Reproducible and quantitative gas chromatography-mass spectrometry (GC-MS)-based metabolomics analysis of complex biological mixtures requires robust and broad-spectrum derivatization. We have evaluated derivatization of complex metabolite mixtures using trimethylsilyl cyanide (TMSCN) and the most commonly used silylation reagent N-methyl-N-(trimethylsilyl)trifluoroacetamide (MSTFA). For the comparative analysis, two metabolite mixtures, a standard complex mixture of 35 metabolites covering a range of amino acids, carbohydrates, small organic acids, phenolic acids, flavonoids and triterpenoids, and a phenolic extract of blueberry fruits were used. Four different derivatization methods, (1) direct silylation using TMSCN, (2) methoximation followed by TMSCN (M-TMSCN), (3) direct silylation using MSTFA, and (4) methoximation followed by MSTFA (M-MSTFA) were compared in terms of method sensitivity, repeatability, and derivatization reaction time. The derivatization methods were observed at 13 different derivatization times, 5 min to 60 h, for both metabolite mixtures. Fully automated sample derivatization and injection enabled excellent repeatability and precise method comparisons. At the optimal silylation times, peak intensities of 34 out of 35 metabolites of the standard mixture were up to five times higher using M-TMSCN compared with M-MSTFA. For direct silylation of the complex standard mixture, the TMSCN method was up to 54 times more sensitive than MSTFA. Similarly, all the metabolites detected from the blueberry extract showed up to 8.8 times higher intensities when derivatized using TMSCN than with MSTFA. Moreover, TMSCN-based silylation showed fewer artifact peaks, robust profiles, and higher reaction speed as compared with MSTFA. A method repeatability test revealed the following robustness of the four methods: TMSCN > M-TMSCN > M-MSTFA > MSTFA.