I reduced image-processing token usage by ~95% compared with GPT-4o direct vision, while maintaining roughly the same accuracy.How significant is that?[P]

A developer has significantly reduced the token usage for image-based LLM inference by approximately 95% compared to GPT-4o direct vision, while maintaining similar accuracy. This new approach was evaluated on the MOMA Graph benchmark using 1,315 questions. The developer is seeking feedback from experts in multimodal models, VLM efficiency, or inference optimization regarding the significance of this achievement.

This report details a 95% reduction in image-processing token usage compared to GPT-4o direct vision, unlike other reports that focus on general efficiency improvements.