Kimi K2.6 is Moonshot AI's open-weight flagship model. It is a 1T-parameter Mixture-of-Experts architecture with 32B active parameters per token, a 256K context window, and native INT4 quantization via Quantization-Aware Training, offering improved inference speed and reduced GPU memory usage. It accepts text and image input and is tuned for long-horizon agentic coding, supporting continuous work, sequential tool calls without drift, and large-scale agent swarms. It is designed for coding, motion-rich frontend generation, and complex multi-agent workflows.
Kimi K2.6 is Moonshot AI's open-weight flagship model. It is a 1T-parameter Mixture-of-Experts architecture with 32B active parameters per token, a 256K context window, and native INT4 quantization via Quantization-Aware Training, offering improved inference speed and reduced GPU memory usage. It accepts text and image input and is tuned for long-horizon agentic coding, supporting continuous work, sequential tool calls without drift, and large-scale agent swarms. It is designed for coding, motion-rich frontend generation, and complex multi-agent workflows.