The prediction of settling velocity of particles is critical for modeling sedimentation and fluidization processes. The goal of this communication is to review the available settling velocity models, their applicability and limitation. Several approaches have targeted the problem including analytical, semi-empirical and empirical methodologies. The analytical methods are exact but limited to very slow region and dilute systems. Macroscopic and empirical models show efficient predicting capabilities suitable for sedimentation design. But they are limited to the suspension investigated. Thus, they cannot predict settling velocity based on particle size or density. The Vesilind model is considered the leading macroscopic model for best fit with data. Hydrodynamic and particle-particle interaction models are useful for predicting hindered settling with particle size and density distribution, but they cannot provide accurate flux curve in comparison with empirical settling models. Comparison of particle-particle and particle-liquid interaction models revealed that the Garside and Al-Dibouni correlation coupled with the Selim, Kothari and Turian model as well as Richardson and Zaki's coupled with Masliyah's model provided the best fit with experimental data among these models.