The results published by Mistral AI do not separate the two: together, they account for 85.5% of greenhouse gases. Training happens once, whereas answers accumulate with use, so the longer a model is in use, the larger the share of answers becomes. The trial runs that precede training, which are rarely published, added 50% to training emissions in a study that measured them.
Read the source article: AI life cycle assessment: Mistral AI's results by stage