Opus 5.5’s document-parsing performance in a 16-model comparison
An evaluator rates Opus 5.5 best for performance relative to price among the frontier models tested, highlighting its table parsing—but recommends dedicated OCR for parsing at scale.
TLDR
In results shared September 26, 2026, an evaluator says they tested 16 frontier vision-language models to examine whether higher effort improved document parsing. They rate Opus 5.5 best for performance relative to price among those models, describe Astra as good but more expensive to start with, and call GPT-6 Luna more compelling at the cheaper end. For parsing at scale, they recommend a dedicated optical character recognition (OCR) solution such as LlamaParse, claiming better performance at a lower price. For parsing inside a coding agent without a dedicated integration, they call Opus 5.5 the leader. They link to ParseBench for the full results.
