The paper presents IRSN's results of the OECD/NEA WPEC Subgroup 33 benchmark exercise which is focused upon combined use of differential and integral data using adjustment technique. The results are generated by BERING code using different sets of input data integral parameters and sensitivity coefficients for fast benchmark experiments and applications computed by deterministic ERANOS code and Monte Carlo SCALE sequences, COMMARA-2.0 and JENDL-4.0 cross-section-covariance data and integral correlations provided by JAEA. The paper demonstrates results of the adjustment when using different input data and two adjustment algorithms implemented in BERING. © 2014.