Overview
Kimi K2 Thinking builds on Kimi K2 as an agent that reasons while calling tools. Moonshot says it keeps coherent, goal-directed behavior across 200 to 300 consecutive tool invocations, and it uses quantization-aware training so that native INT4 weights run about twice as fast in low-latency mode.
Highlights
- 1T total, 32B active parameters
- 256K-token context window
- Interleaved reasoning and function calls
- Native INT4 quantization
- Modified MIT license
Typical uses
Research agents, coding agents and long, tool-heavy workflows.
Things to consider
- Self-hosting needs large multi-GPU servers.
- Moonshot notes that kimi.com chat uses fewer tools, so benchmark scores may not be reproducible there.
Specifications are taken from the model card on Hugging Face and the provider’s announcement. Benchmark results depend on evaluation settings; see how AI benchmarks work.