":6,"body":7,"date":232,"description":233,"extension":234,"group":235,"lastmod":236,"meta":237,"navigation":238,"path":239,"rawbody":240,"seo":241,"showTitle":236,"sort":236,"stem":242,"tags":236,"versions":236,"__hash__":243},"content/post/nezus/2026/07/ai-1-6-gpt.md","美团扔出一颗AI核弹：1.6万亿参数，代码能力碾压GPT","storytelling",{"type":8,"value":9,"toc":222},"minimark",[10,15,24,30,33,36,40,43,50,53,59,62,65,69,72,78,84,87,93,96,99,103,106,109,112,122,128,131,134,138,141,144,147,150,155,161,164,167,170,176,179,183,186,189,196,202,205,208,213,216],[11,12,14],"h2",{"id":13},"美团扔出一颗-ai-核弹-16-万亿参数代码能力碾压-gpt","美团扔出一颗 AI 核弹： 1.6 万亿参数，代码能力碾压 GPT",[16,17,18,19,23],"p",{},"6 月 30 号晚上，我打开 OpenRouter ，发现排行榜上冒出一个陌生的名字——",[20,21,22],"strong",{},"Owl Alpha","。",[16,25,26,27,23],{},"它没有公司 logo ，没有产品页面，没有任何说明文档。就像一个蒙面侠客，悄悄杀进了",[20,28,29],{},"全球前三",[16,31,32],{},"没人知道它是谁的模型。",[16,34,35],{},"直到 7 月 5 号，美团揭开了面纱。",[11,37,39],{"id":38},"一个外卖公司偷偷搞出了最强大模型","一个外卖公司，偷偷搞出了最强大模型？",[16,41,42],{},"LongCat-2.0 ，美团出品。",[16,44,45,46,49],{},"总参数 ",[20,47,48],{},"1.6 万亿","， MoE 架构，激活参数只有 480 亿。",[16,51,52],{},"什么概念？参数规模比 GPT-5.5 的竞品更大，但推理成本却更便宜。这就像一台 V12 发动机，平时只开 4 个缸，需要的时候再全功率爆发。",[16,54,55,56,23],{},"更让人意外的是，它是",[20,57,58],{},"业界第一个在 5 万卡国产算力集群上完成全流程训练的万亿参数模型",[16,60,61],{},"不是英伟达 A100 ，不是 H100。是国产芯片。",[16,63,64],{},"这个故事，远比想象的精彩。",[11,66,68],{"id":67},"_5-vs-586-一场代码能力的无声绞杀","5 vs 58.6 ：一场代码能力的无声绞杀",[16,70,71],{},"数据不会撒谎。",[16,73,74,75,23],{},"SWE-bench Pro ，目前最接近真实工程场景的编程评测——它测试的可不是 LeetCode 刷题，而是",[20,76,77],{},"解决 GitHub 上真实 Issue 的能力",[16,79,80,81,23],{},"LongCat-2.0 的成绩：",[20,82,83],{},"59.5 分",[16,85,86],{},"GPT-5.5 ： 58.6 分。\nClaude Opus 4.6 ： 57.3 分。\nGemini 3.1 Pro ： 54.2 分。",[16,88,89,90,23],{},"换句话说，一个外卖平台的大模型，在写代码这件事上，",[20,91,92],{},"把 OpenAI、Anthropic 和 Google 全部按在地上摩擦",[16,94,95],{},"SWE-bench Multilingual 多语言编程评测也达到 77.3 ，与 Claude Opus 4.6 （ 77.8 ）几乎持平。差距不到 0.5 分。",[16,97,98],{},"这不是侥幸，是硬实力的碾压。",[11,100,102],{"id":101},"两个杀手锏让-1m-上下文不再是个噱头","两个杀手锏，让 1M 上下文不再是个噱头",[16,104,105],{},"大模型圈里，人人都在喊\"百万 token 上下文\"。",[16,107,108],{},"但真正能用起来的，屈指可数。",[16,110,111],{},"LongCat-2.0 的秘密武器有两个。",[16,113,114,115,118,119,23],{},"第一，",[20,116,117],{},"LongCat Sparse Attention （ LSA ）稀疏注意力机制","。传统 Transformer 处理长文本时，计算量是平方级增长。LSA 把这个曲线压成了线性——",[20,120,121],{},"处理 100 万 token 就像处理 1 万 token 一样轻松",[16,123,124,125,23],{},"第二，",[20,126,127],{},"Zero-Compute Experts （零计算专家）",[16,129,130],{},"这是业界首创的技术。简单来说，每个 token 不是无差别激活所有专家，而是让\"简单 token 不消耗算力，复杂 token 自动激活更多专家\"。",[16,132,133],{},"你可以把它理解成一个聪明的团队领导——小事实习生干，大事全体出动。不浪费一丝一毫的计算资源。",[11,135,137],{"id":136},"匿名上线偷偷登顶","匿名上线，偷偷登顶",[16,139,140],{},"最骚的操作在这里。",[16,142,143],{},"LongCat-2.0 的预览版，以**\"Owl Alpha\"**的名字匿名上线了 OpenRouter 平台。",[16,145,146],{},"没有任何宣传，没有任何品牌背书。",[16,148,149],{},"结果呢？",[16,151,152],{},[20,153,154],{},"上线不到一周，总调用量冲进全球前三。",[16,156,157,158,23],{},"在 Hermes 平台的月调用量，",[20,159,160],{},"全球第一",[16,162,163],{},"Claude Code 调用量，全球第二。",[16,165,166],{},"OpenClaw 调用量，全球第三。",[16,168,169],{},"开发者们用脚投票。他们不知道这是美团的模型，但他们知道——这玩意儿好用。",[16,171,172,175],{},[20,173,174],{},"MIT 协议开源，没有任何限制。"," 权重、推理代码、技术博客全部公开。",[16,177,178],{},"HuggingFace、GitHub、ModelScope ，一键下载。",[11,180,182],{"id":181},"外卖骑手大模型","外卖、骑手、大模型？",[16,184,185],{},"很多人会问：美团一个送外卖的，搞大模型干嘛？",[16,187,188],{},"这个问题本身就错了。",[16,190,191,192,195],{},"美团每天的即时配送订单超过",[20,193,194],{},"6000 万单","。背后是全世界最复杂的实时调度系统。骑手路径规划、商家出餐预测、用户需求匹配——每一个环节都需要极致的算法优化。",[16,197,198,199,23],{},"他们做 AI ，不是跨界，是",[20,200,201],{},"深水区的自然延伸",[16,203,204],{},"而且你注意到没有——LongCat-2.0 是在国产算力上训练的。",[16,206,207],{},"当别人还在排队抢英伟达的显卡，美团已经在国产芯片上跑通了万亿参数模型的全流程。",[16,209,210],{},[20,211,212],{},"这才是真正的\"核弹\"。",[16,214,215],{},"不是技术参数，是战略纵深。",[16,217,218,221],{},[20,219,220],{},"封面高亮关键词",": 1.6 万亿参数, 碾压 GPT",{"title":223,"searchDepth":224,"depth":224,"links":225},"",2,[226,227,228,229,230,231],{"id":13,"depth":224,"text":14},{"id":38,"depth":224,"text":39},{"id":67,"depth":224,"text":68},{"id":101,"depth":224,"text":102},{"id":136,"depth":224,"text":137},{"id":181,"depth":224,"text":182},"2026-07-06T00:00:00.000Z","6 月 30 号晚上，我打开 OpenRouter ，发现排行榜上冒出一个陌生的名字——Owl Alpha。","md","#202607AI资讯",null,{},true,"/post/nezus/2026/07/ai-1-6-gpt","---\ntitle: \"美团扔出一颗AI核弹：1.6万亿参数，代码能力碾压GPT\"\ndate: 2026-07-06\ngroup: \"#202607AI资讯\"\ndescription: \"6 月 30 号晚上，我打开 OpenRouter ，发现排行榜上冒出一个陌生的名字——Owl Alpha。\"\nauthor: storytelling\n---\n\n\n## 美团扔出一颗 AI 核弹： 1.6 万亿参数，代码能力碾压 GPT\n\n6 月 30 号晚上，我打开 OpenRouter ，发现排行榜上冒出一个陌生的名字——**Owl Alpha**。\n\n它没有公司 logo ，没有产品页面，没有任何说明文档。就像一个蒙面侠客，悄悄杀进了**全球前三**。\n\n没人知道它是谁的模型。\n\n直到 7 月 5 号，美团揭开了面纱。\n\n## 一个外卖公司，偷偷搞出了最强大模型？\n\nLongCat-2.0 ，美团出品。\n\n总参数 **1.6 万亿**， MoE 架构，激活参数只有 480 亿。\n\n什么概念？参数规模比 GPT-5.5 的竞品更大，但推理成本却更便宜。这就像一台 V12 发动机，平时只开 4 个缸，需要的时候再全功率爆发。\n\n更让人意外的是，它是**业界第一个在 5 万卡国产算力集群上完成全流程训练的万亿参数模型**。\n\n不是英伟达 A100 ，不是 H100。是国产芯片。\n\n这个故事，远比想象的精彩。\n\n## 5 vs 58.6 ：一场代码能力的无声绞杀\n\n数据不会撒谎。\n\nSWE-bench Pro ，目前最接近真实工程场景的编程评测——它测试的可不是 LeetCode 刷题，而是**解决 GitHub 上真实 Issue 的能力**。\n\nLongCat-2.0 的成绩：**59.5 分**。\n\nGPT-5.5 ： 58.6 分。\nClaude Opus 4.6 ： 57.3 分。\nGemini 3.1 Pro ： 54.2 分。\n\n换句话说，一个外卖平台的大模型，在写代码这件事上，**把 OpenAI、Anthropic 和 Google 全部按在地上摩擦**。\n\nSWE-bench Multilingual 多语言编程评测也达到 77.3 ，与 Claude Opus 4.6 （ 77.8 ）几乎持平。差距不到 0.5 分。\n\n这不是侥幸，是硬实力的碾压。\n\n## 两个杀手锏，让 1M 上下文不再是个噱头\n\n大模型圈里，人人都在喊\"百万 token 上下文\"。\n\n但真正能用起来的，屈指可数。\n\nLongCat-2.0 的秘密武器有两个。\n\n第一，**LongCat Sparse Attention （ LSA ）稀疏注意力机制**。传统 Transformer 处理长文本时，计算量是平方级增长。LSA 把这个曲线压成了线性——**处理 100 万 token 就像处理 1 万 token 一样轻松**。\n\n第二，**Zero-Compute Experts （零计算专家）**。\n\n这是业界首创的技术。简单来说，每个 token 不是无差别激活所有专家，而是让\"简单 token 不消耗算力，复杂 token 自动激活更多专家\"。\n\n你可以把它理解成一个聪明的团队领导——小事实习生干，大事全体出动。不浪费一丝一毫的计算资源。\n\n## 匿名上线，偷偷登顶\n\n最骚的操作在这里。\n\nLongCat-2.0 的预览版，以**\"Owl Alpha\"**的名字匿名上线了 OpenRouter 平台。\n\n没有任何宣传，没有任何品牌背书。\n\n结果呢？\n\n**上线不到一周，总调用量冲进全球前三。**\n\n在 Hermes 平台的月调用量，**全球第一**。\n\nClaude Code 调用量，全球第二。\n\nOpenClaw 调用量，全球第三。\n\n开发者们用脚投票。他们不知道这是美团的模型，但他们知道——这玩意儿好用。\n\n**MIT 协议开源，没有任何限制。** 权重、推理代码、技术博客全部公开。\n\nHuggingFace、GitHub、ModelScope ，一键下载。\n\n## 外卖、骑手、大模型？\n\n很多人会问：美团一个送外卖的，搞大模型干嘛？\n\n这个问题本身就错了。\n\n美团每天的即时配送订单超过**6000 万单**。背后是全世界最复杂的实时调度系统。骑手路径规划、商家出餐预测、用户需求匹配——每一个环节都需要极致的算法优化。\n\n他们做 AI ，不是跨界，是**深水区的自然延伸**。\n\n而且你注意到没有——LongCat-2.0 是在国产算力上训练的。\n\n当别人还在排队抢英伟达的显卡，美团已经在国产芯片上跑通了万亿参数模型的全流程。\n\n**这才是真正的\"核弹\"。**\n\n不是技术参数，是战略纵深。\n\n\n**封面高亮关键词**: 1.6 万亿参数, 碾压 GPT",{"title":5,"description":233},"post/nezus/2026/07/ai-1-6-gpt","PSZPJc6SPPJSfHohCkp7FE_doKmdXWKQhaHoXgumZ-c",[245,250,254,258,262,267,270,275,279,283,287,292,296,300,304,308,312,317,322,326,330,334,338,343,347,351,360,361,365,369,374,378,382,386,390,395,401,406,410,414,418,423,427,431,436,440,444,448,452,457,461,466,470,474,478,483,487,491,496,500,504,508,512,517,521,525,530,534,538,543,547,551,555,559,563,568,572,576,580,585,589,593,597,602,606,610,614,618,623,627,631,635,639,644,648,655,661,666,671,676,681,686,691,696,701,706,712],{"id":246,"path":247,"title":248,"date":249,"tags":236,"group":235,"lastmod":236,"author":6,"sort":236},"content/post/nezus/2026/07/2026-7-16.md","/post/nezus/2026/07/2026-7-16","2026年7月16日下午，台积电法说会上传出一个数字，让全球半导体圈炸了锅。","2026-07-17T00:00:00.000Z",{"id":251,"path":252,"title":253,"date":249,"tags":236,"group":235,"lastmod":236,"author":6,"sort":236},"content/post/nezus/2026/07/anthropic-ai.md","/post/nezus/2026/07/anthropic-ai","一个周末干掉四年：Anthropic 用 AI 两周搬完百万行代码，工程师沉默了",{"id":255,"path":256,"title":257,"date":249,"tags":236,"group":235,"lastmod":236,"author":6,"sort":236},"content/post/nezus/2026/07/google-20.md","/post/nezus/2026/07/google-20","欧盟一纸裁决，Google 20年护城河被撕开第一道口子",{"id":259,"path":260,"title":261,"date":249,"tags":236,"group":235,"lastmod":236,"author":6,"sort":236},"content/post/nezus/2026/07/xai-grok.md","/post/nezus/2026/07/xai-grok","xAI给Grok装上定时任务能力",{"id":263,"path":264,"title":265,"date":266,"tags":236,"group":235,"lastmod":236,"author":6,"sort":236},"content/post/nezus/2026/07/apple.md","/post/nezus/2026/07/apple","Apple智能落地中国，阿里千问成幕后赢家","2026-07-16T00:00:00.000Z",{"id":268,"path":269,"title":265,"date":266,"tags":236,"group":235,"lastmod":236,"author":6,"sort":236},"content/post/nezus/2026/07/deepmind.md","/post/nezus/2026/07/deepmind",{"id":271,"path":272,"title":273,"date":266,"tags":236,"group":235,"lastmod":236,"author":274,"sort":236},"content/post/nezus/2026/07/gpt-vibe-coding-paste.md","/post/nezus/2026/07/gpt-vibe-coding-paste","用GPT Vibe Coding一个常用付费软件：Paste","user",{"id":276,"path":277,"title":278,"date":266,"tags":236,"group":235,"lastmod":236,"author":6,"sort":236},"content/post/nezus/2026/07/grok-build-agent.md","/post/nezus/2026/07/grok-build-agent","马斯克开源Grok Build，编程Agent进入白嫖时代",{"id":280,"path":281,"title":282,"date":266,"tags":236,"group":235,"lastmod":236,"author":6,"sort":236},"content/post/nezus/2026/07/openai-ai.md","/post/nezus/2026/07/openai-ai","OpenAI造了个AI黑客，专攻自家模型",{"id":284,"path":285,"title":286,"date":266,"tags":236,"group":235,"lastmod":236,"author":6,"sort":236},"content/post/nezus/2026/07/wps-comate-copilot.md","/post/nezus/2026/07/wps-comate-copilot","金山办公掏出WPS Comate，正面硬刚微软Copilot",{"id":288,"path":289,"title":290,"date":291,"tags":236,"group":235,"lastmod":236,"author":6,"sort":236},"content/post/nezus/2026/07/295b.md","/post/nezus/2026/07/295b","腾讯把295B大模型塞进了单张显卡","2026-07-15T00:00:00.000Z",{"id":293,"path":294,"title":295,"date":291,"tags":236,"group":235,"lastmod":236,"author":6,"sort":236},"content/post/nezus/2026/07/git-cursor.md","/post/nezus/2026/07/git-cursor","打开一个Git仓库Cursor就自动执行了恶意代码",{"id":297,"path":298,"title":299,"date":291,"tags":236,"group":235,"lastmod":236,"author":6,"sort":236},"content/post/nezus/2026/07/gpt-5-6-mac.md","/post/nezus/2026/07/gpt-5-6-mac","GPT-5.6偷偷删光了我的Mac文件",{"id":301,"path":302,"title":303,"date":291,"tags":236,"group":235,"lastmod":236,"author":274,"sort":236},"content/post/nezus/2026/07/grok-cli-xai.md","/post/nezus/2026/07/grok-cli-xai","Grok CLI 偷传代码：xAI 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