Reactive precipitation is an important research topic in chemical engineering because of its numerous industrial applications in the formation of nanoparticles. Recently, computational fluid dynamics (CFD) has been successfully coupled with micromixing models and probability density function (PDF) methods to predict the effect of mixing on the particle size distribution. The micromixing model is generally based on the presumed PDF method. The objective of this work is to compare multienvironment-presumed PDFs and a recently proposed direct-quadrature-method-of-moments-interaction-by-exchangewith-the-mean (DQMOM-IEM) micromixing model with transported PDF predictions for the simulation of reactive precipitation, including simultaneous mixing-limited reaction, nucleation, and growth in a plug-flow reactor. DQMOM is applied to