Two GPT LMMs achieved 5/5 top scores answering Prompt A, which represents the first time any LMM has analyzed and provided generally accurate stepwise explanations for five spectra, and then combined this information to predict the correct chemical structure, to the author's best understanding. Achieving these types of results more consistently and with more input data will likely improve as a) data fusion of different data types improves, b) optical character recognition is enhanced, and c) context windows are further increased to make existing economical artificial intelligence software both better and faster.