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The process of competitive grain growth under curvature-driven boundary migration is one of the most important microstructural evolution phenomena in the manufacturing of polycrystalline materials because it determines the final microstructures and resultant physical properties of materials.1–3) However, the experimental study of grain growth is severely limited by the high temperatures at which it occurs and the optical opacity of polycrystalline samples. Therefore, to systematically examine grain growth phenomena, numerical approaches have been developed using continuum-based grain growth models,4) including the Monte-Carlo,5–8) cellular automaton,8–11) vertex or front-tracking,12–17) surface evolver,18–20) and phase-field7,21–26) models. In particular, the phase-field method has become common because it can accurately address curvature-driven grain boundary migration without explicit boundary tracking. With the benefit of rapid developments in high-performance computing, recent phase-field simulations have enabled significant contributions toward elucidating various metallurgical processes, including grain Accuracy Evaluation of Phase-field Models for Grain Growth Simulation with Anisotropic Grain Boundary Properties