MoonshotAI Models

Kimi’s most intelligent model to date, achieving open-source SoTA performance in Agent, code, visual understanding, and a range of general intelligent tasks. It is also Kimi’s most versatile model to date, featuring a native multimodal architecture that supports both visual and text input, thinking and non-thinking modes, and dialogue and Agent tasks. Context 256k

Kimi K2.7 Code is Kimi’s most intelligent Coding model, capable of completing programming tasks with higher success rates in long context. It features a native multimodal architecture that supports text, image, video input, and thinking modes, and dialogue and agent tasks. Context length 256k, supports long thinking and deep reasoning. Supports automatic context caching functionality, ToolCalls, JSON Mode, Partial Mode.

Kimi K2.7 Code HighSpeed is the high-speed version of Kimi K2.7 Code, the same model as Kimi K2.7 Code, but with an output speed of approximately 180 Tokens/s and up to 260 Tokens/s in short context scenarios, delivering a more extreme coding experience.

Kimi K3 is Kimi’s most capable model to date, with 2.8 trillion parameters. Built on Kimi Delta Attention, a hybrid linear attention mechanism, and Attention Residuals, it offers native visual understanding and a 1M-token context window for frontier intelligence scenarios such as software engineering, knowledge work, and deep reasoning.

Kimi K2.8 Preview delivers overall performance close to K3 with more efficient thinking. It supports adjustable thinking effort levels aligned with K3’s reasoning tiers, and provides up to 1M-token ultra-long context.

Kimi K3.1 Pro Highspeed is the faster variant of Kimi K3.1 Pro, delivering comparable intelligence with approximately 2–3× higher output speed and up to a 1M-token context window. It is optimized for long-horizon reasoning and agentic workflows, with strong performance in coding, 3D creation, financial analysis, tool use, and multimodal understanding of text, images, and video.

Kimi K3.1 Pro is MoonshotAI’s flagship reasoning model with a 1M-token context window, built for long-horizon agent workflows and multimodal understanding with image and video input. It delivers strong performance in coding, 3D creation, and financial research, while supporting streaming output, structured generation, and tool calling with configurable reasoning effort.