Prompt C contained the greatest number of spectra or data at 9: EI-MS, IR, 1H-NMR full, 2 1H-NMR zoom, Table, 13C-NMR, and 2 DEPT-NMR spectra seen in Figure . The prior Kawchak, K. study showed high performance using LMMs for broad utility based on different NMR spectra, mass spectrometry, reaction recommendations, and enzyme interactions . This study provided a greater challenge to LMMs by utilizing many pieces of information simultaneously to yield a correct chemical compound prediction combined with natural language processing. The results revealed current LMM technical limits, and builds upon the 2024 work of Park, N., et al that used similarity searches with LLMs and an OpenClip image model to analyze 1H-NMR and 13C-NMR spectra .