Therapeutic implications of Li + , in many cases, stem from its ability to inhibit certain Mg 2+-dependent enzymes, where it interacts with or substitutes for Mg 2+. The underlying details of its action are, however, unknown. Molecular simulations can provide insight, but their reliability depends on how well they describe relative interactions of Li + and Mg 2+ with water and other biochemical groups. Here we explore, benchmark and recommend improvements to two simulation approaches, one that employs an all-atom polarizable molecular mechanics (MM) model, and the other that uses a hybrid quantum and molecular mechanics implementation of the quasi-chemical theory (QCT). The strength of the former is that it describes thermal motions explicitly, and that of latter is that it derives local contributions from electron densities. Reference data is taken from experiment, and also obtained systematically from CCSD(T) theory, followed by benchmarked vdW-inclusive density functional theory. We find that the QCT model predicts relative hydration energies and structures in agreement with experiment, and without need for additional parameterization. This implies that accurate descriptions of local interactions are essential. Consistent with this observation, recalibration of local interactions in the MM model, which reduces errors from 10.0 to 1.4 kcal/mol, also fixes aqueous phase properties. Finally, we show that ion-ligand transferability errors in the MM model can be reduced significantly from 10.3 to 1.2 kcal/mol by correcting the ligand's polarization term, and introducing Lennard-Jones cross-terms. In general, this work sets up systematic approaches to evaluate and improve molecular models of ions binding to proteins.