Kimi just released the open weights for K3.1 Pro on Hugging Face under a dedicated license. Billed as its most capable 3T-class model yet, the release packs native multimodality and agentic capabilities directly into the hands of open-source builders.
Moonshot AI just released the full open weights for Kimi K3.1 Pro, a 2.8-trillion-parameter MoE model that activates 104B parameters per token. It features a 1M token context window and native multimodal reasoning. Its massive 1.56TB size targets enterprise clusters running vLLM or SGLang.
Kimi just launched K3.1 Pro, a 3T-class open-weight MoE model packing 2.8T total and 104B active parameters with a 1M-token context window. It handles full-project game coding across Unreal, Unity, and Godot, while cutting finance hallucinations by 65%. The open weights are slated for release on Nov 4, 2026.
