Kimi K2.5 is a native multimodal reasoning model developed by Moonshot AI, released in January 2026. Built upon the Kimi K2 architecture, it is designed for complex reasoning, coding, and agentic workflows. The model is trained on approximately 15 trillion mixed visual and text tokens, enabling it to process and reason across different modalities natively without external adapters.
The model utilizes a Mixture-of-Experts (MoE) architecture with a total of 1 trillion parameters, of which 32 billion are active per token during inference. It features a specialized "Thinking" mode that leverages reinforcement learning and chain-of-thought reasoning to solve high-difficulty problems in mathematics, logic, and software engineering. Kimi K2.5 supports a context window of 256,000 tokens.
Key Features
A defining capability of Kimi K2.5 is its Agent Swarm technology, which allows the model to decompose complex tasks into parallel sub-tasks and coordinate multiple specialized sub-agents. This system is designed to improve execution speed and accuracy in autonomous search and large-scale data synthesis tasks.
In technical evaluations, Kimi K2.5 has demonstrated high performance on reasoning benchmarks, achieving a 96.1% score on the AIME 2025 mathematics competition and a 76.8% score on SWE-Bench Verified for autonomous coding tasks.