Kimi K2.5 (huggingface.co)

Kimi K2.5 has been announced as a groundbreaking open-source multimodal AI model developed through extensive pretraining on 15 trillion mixed visual and text tokens. This model is notable for its native multimodality, integrating vision and language comprehension alongside sophisticated agentic capabilities, making it capable of functioning in instant and thinking modes. K2.5 excels in tasks requiring visual knowledge and cross-modal reasoning, such as generating code from visual specifications and autonomously orchestrating tools for processing visual data. Significantly, K2.5 introduces a unique "Agent Swarm" mechanism, which allows it to break down complex tasks into parallel sub-tasks executed by specialized agents, enhancing efficiency and adaptability in operations. With a robust architecture featuring 1 trillion parameters and 384 mixture-of-experts (MoE), it supports an extensive context length of 256k tokens and excels in various benchmarks against leading models like GPT-5.2 and Claude 4.5. The potential applications across industries—coupled with its advanced coding capabilities—position Kimi K2.5 as a major player in the evolving AI landscape, pushing the boundaries of what multimodal AI can achieve.