A new framework for evaluating reasoning in large language models (LLMs) has been introduced, utilizing a benchmark of 474 executable games to assess their performance across various difficulty levels. The study reveals significant disparities in interaction efficiency and success rates among LLMs, highlighting the impact of contextual changes on their reasoning capabilities.