Cognitive models are – due to their computational nature – useful for the development and improvement of artificial cognitive systems. However, if two models perform equally well on the existent data, comparing them directly can permit us to select the more appropriate one. One way of comparing to models is to perform an in-depth analysis of their predictions. In this study, we compared the predictions of two similar cognitive models of spatial language comprehension using the Parameter Space Partitioning (PSP) algorithm proposed by Pitt, Kim, Navarro, and Myung (2006).