Mistral OCR 3
Mistral's document OCR model — 74% win rate vs OCR 2, $2/1k pages, forms + handwriting
0Visit Mistral OCR 3
mistral.ai/news/mistral-ocr-3About Mistral OCR 3
Mistral's third-generation document intelligence model, released December 17, 2025. Mistral OCR 3 extracts text and embedded images from PDFs and scanned documents with 74% win rate over Mistral OCR 2, particularly on forms, handwriting, low-quality scans, and complex tables. Outputs markdown enriched with HTML-based table reconstruction (colspan/rowspan). Priced at $2 per 1,000 pages ($1 with Batch API). Powers the Document AI Playground in Mistral AI Studio — drag-and-drop PDF to clean text or structured JSON. Model ID: mistral-ocr-2512.
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Key Features
Mistral OCR 3 Pros & Cons
✅ Pros
- +74% win rate over Mistral OCR 2 — meaningful accuracy jump, especially on handwriting and forms
- +HTML table reconstruction preserves complex table structure (merged cells, multi-row blocks) that plain text OCR loses
- +At $2/1k pages ($1 batch), undercuts most enterprise OCR APIs on price
- +Document AI Playground enables non-developer use without API integration
- +Self-hosting option covers data-privacy-sensitive deployments
- +Backward compatible — existing mistral-ocr-2 integrations migrate without code changes
⚠️ Cons
- −No open weights — API-only (or self-hosting on request), not freely downloadable
- −Benchmark comparisons are Mistral-published; independent third-party evaluations not yet widely available
- −Structured JSON output is UI-based (Document AI Playground); programmatic JSON extraction requires downstream parsing of markdown
- −Pricing per page rather than per token makes cost estimation different from standard LLM APIs
Who Is Mistral OCR 3 Best For?
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