Mistral OCR 4
Mistral's document-parsing model that outputs bounding boxes, block classification, and confidence scores across 170 languages for enterprise RAG pipelines.
Overview
Mistral OCR 4, released June 23, 2026, is a document parsing and OCR model that extracts text alongside paragraph-level bounding boxes, typed-block classification (titles, tables, equations, signatures), and inline confidence scores. It ingests PDF, DOC, PPT, and OpenDocument files directly, supports 170 languages across 10 language groups, runs as a single self-hostable container, and processes up to 2,000 pages per minute on a single GPU as an ingestion layer for enterprise search, RAG, and retrieval pipelines.
This is a sourced directory entry. Features and capabilities are reported in the linked sources; this entry does not document independent Aymorphic testing.
Key features
- Bounding boxes, typed-block classification, and per-word confidence scores
- 170 languages across 10 language groups
- Native ingestion of PDF, DOC, PPT, and OpenDocument formats
- Single-container, self-hostable deployment
- Up to 2,000 pages/minute on a single GPU; 72% average human-preference win rate, OlmOCRBench score 85.20
Use cases
- Document ingestion for enterprise RAG and search pipelines
- Structured extraction from scanned or complex multi-format documents
- Self-hosted OCR for regulated or on-premises environments
Pricing
API: $4 per 1,000 pages ($2 per 1,000 via Batch API); Document AI: $5 per 1,000 pages.
Pricing reflects the source record and may change. Confirm current terms with the provider.
Dates and sources
- Released
- 23 Jun 2026
- Record updated
- 23 Sept 2026
- Record last checked
- 23 Sept 2026