Kimi K2.5: Visual Agentic Intelligence

• URL: http://arxiv.org/abs/2602.02276v1
• Date: Mon, 02 Feb 2026 16:17:38 GMT
• Title: Kimi K2.5: Visual Agentic Intelligence
• Abstract summary: Kimi K2.5 is an open-source multimodal agentic model designed to advance general agentic intelligence.<n>Building on this multimodal foundation, K2.5 introduces Agent Swarm, a self-directed parallel agent orchestration framework.
• Score: 236.05020914831047
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: 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. Extensive evaluations show that Kimi K2.5 achieves state-of-the-art results across various domains including coding, vision, reasoning, and agentic tasks. Agent Swarm also reduces latency by up to $4.5\times$ over single-agent baselines. We release the post-trained Kimi K2.5 model checkpoint to facilitate future research and real-world applications of agentic intelligence.

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