To address GxE interaction (GEI), multi-environment testing is necessary for the development of new high-performance and stable cultivars. Using the Additive Main Effects and Multiplicative Interaction Model (AMMI) models, grain yield in rice hybrids was evaluated for adaptability and stability. Seven trials were carried out in Pakistan’s principal rice-producing regions during the kharif season of 2020–2021. With hybrid-by-location interaction, ANOVA showed substantial differences in genotype (G), environment (E), and their interaction (GxE), which accounted for 20%, 67%, and 18% of the overall variation, respectively. The first and second principal components of the AMMI biplot models explained 36% and 21% of the GEI, respectively. The hybrid LPSA-04 (H21) as better average performance indicated good adaptability and stability. The hybrid HDR-16 (H49) also stood out with average yield 7258 kg/ha in seven tested locations. Diamond-121 (C) (H70) had a moderate yield (6604 kg/ha) and was the most stable of the two checks (Diamond-121 and GNY-53). To the contrary, the AMMI and GGE biplot models found that FB-1803(H40) and IQS-938 (H9) had high but unstable performances, with special adaptation to the locality Dokri, Sindh (L1). The best-performing genotypes were 137-H (H16) and V-GRO-177 (H4), which were found in two mega environments viz., Dokri 9796 kg/ha and 9617kg/ha: 8600 and 8870kg/ha in Farooq Abad location respectively. In terms of determining the places that are most representative and discriminatory, Gularchi (L5) was found to be the most representative, but genotype discrimination was better at Dokri, site L1. In general, the GEI study benefited from more thorough and insightful insights from the GGE biplot analysis.