Signal Brief

Kimi K3: 2.8T MoE开源模型发布

Kimi(月之暗面)发布并开源其最强模型Kimi K3,采用2.8T MoE架构,具备原生视觉理解能力和1M token上下文窗口,新架构使智能每计算单元提升2.5倍。同时开放技术报告、高性能注意力内核、MoE通信库及agent基础设施。

twitter关注列表 Ethan Mollick (@emollick) 发布 2026-07-27 收录 2026-07-27 观察

一句话判断

首次开源2.8T MoE模型,架构创新带来2.5倍效率提升,建议阅读技术报告了解具体实现。

核心信息

Kimi(月之暗面)发布并开源其最强模型Kimi K3,采用2.8T MoE架构,具备原生视觉理解能力和1M token上下文窗口,新架构使智能每计算单元提升2.5倍。同时开放技术报告、高性能注意力内核、MoE通信库及agent基础设施。

原始内容

Been reading the weights of the most powerful open weights Ai model yet released. Page one starts strong: mostly negatives, a late run of zeros, and one unexpectedly large positive value. https://t.co/lpI8wN3V7i ![photo](https://pbs.twimg.com/media/HOQLXXtWcAA1szI.jpg) > **引用原帖 Kimi.ai (@Kimi_Moonshot):** > Releasing the model weights and technical report of Kimi K3. > Kimi K3 is our most capable model: a 2.8T MoE model with native visual understanding and a 1M-token context window. > New model architecture: 2.5x the intelligence per unit of compute, not just more params. > Alongside Kimi K3, we're opening up more of the stack behind it — high-performance attention kernels, MoE communication library, and infrastructure for running agent environments at scale. > Model weights: https://t.co/7m7eEg6Y0B > Tech report: https://t.co/yeu6cjpMCT > Tech blog: https://t.co/YTfiMSNM1f > https://x.com/Kimi_Moonshot/status/2081760186235289764

相关动态

01

Kimi K3技术报告发布

Kimi.ai发布Kimi K3技术报告,该模型为2.8T参数MoE,原生支持视觉理解,拥有百万token上下文窗口。报告详细描述了新架构Kimi Delta Attention,通过移除位置编码、注意力残差、分层训练等技术,实现约2.5倍于Kimi K2的扩展效率。

twitter关注列表2026-07-27#模型发布#技术突破#大模型
值得跟进
02

Kimi K3 开源权重发布

Moonshot 开源 Kimi K3 模型权重,参数规模 2.6T,在 Artificial Analysis Intelligence Index 得分 57,成为领先的开源权重模型。许可协议限制商用,要求营收超 2000 万美元的模型即服务企业另行协商,月活超 1 亿或月营收超 2000 万美元的商业产品需在界面显示“Kimi K3...

twitter关注列表2026-07-27#模型发布#大模型#开源
值得跟进