This table compares the performance of various AI models across different metrics such as total scores, pass rates, refinement, failure rates, and more.
How is the data collected?
Data is collected through standardized benchmarks and tests designed to evaluate AI models on various tasks, including reasoning, STEM, utility, coding, and censorship.