The goal of this study was to evaluate the suitability of growth models to fit the growth data of metal resistant bacteria. The growth data obtained for chromium resistant isolates namely Bacillus cereus VITSH1 and Alcaligenes faecalis VITSIM2 cultured on nutrient agar amended with increasing concentrations Cr³⁺  Cu²⁺  and Cd²⁺  were fit into growth models. The traditional methods for enumerating bacteria are not instantaneous, therefore necessitates mathematical models to study the behavior of microbes in a specific experimental condition. The logistic and Gompertz models were applied to obtain the predicted microbial numbers and to evaluate the suitability of the models to study the growth pattern in metal stress conditions. The logistic model fit the experimental data and was found to be superior to the Gompertz model. The results suggested that the logistic model could be successfully applied to study the growth pattern of bacteria in metal stress conditions.