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Moonshot releases Kimi K2 Thinking reasoning model

Moonshot AIKimi models

Moonshot released Kimi K2 Thinking, a 1-trillion-parameter mixture-of-experts model that makes 200–300 consecutive tool calls while staying on task. It scored 44.9% on Humanity's Last Exam with tools, has a 256K context, and runs efficiently in 4-bit precision.

  • Only 32B parameters activate per token; native INT4 quantization achieves 2× speedup in low-latency mode via Quantization-Aware Training.
  • Achieves 99.1% on AIME25 with Python, 71.3% on SWE-bench Verified, and 60.2% on BrowseComp.
  • Released under Modified MIT License; optimized for vLLM, SGLang, and KTransformers inference engines.
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