Genome-scale metabolic models (GEMs/GSMM) are cellular biochemical reaction networks of the genomic scale, which can quantitatively describe the relationship between genes and phenotypes,and be widely used in systems biology, metabolic engineering, environmental science and other fields. Microbial GEMs are constructed based on physiological and biochemical knowledge bases of microbial genomes to simulate the physiological and biochemical reactions of targeted microorganism via mathematic model. Microbial GEMs have become important tools for studying the regulation of microbial metabolism. The work flows of GEMs reconstruction usually included four steps:draft reconstruction, refinement reconstruction, conversion of reconstruction, network evaluation. Based on the introduction of the development process of GEMs represented by model microorganisms (Escherichia coli, Bacillus subtilis, and Saccharomyces cerevisiae), the current research status of the lactic acid bacteria GEMs was focused. The reconstructed lactic acid bacteria GEMs and its application were systemically introduced. The development direction of the lactic acid bacteria GEMs was prospected. The future research on lactic acid bacteria GEMs was proposed to build higher-quality metabolic and macromolecular expression models and pan-genome models on the basis of existing models, so as to provide more efficient tools for the research of lactic acid bacteria.