This research reports the analysis by using GGE biplot methodology, for seed yield of 7 genotypes of soybean (Glycine max L.) grown at 2 locations (Baghdad and Salah din) in Iraq over 2 successive seasons 2008 and 2009 combined to give four environments to determine yield stability and performance of genotypes. The experiments were carried out using a randomized complete block design with three replicates in each experiment. The main effect of genotypes was highly significant and the genotype x environment interaction was significant. F415 genotype produced significantly higher yields 2.47 and 2.42 t .h-1 at Saladin 2008 and Baghdad 2009 and G111genotype produced 2.73 and 2.53 t .h-1 at Baghdad 2008 and 2009 respectively. The GGE biplot analysis showed that F415 was the most desirable genotype across all environments followed by G111 and SE22 and high yield was associated with stability across environments. It could be concluded that GGE-biplot represented on ercellent toolbox for agronomists, plant breeders, geneticists and biometricians to interpret and understand GEI data in METs to assess gene action and quantitative traits loci. That technique was effective to derive the most stable genotype with high yield and in extracting stable genotype with high yield. The F415 and G111 genotypes were the best for being more stable than others for comparing soybean genotypes for stability.