Computational mechanics is essential for assessing the structural integrity of historical masonry buildings, especially those with irregular shapes and complex material compositions. Traditional numerical methods—such as the Finite Element Method (FEM) for continuous modeling and Discrete Element Method (DEM) or Non-Smooth Contact Dynamics (NSCD) for discontinuous modeling—are commonly used. However, each approach has its own limitations. They often require extensive input data, intricate definitions of failure criteria, and significant computational resources. For example, FEM struggles with accurately representing discontinuities, while DEM, although better at capturing such behavior, can be computationally expensive and difficult to calibrate.To address these challenges, this study explores a novel alternative using Blender, a 3D modeling platform, as a lightweight tool for simulating structural responses up to the point of collapse. By utilizing point-based geometric data, Blender is tested on case studies of historical buildings damaged in the 2016 Central Italy earthquake sequence. Its performance is then compared to that of conventional FEM and DEM/NSCD simulations.While Blender cannot fully model complex discontinuous failure mechanisms, it successfully replicates key mechanical behaviors—like stiffness distribution and deformation patterns—with much less computational effort. This makes it a promising tool for quick, preliminary structural assessments, particularly for intricate heritage structures where time and computational resources are limited.