Kimi K2 Thinking
About this model
Kimi K2 Thinking is Moonshot AI's reasoning-focused member of the Kimi K2 line: a large Mixture-of-Experts language model with one trillion total parameters and roughly 32 billion activated per token, trained to interleave step-by-step reasoning with function calls rather than thinking first and acting later. Where the earlier non-thinking K2 releases behaved as instruction-following chat models, this variant is positioned as a "thinking agent," and Moonshot notes it maintains coherent, goal-directed behaviour across 200β300 consecutive tool invocations, compared with prior models that the company says degrade after 30β50 steps.
Two engineering changes define the generational step. The context window is 256K tokens, and Moonshot states its benchmarks were run at that full length. Second, quantization-aware training is applied during post-training with INT4 weight-only quantization on the MoE blocks, giving native INT4 inference and roughly a 2x generation speed-up in low-latency mode without the quality loss typical of post-hoc quantization. On the figures published in Moonshot's own model card, the model reaches 44.9% on Humanity's Last Exam with tools and 60.2% on BrowseComp. An optional "Heavy Mode" rolls out eight trajectories in parallel and reflectively aggregates them into a single answer.
Within the wider Kimi catalogue, K2 Thinking sits between the K2 series and later releases: Kimi K2.5 and Kimi K2.6 continue the general-purpose line, Kimi K2.7 Code targets coding work, and Kimi K3 with Kimi K3 Fast follow as the next flagship generation. Open weights on Hugging Face make K2 Thinking the self-hostable option in that progression.
This About section is AI-generated from public sources (Claude Opus 5), with no human editing. It may contain inaccuracies β verify critical details against the sources listed above.
Data sources: Venice API Β· HuggingFace Β· Wikipedia β enrichment updated 2d ago