Kimi K2

In a benchmark test simulating social dynamics, seven LLMs played the game Werewolf. GPT-5 significantly outperformed the others with a 96.7% win rate, demonstrating superior strategic thinking and manipulation skills. Other models, including Qwen3 and Kimi-K2, showed respectable performance. Analysis revealed distinct personality traits in each model; for example, Kimi-K2 exhibited aggressive tactics. The experiment highlights the importance of social skills for AI agents operating within human teams, alongside traditional benchmarks.

Kimi’s K2 model launched with open-source architecture and disruptive pricing, claiming superior code generation to Claude Sonnet4. Dangbei AI, a Chinese AI platform, is among the first to integrate K2 into its “super AI toolbox,” complementing DeepSeek R1-0528 and Doubao Large Model 1.6. K2’s strengths include its accessible architecture and low cost (4 yuan per million tokens). Dangbei AI’s integration strategy focuses on comprehensive scenario coverage with seamless model switching and end-to-end solutions, alongside features like no-login access and incognito mode.