Kimi-K3 on Ollama

Moonshot AI released Kimi K3, a 2.8T-parameter open-weight multimodal agentic model, on Ollama with Pro or Max subscription and extra usage credits. The model features Kimi Delta Attention and Attention Residuals, a 1-million-token context window, and is the first open 3T-class model for long-horizon coding and knowledge work.

Currently Kimi K3 requires a Pro or Max subscription, and consumes extra usage credits . We’re quickly working on adding capacity to expand access. Kimi K3 is an open-weight, native multimodal agentic model and our most capable model to date. It is a 2.8T-parameter model built on Kimi Delta Attention KDA and Attention Residuals AttnRes , with native vision capabilities and a 1-million-token context window. It is the world’s first open 3T-class model, designed for frontier intelligence across long-horizon coding, knowledge work, and reasoning. Key Features New Architecture : Kimi K3 is built on Kimi Delta Attention KDA and Attention Residuals AttnRes , and scales up MoE sparsity with a Stable LatentMoE framework that activates 16 out of 896 experts — yielding an approximate 2.5× improvement in overall scaling efficiency over Kimi K2. Long-Horizon Coding : Operating with minimal human oversight, Kimi K3 sustains long engineering sessions, navigates massive repositories, and orchestrates terminal tools — from GPU kernel optimization and compiler development to vision-in-the-loop game dev, CAD, and even chip design. Agentic Knowledge Work : Kimi K3 advances end-to-end knowledge work, producing deep research with interactive visualizations, widgets and dashboards, and motion design and video editing, powered by its native multimodal architecture. Native Multimodality & Long Context : Kimi K3 understands text, images, and video within the same model, and supports a 1-million-token context window. Open Frontier Weights : We release the full Kimi K3 model weights under the Kimi K3 License, making frontier intelligence openly available for research, deployment, and further innovation.