OpenRouter benchmarks 15 vision models on scanned-document OCR accuracy
11/10/2026 — 11/11, 01:20·1 sources (all)·1 reports (all)
Key takeaways
- OpenRouter created an 8-page scanned document and tested 15 vision models along with Mistral OCR and Tesseract, checking recognition accurac…
Background & analysis
On November 10, 2026, OpenRouter released a benchmark of OCR accuracy on scanned documents. The test used eight scanned pages drawn from text the team wrote, ran them through 15 vision models plus Mistral OCR and Tesseract, and checked every recognized value against the source. Claude Opus 5.5 came out as the most accurate, while Mistral OCR was the best value. The study has been released and no further testing or external response has been reported.
AI-generated from 1 reports · updated 3 days ago
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OpenRouter built eight scanned pages from its own text, ran them through 15 vision models plus Mistral OCR and Tesseract, and checked every extracted value. Claude Opus 5.5 came out most accurate, while Mistral OCR offered the best value.
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