BehaviorBench introduces a comprehensive benchmark to evaluate foundation models across four behavioral science capabilities: behavior prediction, strategic decision-making, subject-trait inference, and knowledge application. It assesses models at both individual and distributional levels, revealing that behavioral foundation models like Be.FM-1.5 achieve stronger distributional alignment than general-purpose models, highlighting the need for distributional evaluation in behavioral AI.