Kimi-K3.1-Pro

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Kimi K3.1 Pro is an open-weight, natively multimodal agentic model, and our most capable 3T-class model to date. Post-trained from Kimi K3 with large-scale joint reinforcement learning across hundreds of downstream domains, it is the first model in the K3.1 series. With a 1-million-token context window, Kimi K3.1 Pro delivers substantial improvements in coding, 3D creation, financial research, factual accuracy, and other agentic capabilities.

• New Architecture: Kimi K3.1 Pro 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 K3.1 Pro 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 K3.1 Pro advances end-to-end knowledge work, producing deep research with interactive visualizations, widgets and dashboards, and motion design and image editing, powered by its native multimodal architecture.
• Native Multimodality & Long Context: Kimi K3.1 Pro understands text and images within the same model, and supports a 1-million-token context window.
• Open Frontier Weights: Moonshot AI has released the full Kimi K3.1 Pro model weights under the Kimi K3.1 Pro License, making frontier intelligence openly available for research, deployment, and further innovation.