Kimi K3参数2.8万亿，百万上下文，解码快6.3倍，适合长任务编程，赶紧试试。
Moonshot推出Kimi K3模型，拥有2.8万亿参数和100万上下文窗口，支持原生多模态。采用Kimi Delta Attention技术，百万token上下文解码速度提升至6.3倍。Attention Residuals机制实现约25%更高训练效率，成本仅增加不到2%。模型已上线Kimi.com、Kimi Work、Kimi Code及Kimi API，计划2026年7月27日开源权重。
Use Moonshot's Kimi K3 model in AI SDK
Use Moonshot's Kimi K3 model in AI SDK Kimi.ai @Kimi_Moonshot Introducing Kimi K3: Open Frontier Intelligence 🔹 2.8 Trillion Parameters, 1 Million Context, Native Multimodal 🔹 Kimi Delta Attention enables up to 6.3x faster decoding in million-token contexts 🔹 Attention Residuals deliver ~25% higher training efficiency at <2% additional cost 🔹 Built for long-horizon agentic coding and self-evolving workflows Kimi K3 is now live on Kimi.com xZUo, Kimi Work, Kimi Code, and the Kimi API. Open Weights by July 27, 2026. 🔗 platform.kimi.ai XAqMw 🔗 Tech kimi.com/blog/kimi-k3 MSNM1f 🔗 View Quoted Tweet 💬 2 🔄 1 ❤️ 41 👀 2499 📊 7 ⚡