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Background: A robust and stable phylogenetic framework is a fundamental goal of evolutionary biology. As the third largest insect order following by Diptera and Coleoptera in the world, lepidoptera (butterflies and moths) play a central role in almost every terrestrial ecosystem as the indicators of environmental change and serve as important models for biologists exploring questions related to ecology and evolutionary biology. However, for such charismatic insect group, the higher-level phylogenetic relationships among its superfamilies are still poorly unresolved. Results: we increased taxon sampling among Lepidoptera (40 superfamilies and 76 families contained 286 taxa) and filtered the unqualified samples, then acquired a series of large amino-acid datasets from 69,680 to 400,330 for phylogenomic reconstructions. Using these datasets, we explored the effect of different taxon sampling on tree topology by considering a series of systematic errors using ML and BI methods. Moreover, we also tested the effectiveness in topology robustness among the three ML-based models. The results showed that taxon sampling is an important determinant in tree robustness of accurate lepidopteran phylogenetic estimation. Long-branch attraction (LBA) caused by site-wise heterogeneity is a significant source of bias given rise to topologies divergence of ditrysia in phylogenomic reconstruction. Phylogenetic inference showed a most comprehensive framework by far to reveal the relationships among lepidopteran superfamilies, but limited by taxon sampling, it could only represent the current understanding of the lepidopteran tree of life. The relationships within the species-rich and relatively rapid radiation Ditrysia and especially Apoditrysia remain poorly unresolved, which need to increase taxon sampling and adopt lineage-specific genes for further phylogenomic reconstruction. Conclusions: The present study further expands the taxon sampling of lepidopteran phylogeny and provides a potential phylogenomic foundation for further understanding its current higher-level relationships.