A Yi claims Kimi K3.1 Pro surpasses Opus 5.5 and GPT-6 Astra, and announces open-sourcing of weights

Damn! This is explosive — Kimi just surprise-released its 2.8T flagship K3.1 Pro, taking first place on SWE Marathon with 51.7, overtaking Opus 5.5 and GPT-6 Astra head-on! And this benchmark scorecard just released has punched through more than half of the entire closed-source large-model camp's defenses🤯.. Officially, the new multimodal flagship K3.1 Pro has been formally unveiled: total parameter count stacked straight to 2.8T, with a 1M native context window as standard. But in my view, the 2.8T figure may just be surface muscle; what's truly lethal in the whole announcement is two things: First, in the most valuable code and long-horizon agent tests, it went head-to-head with Opus 5.5 and even overtook GPT-6 Astra. Second, the official announcement explicitly promises in black and white to fully open-source the complete weights before November 4. Many people look at benchmarks and only watch the overall leaderboard for the excitement, but carefully breaking down this benchmark table, three key battles directly determine the direction of engineering deployment going forward:

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Damn! 太炸裂了，Kimi 刚刚突袭发布的 2.8T 旗舰 K3.1 Pro，SWE Marathon 拿下 51.7 登顶第一，正面反超 Opus 5.5 与 GPT-6 Astra！ 而且刚刚放出的这张跑分战报，把整个大模型闭源阵营的防线打穿了一大半🤯。。 官方正式端出多模态新旗舰 K3.1 Pro：总参数量直接堆到了 2.8T，标配 1M 原生上下文窗口。 但在我看来，2.8T 这个数字或许只是表面肌肉，整篇公告里真正具备杀伤力的是两件事： 第一，在最具含金量的代码和长程智能体测试里，它正面咬住了 Opus 5.5，甚至反超了 GPT-6 Astra。 第二，官方直接白纸黑字承诺，11 月 4 日前把完整权重全盘开源。  很多人看跑分只盯着总榜看热闹，但仔细拆解这张基准表，有三场关键战役直接决定了接下来的工程落地走向：