Abstract: 【Objective】 To explore the differences of metabolites among different chickpea varieties by using GC-MS analysis combined with cluster analysis and to analyze their non targeted metabonomics, so as to provide a theoretical basis for the development of chickpea food, health products and drugs. 【Methods】 The metabolites of 10 chickpea seeds were analyzed by GC-MS. 【Results】 146 compounds were detected from the tested materials, mainly including organic acids, fatty acids, amino acids, sugars, alcohols, phenols and nitrogen-containing compounds. After cluster analysis, it was found that the all the eight varieties contained the same distribution of some compounds for each major category of compounds, but D2016-10 and YZD80 accumulated their own specific content of compounds, while the content of the same accumulated compounds of the other eight varieties was significantly less. However, the accumulation of these D2016-10 and YZD80 two varieties was completely different, so they had their own specificity. Divide 10 chickpea varieties into 4 subcategories based on their Q values of compounds. 【Conclusion】 In general, the 10 different chickpea varieties contain a large number of acids, sugar alcohols and nitrogen-containing compounds, and the distribution of amino acids and their derivatives is relatively small.