Crowd model evaluation is a key issue in virtual crowd simulation. Most studies use the error between the individual simulation trajectory and the real trajectory to evaluate the crowd model. However, crowd behavior is essentially a complex random system, and simple trajectory comparison cannot adequately reflect model capabilities. In this study, the model evaluation method based on entropy metric is used to achieve the accurate quantitative evaluation of crowd simulation by estimating the error distribution between the real crowd state and the simulated crowd state. In addition, the judgment and processing rules for distortion are introduced so that the evaluation method can be accurate under the simulated distortion. The experimental results show that the algorithm and rules proposed in this study can fully realize the quantitative evaluation of the crowd simulation model and provide guidance for the selection of model parameters.