LinearSolveBench is a new benchmark designed to advance algorithms for solving large sparse linear systems and to measure AI models' ability to discover such algorithms. It includes 9,984–113,664 row matrices from FLASH magnetic-diffusion problems and spans applications across power grids, fusion energy, quantitative finance, structural mechanics, and fluid dynamics.