This study aims to compare different historical predictive master curve techniques which model the rheological properties of asphalt binders in terms of dynamic shear modulus (G*). The investigated models are the Sigmoidal model, Generalized Logistic Sigmoidal model (GLS), Christensen-Anderson model (CA), and Christensen-Anderson and Marasteanu (CAM) model. These models are applied on virgin and sulfur-extended asphalts (SEA). Two types of recycled plastic waste; recycled high-density polyethylene (RHDPE) and recycled low-density polyethylene (RLDPE) are used to modify both the virgin asphalt and SEA. The investigated models are employed to describe the rheological viscoelastic characteristics of the different investigated binders at different aging conditions under the influence of different frequencies and temperatures based on dynamic mechanical analysis (DMA). The results of this study show that the performance of the investigated models is affected by binder modification and aging conditions. The G* of virgin and sulfur asphalts (either modified or virgin) can be satisfactorily represented by all models investigated in this study under original and aged conditions. The most accurate model is the generalized modified sigmoidal model followed by the Sigmoidal model, the CAM Model, and CA Model, respectively