The article discusses the benchmarking of various open-source models for optical character recognition (OCR), highlighting their performance and capabilities. It provides insights into the strengths and weaknesses of different models, aiming to guide developers in selecting the best tools for their OCR needs.

The Epoch Capabilities Index (ECI) is a composite metric that integrates scores from 39 AI benchmarks into a unified scale for evaluating and comparing model capabilities over time. Utilizing Item Response Theory, the ECI provides a statistical framework to assess model performance against benchmark difficulty, allowing for consistent scoring of AI models such as Claude 3.5 and GPT-5. Future details on the methodology will be published in an upcoming paper funded by Google DeepMind.