This paper introduces the Token Efficiency Index (TEI), a peer-benchmarked composite indicator that quantifies AI token spend efficiency into a single 0-100 score. It uses established methods like Benefit of the Doubt Data Envelopment Analysis with a robust order-m extension to provide an adaptive, outlier-resistant framework for optimizing AI costs.