This study benchmarks two open-source cardiac simulators, MonoAlg3D (GPU) and openCARP (MPI), across scenarios of increasing complexity. Despite producing numerically congruent results, their performance profiles revealed distinct architectural strengths. MonoAlg3D on a single GPU demonstrated a computational efficiency comparable to openCARP when parallelized across many CPU cores. These findings highlight two distinct parallelization paradigms: MonoAlg3D is optimized for high-throughput simulations on single GPU nodes, while openCARP is designed for large-scale distributed computing on HPC clusters.