ARB presents an exceptionally challenging set of questions designed to test the limits of large language models. Unlike other benchmarks, ARB includes not only numerical problems but also symbolic reasoning and proof-based questions, pushing models to demonstrate deeper understanding. Despite its strengths, even advanced models like GPT-4 can struggle with simple arithmetic in complex contexts, highlighting the nuances of machine reasoning.