Papillary thyroid carcinomas (PTC) with BRAF (V600E) mutation are morphologically distinctive. They are typically classic or tall cell variants, show infiltrative borders, and are associated with desmoplasia/fibrosis, psammoma bodies, and well-developed nuclear features of papillary carcinoma. We hypothesize that morphologic features of PTC can help in the prediction of BRAF (V600E) mutation, and we evaluate the accuracy and the interobserver reproducibility of such prediction. Hematoxylin and eosin-stained sections from 50 PTCs comprising of 26 mutation-positive and 24 mutation-negative tumors were examined. BRAF (V600E) mutation was predicted correctly in 42/50 tumors (accuracy, 84 %) with 96 % sensitivity, 71 % specificity, and 78 % positive and 94 % negative predictive values (NPV). Subtle nuclear features of PTC (n = 10) had the highest (100 %) negative predictive value followed by well-circumscribed non-infiltrative tumor borders (17/22 mutation-negative tumors, 95 % NPV). The positive predictive value of infiltrative tumor borders (21/28 [75 %] mutation-positive), desmoplasia/fibrosis (23/31 [74 %] mutation-positive), and psammoma bodies (13/20 [65 %] mutation-positive) increased to 100 % when all three features were present (n = 8/8 mutation-positive). To assess interobserver reproducibility, two pathologists blinded to the mutational status evaluated 30 PTCs (15 mutation-positive and 15 mutation-negative) after self-training on 10 PTCs with known BRAF (V600E) mutational status (five mutation-positive and five mutation-negative). The prediction of the mutation was achieved with substantial agreement (κ value, 0.79) and accuracy (25/30, 83 %). This study demonstrates that BRAF (V600E) mutation in papillary thyroid carcinoma can be predicted on morphology with accuracy and with substantial interobserver agreement.