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In the field of food analysis and regulation, different instruments are used to determine the accuracy of quantification values. This is essential, as inconsistencies in values are commonly encountered. To visualize the degree of these discrepancies in each food matrix, we compiled a validation study based on a routine method developed in our laboratory, for 121 pesticides in six agricultural products, namely the grapefruit, potato, paprika, cabbage, spinach, and brown rice. These were analyzed by GC-MS/MS and LC-MS/MS, and the results were compared mainly on the basis of trueness. According to the results of the validation study when using GC-MS/MS, of the 121 pesticides tested in each product class, the number of analytes that satisfied the criteria of the Japanese validation guidelines was 97 in grapefruit, 111 in potato, 110 in paprika, 118 in cabbage, 111 in spinach, and 63 in brown rice. In contrast, in the analysis of the same samples by using LC-MS/MS, the number of analytes that satisfied the criteria of the validation guidelines was 50 in grapefruit, 114 in potato, 103 in paprika, 112 in cabbage, 100 in spinach, and 103 in brown rice. Inconsistences in the differences of trueness were mainly attributed to matrix effects of each instrument, as well as to food matrices, of which the most diverged matrix was that of brown rice (over 20％). [ABSTRACT FROM AUTHOR]