Animal disease models are important biological tools for basic medical research. Establishing an ideal animal model is a critical prerequisite for acquiring reliable experimental data. By enabling molecular-level characterization, omics technologies can enhance the precision of animal model assessments, thereby improving the evaluation criteria. This review summarizes the current applications of omics in evaluating animal disease models, discusses their potential for quality control implementation, and proposes novel frameworks for standardized model validation.