Kimi K2.5

Kimi K2.5 is a native multimodal mixture-of-experts model with 1 trillion total parameters and 32 billion active parameters, built through continual pretraining on approximately 15 trillion mixed visual and text tokens atop Kimi-K2-Base. It delivers state-of-the-art performance in visual coding, agentic tool use, and multi-agent orchestration — supporting both instant and thinking modes, agent swarm coordination of up to 100 sub-agents, and seamless integration of vision and language across conversational and agentic workflows.

Features

Serverless API

Kimi K 2.5 is available via sciforium' serverless API, where you pay per token. There are several ways to call the sciforium API, including sciforium' Python client, the REST API, or OpenAI's Python client.

Docs

Agentic Capabilities

Built for complex multi-step tasks with native agentic architecture. Excels at research synthesis, code generation, and iterative problem solving.

Docs
MiniMax  M2.5
Kimi K2.5
GLM 5
DeepSeek V3.2
gpt-oss-120b
gpt-oss-20b
Qwen3 Instruct
Qwen3 Thinking
Qwen3 Coder
Qwen3.5
Qwen3 VL Instruct
Qwen3 ASR
Qwen-Image
Qwen-Image-Edit
Flux2
Stable Diffusion 3.5
Hunyuan Image
Z-Image
Wan2.2-I2V
Wan2.2-T2V
Hunyuan Image
Z-Image