
Mistral OCR
Document understanding API: 94.89% accuracy, 2000 pages/min, $1 per 1000 pages.
About
Mistral OCR is Mistral AI's document understanding API, launched March 6, 2025 as 'the world's best document understanding API.' It converts PDFs and images into structured Markdown/JSON, handling complex layouts, interleaved images, tables, mathematical expressions, and LaTeX formatting while preserving document structure. Mistral reports 94.89% accuracy versus 83.42% for Google Document AI and 89.52% for Azure OCR, with throughput up to 2,000 pages per minute and multilingual support across thousands of scripts. Pricing is aggressive at $1 per 1,000 pages (batch: $0.50), and it plugs into RAG pipelines as the extraction layer. Later versions (OCR 3, OCR 4) added bounding boxes, confidence scores, and schema-driven annotation.\n\nThe honest picture: the accuracy figures are Mistral's own benchmarks — independent verification is thin, and 'world's best' is marketing. It's API-only (with selective on-premise for enterprises), so no open weights and no offline use. Documents cap at 50MB/1,000 pages per request. The OCR 3/4 upgrades raised prices ($2-4 per 1K pages), so the famous $1/1K pricing applies to the original tier via batch. Even with those caveats, it became the default document-extraction layer for RAG stacks in 2025, which says a lot about how well the core product works.
Specs
Context window
Pricing
Free quota
API access
Weights
Released
Benchmarks
Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.
Use cases
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 48; Trending score 82/100 from researcher assessment.