Kimi-K2-Instruct

项目介绍

Kimi K2 is a state-of-the-art mixture-of-experts (MoE) language model with 32 billion activated parameters and 1 trillion total parameters. Trained with the Muon optimizer, Kimi K2 achieves exceptional performance across frontier knowledge, reasoning, and coding tasks while being meticulously optimized for agentic capabilities.

Benchmark Metric Kimi K2 Instruct DeepSeek-V3-0324 Qwen3-235B-A22B (non-thinking) Claude Sonnet 4 (w/o extended thinking) Claude Opus 4 (w/o extended thinking) GPT-4.1 Gemini 2.5 Flash Preview (05-20)

LiveCodeBench v6(Aug 24 - May 25) Pass@1 53.7 46.9 37.0 48.5 47.4 44.7 44.7

OJBench Pass@1 27.1 24.0 11.3 15.3 19.6 19.5 19.5

MultiPL-E Pass@1 85.7 83.1 78.2 88.6…

摘自 modelscope.cn/models/moonshotai/Kimi-K2-Instruct