The introduction of Model-Based testing (MBT) in software development teams introduces change in software testing, as traditional testing processes are replaced by MBT. When planning for MBT adoption, team leaders can benefit from tools that are able to provide information on the cost of introducing MBT in their teams. We have developed and present a set of models, which, given a number of initial parameters such as employee competence and availability, as well as historic usage of data, can estimate costs for MBT adoption. These models are designed based on experience from previous practicing of MBT. To demonstrate the practical value of our models, we run a number of simulations on hypothetical MBT adoption and use scenarios, which can be realistically applied to different teams considering adopting MBT.