The introduction of GENSTRAT aims to enhance the evaluation of large language models (LLMs) by using procedurally generated strategic environments, allowing for more accurate predictions of their behavior in real-world applications. The study reveals that while newer models perform better on average, they exhibit distinct capability profiles that could influence their deployment effectiveness.