The identification of parameters within dynamical systems using measurements is a well-understood but effortful endeavor. To simplify the required steps, we present TOPAS Model Fitting, a software that covers aspects such as measurement preprocessing, optimization-based parameter identification, and post-optimal system simulation in a user-friendly, graphical interface-based way. The tool provides established methods such as single and multiple shooting, full discretization, and gradient matching. In this paper, they are applied to an extensive set of test problems. As only their default configurations are used, the results demonstrate the tool’s ability to solve a wide range of problems. They reveal that multiple shooting and full discretization are to be preferred, while the necessity of deploying multiple methods also becomes evident.