Such classical growth models as Gompertz and Richards have been extensively used in broiler studies. This study was conducted to explore if 3 types of Hyperbolastic growth models known as H1 (generalized from logistic growth model), H2 (stand alone) and H3 (generalized from Wei¬¬bull growth model) may be empolyed to illustrate dynamic growth response of broilers and also how effective such models would be as compared with the classical growth models. A set of growth data were provided from 92 male broiler chicks reared from 1 to 56 days. Goodness of fit for individual growth model was determined using R2, MSE, RSD and Bias. The results of the present study indicate that, H3 could give a better fit (R2=0.99993) presumably due to its greater flexibility. In addition, H3 showed a higher accuracy and lower error (MSE= 264, RSD=16, Bias=0.5) than the other models, being followed by WeiBull, Gompertz, Richards H2 and H1 growth models, respectively. In the meantime, Logistic growth model appeared with the lowest accuracy (0.99898) and a highest error (3432). A general evaluation in this study revealed that H3 can be considered as a useful tool to fit broiler growth dataset, with the highest accuracy and a lowest error than the other growth models.