we comprehensively benchmarked gpt-6.1 sol on document OCR tasks. compared to gpt-6 sol from a week ago (!), we see a sizable increase in ta…

we comprehensively benchmarked gpt-6.1 sol on document OCR tasks. compared to gpt-6 sol from a week ago (!), we see a sizable increase in table parsing capabilities and reading order, which is pleasantly surprising. gpt-6.1 sol has similar table parsing as gpt-6 astra. these are great results. frontier models are still typically an order of magnitude more expensive than cost-effective document parsing solutions, but this also means that there's a lot of alpha in improving capabilities at the "premium" end (>1c per page) of the spectrum too check out ParseBench: https://www.parsebench.ai/ for a comprehensive set of document parsing capabilities, check out llamaparse: https://cloud.llamaindex.ai/

We comprehensively benchmarked Opus 4.8 on document understanding tasks, and compared it to Opus 4.7. It's fairly apparent that Opus 4.8 was…
Unlimited OCR is a great model on table parsing and understanding proper reading order. However it does struggle a little on semantic format…
blank cells in tables can mess up agent decision making many document OCR tools struggle with reading multiple blank cells in a document and…

Source: Jerry Liu (X) | 2026-09-30

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