Overview

Kimi K2.5 is a multimodal agentic model developed by Moonshot AI, built upon Kimi-K2-Base through continual pretraining on approximately 15 trillion mixed visual and text tokens. It features a Mixture-of-Experts (MoE) architecture with 1 trillion total parameters and 32 billion activated parameters, supporting a 256K context length. The model seamlessly integrates vision and language understanding with advanced agentic capabilities, offering both instant and thinking modes.

Key Capabilities

Native Multimodality: Excels in visual knowledge, cross-modal reasoning, and agentic tool use, pre-trained on vision–language tokens.
Coding with Vision: Capable of generating code from visual specifications (e.g., UI designs, video workflows) and orchestrating tools for visual data processing.
Agent Swarm: Transitions to a self-directed, coordinated swarm-like execution scheme, decomposing complex tasks into parallel sub-tasks executed by dynamically instantiated, domain-specific agents.
High Performance: Demonstrates strong performance across reasoning, knowledge, image, video, coding, and long-context benchmarks, often comparable to or exceeding other large proprietary models, especially with tool augmentation and agent swarm capabilities.

Good for

Applications requiring deep visual understanding and reasoning.
Automated code generation from visual inputs.
Complex task decomposition and execution using agentic workflows.
Scenarios demanding long-context processing and multimodal input handling (images, videos, text).