In this work, we present a systematic parameterization and expansion of the whole Martini 3 lipidome, focusing on addressing the limitations of Martini 2 . Our approach includes a redefined mapping scheme and integrates both bottom-up fitting of CG parameters to CHARMM36 with top-down validation against experimental bilayer properties. This parameterization strategy, coupled with a new mapping scheme and optimized tail representations, massively expands the current Martini lipidome resulting in the release of thousands of new lipid models. These improvements significantly enhance the accuracy of Martini 3 lipid models in capturing key biophysical properties, such as gel-fluid transition temperatures and membrane phase behavior in ternary mixtures. Additionally, we demonstrate several applications of using the reparametrized lipids in modeling complex membrane compositions and topologies important to cellular life, as well as mapping protein-lipid interactions, highlighting the advantages of the expanded Martini 3 lipidome to both academia and industrial applications.