Moonshot releases Kimi K3, a 2.8T multimodal MoE with 1M-token context
月之暗面 Kimi · wechat · 2026-07-27
Moonshot released Kimi K3 and opened the model weights, plus the key infrastructure behind training it.
- Model: a 2.8T-parameter MoE model with native vision understanding and a 1M-token context window.
- Efficiency: Moonshot says the model is about 3× the size of Kimi K2.5, but training efficiency improved by 2.5× thanks to a set of scaling and systems optimizations.
- Technical report: covers KDA+AttnRes, StableLatentMoE, MoonViT-V2, and post-training / evaluation across general reasoning, agent tasks, and coding agents.
- Open-sourced infra: MoonEP (MoE communication), FlashKDA (high-performance kernel), and AgentEnv (sandbox for large-scale agent RL workflows).
- Moonshot says the weights are free to download and deploy for internal R&D and end-user products, subject to the published terms.
Related event: Moonshot releases Kimi K3 open weights amid license debate(155 posts)→
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