Summary
Researchers benchmarked 18 LLMs on Optical Character Recognition (OCR) using over 7,000 calls, revealing that many cheaper and older models frequently outperform newer, more expensive flagship models. This finding suggests that numerous teams are overpaying for LLM-based OCR or are stuck with inefficient legacy systems. They have open-sourced their dataset, benchmarking framework, and a tool to help others optimize their document extraction workflows and avoid unnecessary costs.
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