This study was carried out to assess different mathematical models on how they can best describe the body weight of mixed breeds growing rabbit bucks. A total of thirty-two (32) mixed breeds growing rabbit bucks between ages 6 and 7 weeks were raised for 8 weeks and the body weight was measured on weekly basis. The rabbits were kept individually in separate cages. The growth models were fitted to the body weight related to age via a non-linear procedure, using the Marquardt algorithm of J.M.P 13.2 statistical software. The body weights collected were subjected to five mathematical models (Logistic 3, Gompertz 3, Gompertz 4, Logistic 4, and Logistic 5) to predict the growth of 32 mixed breeds of rabbits. All five models performed well with the same coefficient of determination values. However, the Logistic 3 model performed better because lower AIC, BIC, and RMSE (879.49, 887.66, and 164.48, respectively) were obtained in the model. The findings in this study may be exploited in mapping out appropriate management practices geared towards increased productivity of mixed breeds of rabbit bucks in the tropic.