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Mistral OCR

Document understanding API: 94.89% accuracy, 2000 pages/min, $1 per 1000 pages.

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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

Closed — API only

Released

March 6, 2025

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

ocrdocument-airagdata-extractionenterprise

Trust score — 8/10

/10 trustVerified

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.

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Sources