The Goettingen minipig developed at the University of Goettingen, Germany, is a special breed for medical research. As a laboratory animal it has to be as small and light as possible to facilitate the handling during experiments. For achieving the breeding goal 'small body size' in the future, the growth pattern of the minipig was studied. This study deals with the analysis of minipig body weight development by modeling growth curves with different non-linear and linear functions and the comparison to the body weight development of normal fattening pigs. Data were provided by Ellegaard Goettingen minipigs, Denmark, where two sub-populations of the Goettingen basis population are housed. In total 189,725 body weight recordings of 33,704 animals collected from birth (d 0) to 700 d of age were analyzed. Seven different non-linear growth functions and four different polynomial functions were applied. The different growth models were compared by using the Akaike's Information Criterion (AIC). Regarding the whole growth curve linear polynomials of third and fourth order of fit had the smallest AIC values indicating the best fit for the used minipig body weight data. Among the nonlinear functions the Logistic had the highest AIC value. A comparison with fattening pigs showed that the minipigs have a nearly linear body weight development in the time period from birth to 160 d. Fattening pigs have very low weight gains in their first 7 weeks in relation to a specific end weight. After 7 weeks fattening pigs have an increasing body weight development resulting in a growth curve that is more s-shaped than the growth curve of the minipig. Based on these results further studies can be conducted to analyze the growth with random regression models and to estimate variance components for optimizing the strategies in minipig breeding.