The search for more sustainable transportation alternatives, with the use of fewer resources and with less impact on the environment, is increasing. This research aims to evaluate the ecoefficiency of light vehicles for cargo transportation, through decision support methods, to guide the choice of the alternative with better economic and environmental performance. The performance evaluation of these vehicles was developed using a hybrid model composed of two known multicriteria decision techniques to classify the alternatives: AHP and TOPSIS. This model was considered robust and quite adequate to solve this type of problem. The results of this article aim to identify the performance level of the vehicles and to elaborate a ranking based on ecoefficiency, which will help to guide the judgment of the decision makers in the choice of the vehicle.