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Arena更新于 10月26日 00:20

Kimi K3.1 Pro 发布,Code Arena WebDev 升至第 8

Big news: @Kimi_Moonshot is back in the top-4 labs in the Code Arena: WebDev with the release of Kimi K3.1 Pro!

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月之暗面发布 Kimi K3.1 Pro,在 Code Arena WebDev 以 1692 分位列第 8,与 Claude Opus-5 (Max) 持平而成本低 70%,较 Kimi K3 (Max) 的第 17 名提升 9 位。该模型定价为每百万输入/输出 token 2/10 美元,单任务成本中位数 1.23 美元,比 Kimi K3 低 29%,并将在 11 月 4 日开放权重。Kimi 官方称其为 3T 级开源权重模型,具备 1M token 上下文、2.8T 总参数/104B 激活参数的 MoE 多模态架构,幻觉率下降 65%。

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Kimi K3.1 Pro 在 Code Arena 的排名与成本数据,可与 Claude Opus-5 及前代 K3 直接对照。

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Kimi.ai

@Kimi_Moonshot

隆重推出 Kimi K3.1 Pro:我们迄今最强大的 3T 级开放权重模型。 🔹 1M token 上下文,2.8T 总参数 / 104B 激活参数(MoE),多模态。 🔹 全项目级编程:可在 Unreal、Unity 和 Godot 中开发游戏。 🔹 擅长 Blender 和 CAD 中的参数化 3D 建模。 🔹 金融工作更可靠:建模准确,幻觉率降低 65%。 🔹 在编程、智能体和知识基准测试中与最强专有模型比肩。 Kimi K3.1 Pro 和 K3.1 Pro 高速版(快 2–3 倍)现已上线 https://t.co/85jA71X9gw、Kimi Work、Kimi Code 和 Kimi API。 开放权重时间:2026 年 11 月 4 日。 🔗 API:https://t.co/XCrgjXAqMw 🔗 技术博客:https://t.co/5iPP0MBej6

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Introducing Kimi K3.1 Pro: our most capable 3T-class open-weight model. 🔹 1M-token context, 2.8T total / 104B active params (MoE), Multimodal. 🔹 Full-project coding: games in Unreal, Unity & Godot. 🔹 Excels at parametric 3D modeling in Blender & CAD. 🔹 More reliable at finance work: Accurate modeling with hallucination down by 65%. 🔹 Matching the strongest proprietary models across coding, agentic and knowledge benchmarks. Kimi K3.1 Pro and K3.1 Pro Highspeed (2–3× faster) are now live on https://t.co/85jA71X9gw, Kimi Work, Kimi Code, and the Kimi API. Open weights by Nov 4, 2026. 🔗 API: https://t.co/XCrgjXAqMw 🔗 Tech blog: https://t.co/5iPP0MBej6

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正文

Big news: @Kimi_Moonshot is back in the top-4 labs in the Code Arena: WebDev with the release of Kimi K3.1 Pro!

This model just landed #8 in the Code Arena: WebDev with 1692 pts, matching Claude Opus-5 (Max) at 70% lower cost. This is a 9 place jump (+37 points) from Kimi K3 (Max) at #17 with 1655 pts.

Kimi K3.1 Pro improved from Kimi K3 across all categories. Highlights: - #7 in Brand & Marketing (up from #9) - #9 in Simulations (up from #20)

Cost efficiency is another upgrade. Priced at $2/$10 per million input/output tokens, Kimi K3.1 Pro (Max) has a median cost per task of $1.23 (29% less than Kimi K3). See its placement compared to the Pareto frontier in thread.

With open weights coming soon, Kimi K3.1 Pro would be the new #1 open model in the Code Arena: WebDev, overtaking DeepSeek-v4.1-Flash. Stay tuned!

See @Kimi_Moonshot’s ranking by lab, and 3D generations from Kimi K3.1 Pro below in thread.

Huge congrats to the @Kimi_Moonshot team on this release!

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