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Mistral OCR 4 leads new open OCR crop
Benchmark Mistral OCR 4 (85.2 OlmOCRBench, 72% human-preferred) and open-weight lift/Surya 2 against your doc pipeline before committing.
Mistral AI
· Mistral AI
Mistral OCR 4 launches with bounding boxes, block classification, confidence scores, 170-language support, and 85.20 on OlmOCRBench — top among tested models.
Vik Paruchuri
· Datalab
Surya 2 is a 650M-param OCR model hitting 83.3% on OlmOCR benchmark via character tokenization for improved accuracy and smaller size.
The Decoder
· The Decoder
Mistral OCR 4 claims 72% win rate in blind tests across 600+ docs, with block classification, confidence scores, and 170-language support.
TestingCatalog
· TestingCatalog
Mistral OCR 4 supports 170 languages with bounding boxes, block classification, and confidence scores, claiming 72% win rate over competitors.
MarkTechPost
· MarkTechPost
Datalab's lift is a 9B open-weights vision model hitting 90.2% field accuracy on structured JSON extraction from PDFs via schema-constrained decoding.
