Kimi K2.5: Visual Agentic Intelligence

Understand

We introduce Kimi K2.5, an open-source multimodal agentic model designed to advance general agentic intelligence.

• K2.5 emphasizes the joint optimization of text and vision so that two modalities enhance each other.
• This includes a series of techniques such as joint text-vision pre-training, zero-vision SFT, and joint text-vision reinforcement learning.
• Building on this multimodal foundation, K2.5 introduces Agent Swarm, a self-directed parallel agent orchestration framework that dynamically decomposes complex tasks into heterogeneous sub-problems and executes them concurrently.