SAN FRANCISCO: Smallest open source model to outperform GPT-4o-mini as an evaluator SAN FRANCISCO, Dec. 19, 2024 /PRNewswire/ — Patronus AI today announced the release of GLIDER, its groundbreaking 3.8B parameter model designed as a fast, flexible, and explainable judge for language models. The new open-source model is the smallest model to outperform GPT-4o-mini used as an evaluator, offering institutions a fast and cost-effective solution for evaluations without sacrificing quality. Traditional proprietary LLMs like GPT-4 are widely used to evaluate the performance and accuracy of other language models, but they come with their own challenges—high costs, limited scalability, and a lack of transparency. Developers often end up relying on opaque outputs without understanding why something was scored the way it was.