A research framework that systematically benchmarks large language models across diverse reasoning domains including mathematics, science, symbolic manipulation, coding, and factual accuracy. It provides standardized evaluation datasets and metrics to measure model performance on challenging tasks, with a focus on assessing chain-of-thought reasoning capabilities. The work includes implementations for multiple benchmarks like GSM8K, MATH, TheoremQA, BBH, MMLU, and HumanEval.