Mistral OCR 3 launches at $2 per 1,000 pages with 74% win rate over previous version

Mistral AI released OCR 3 (model ID: mistral-ocr-2512), a document parsing model priced at $2 per 1,000 pages, or $1 per 1,000 pages using the batch API. The company claims a 74% overall win rate compared to its previous OCR 2 model across forms, scanned documents, complex tables, and handwriting.

Pricing and availability

• Standard API: $2 per 1,000 pages
• Batch API: $1 per 1,000 pages (50% discount)
• Available now via API and Document AI Playground in Mistral AI Studio
• Self-hosting option available for organizations with data privacy requirements
• Fully backward compatible with Mistral OCR 2

Technical capabilities

Mistral OCR 3 extracts text and embedded images from documents, outputting markdown with HTML-based table reconstruction. The model handles:

• Handwriting: Cursive text, mixed-content annotations, and handwritten entries on printed forms
• Forms: Invoice processing, receipts, compliance forms, and government documents with improved box and label detection
• Low-quality scans: Handles compression artifacts, skew, distortion, low DPI, and background noise
• Complex tables: Reconstructs structures with headers, merged cells, multi-row blocks, and column hierarchies using HTML tags with colspan/rowspan attributes

Benchmarks

Mistral AI evaluated OCR 3 on internal benchmarks based on customer use cases, comparing outputs to ground truth using fuzzy-match metrics. The company claims the model outperforms "enterprise document processing solutions as well as AI-native OCR solutions," though specific competitor comparisons and benchmark scores were not disclosed.

According to Mistral AI, OCR 3 represents "a significant upgrade across all languages and document form factors" compared to OCR 2. The company describes it as "a much smaller model than most competitive solutions."

Customer applications

Early customers are using Mistral OCR 3 for:

• Invoice processing into structured fields
• Company archive digitization
• Clean text extraction from technical and scientific reports
• Enterprise search enhancement
• Document-to-knowledge transformation pipelines

What this means

Mistral's aggressive pricing at $1-2 per 1,000 pages positions OCR 3 as a cost-competitive alternative to existing document processing services. The 74% win rate claim suggests substantial improvements over the previous generation, though the lack of third-party benchmarks or specific competitor comparisons makes independent verification difficult. The model's smaller size, if accurate, could enable faster processing and lower compute costs for high-volume document workflows. Self-hosting availability addresses enterprise compliance requirements that often block cloud-based document processing adoption.