Kimi K2.5 (EmberCloud)

Kimi K2.5 is a native multimodal model built on the Kimi K2 foundation. The source describes a trillion-parameter mixture-of-experts transformer that was continually pretrained on approximately 15 trillion mixed visual and text tokens, with joint optimization intended to help visual and textual information reinforce one another during understanding. This lineage makes it particularly relevant to applications that combine documents, screenshots, interface content, and natural-language instructions rather than handling text in isolation.

Its defining advancement is Agent Swarm, a parallel orchestration approach that breaks complex work into heterogeneous subproblems and can dispatch as many as 100 specialized agents at once. The source reports latency improvements of up to 4.5 times over single-agent execution. That design is suited to coordinated research, software development, multimodal analysis, and computer-use workflows in which separate strands of a task can proceed concurrently; its four instant and thinking operating combinations also support both direct responses and more deliberate problem solving.