How do Mistral OCR, Docling and Reducto compare?

As of October 21, 2026 they solve three different problems. Mistral OCR 4.1 is a hosted OCR API at $4 per 1,000 pages ($2 with the Batch API, $5 per 1,000 annotated pages) that returns markdown with paragraph-level bounding boxes, block labels and confidence scores. Docling is IBM-originated, MIT-licensed open-source software (v2.141.0 released October 20, 2026) that runs on your own machines at no per-page fee. Reducto is a hosted document platform priced per endpoint: r-1 Parse $10, Extract $20 and Deep Extract $40 per 1,000 pages, with zero data retention and a HIPAA BAA on its Growth plan.

Which is the cheapest: Mistral OCR, Docling or Reducto?

Docling has no per-page fee; you pay only for CPU or GPU time. Among the hosted options, Mistral OCR 4.1 at $2 per 1,000 pages in batch is about one fifth of Reducto's r-1 Parse ($10 per 1,000 pages, $8 with Reducto's 20% batch discount). At one million pages a month that is roughly $2,000 for Mistral batch against $8,000 to $10,000 for Reducto Parse.

Which is the most accurate for complex documents?

For messy scans, rotated or multi-page tables and schema-based field extraction, Reducto is usually the safest choice because its Extract and Deep Extract endpoints return cited fields with bounding boxes and run agentic correction loops. Mistral OCR 4.1 is strong on general layouts and 170 languages at a much lower price. Docling is good on clean digital PDFs and Office files; on hard scans you tune it yourself or route those pages to a hosted API.

Can I use Docling and a hosted OCR API together?

Yes, and it is the common pattern in 2026: run Docling locally for the bulk of clean PDFs, DOCX and PPTX files, and route only the pages it fails on (low-confidence scans, dense tables) to Mistral OCR or Reducto. That keeps most data on your network and most of the per-page bill at zero.

Quick Answer

Mistral OCR vs Docling vs Reducto: Which to Use in 2026

Published: October 21, 2026

The short answer

Pick by where the documents may go and what you need back. As of October 21, 2026:

Mistral OCR 4.1 — the best-value hosted OCR: $4 per 1,000 pages, $2 in batch, markdown with bounding boxes and confidence scores. Default for RAG ingestion and general OCR when a cloud API is allowed.
Docling — the open-source pick: MIT licence, runs locally, no per-page fee. Default when documents cannot leave your network or volume makes any per-page price painful.
Reducto — the accuracy and compliance pick for hard documents: Parse $10, Extract $20, Deep Extract $40 per 1,000 pages, cited schema extraction, zero data retention and a BAA on Growth.

Many teams use two of the three: Docling for bulk, a hosted API for the hard pages.

The comparison

	Mistral OCR 4.1	Docling	Reducto
What it is	Hosted OCR model/API (`mistral-ocr-4-1`)	Open-source Python library, CLI and API server	Hosted parse, extract, split, classify platform
Price	$4 / 1,000 pages · $2 batch · $5 / 1,000 annotated pages	$0 + your compute	Parse $10 · Extract $20 · Deep Extract $40 · Classify $7.50 per 1,000 pages; −20% batch on Parse and Extract
Free start	Studio free plan / trial credits	Unlimited	$150 of usage (15,000 credits)
Output	Markdown, paragraph-level bounding boxes, block labels, block confidence	DoclingDocument JSON, Markdown, HTML, DocTags	Structured blocks and markdown; schema JSON with citations and boxes
Inputs	PDFs and images	PDF, DOCX, PPTX, XLSX, HTML, EPUB, images, audio, email and more	30+ file types incl. PDF, images, Office, spreadsheets
Languages	170 (per Mistral’s OCR 4 launch)	Depends on the OCR engine you plug in	Multilingual OCR
Where it runs	Mistral cloud (self-deployment via enterprise contract)	Your laptop, server or air-gapped cluster	Reducto cloud; EU/AU endpoints on Growth; VPC/on-prem on Enterprise
Compliance extras	Mistral enterprise terms	Whatever your own environment provides	ZDR, HIPAA BAA, SSO/SAML, RBAC (Growth/Enterprise)
Best for	Cheap, accurate OCR at scale	Privacy, Office formats, zero marginal cost	Messy documents where a wrong field is expensive

Prices are list USD read from the vendor pages on October 21, 2026.

Mistral OCR 4.1 — the hosted default

Mistral released OCR 4 on June 23, 2026 and OCR 4.1 on July 16, 2026; OCR 4.0 is now listed as retired in Mistral’s model docs, and mistral-ocr-latest points to 4.1. The model card lists $4 per 1,000 pages and $5 per 1,000 annotated pages, and the Batch API halves the OCR price to $2 per 1,000 pages. OCR 4.1 adds paragraph-level bounding boxes, structural block labels and block-level confidence scores, which is what you need to show citations in a RAG answer or to route low-confidence blocks to human review.

Choose it when a cloud API is acceptable and you want the lowest price per accurate page. Skip it when you need prebuilt invoice or ID schemas out of the box (use a hyperscaler or Reducto) or when nothing may leave your network.

Docling — the open-source workhorse

Docling is MIT-licensed and maintained under the LF AI & Data Foundation; v2.141.0 shipped on October 20, 2026, and the project releases several times a month. It parses far more than PDFs — DOCX, PPTX, XLSX, HTML, EPUB, Apple iWork, email, LaTeX and audio via ASR — and exports a lossless JSON document model plus Markdown and HTML. It understands page layout, reading order, table structure, code and formulas, can call vision-language models such as GraniteDocling, and its current release notes add NVIDIA’s Nemotron-3.5-Parse as a supported VLM. It also ships an MCP server and an API server, and plugs into LangChain, LlamaIndex, CrewAI and Haystack.

Choose it for air-gapped or regulated environments, for Office-heavy corpora, and for high volume where per-page fees dominate. Budget for GPU time if you turn on VLM pipelines, and for your own evaluation and tuning — there is no vendor to escalate a bad table to.

Reducto — accuracy and audit trails

Reducto prices each endpoint separately: r-1 Parse $10, Extract $20 (parsing included), Deep Extract $40, Split $20, Deep Split $40, Classify $7.50 (first five pages), Deep Classify $15 and Edit $60 per 1,000 pages, with 20% off Parse and Extract in batch and $150 of free usage. Standard accounts get 200 guaranteed concurrent pages; Growth adds volume discounts, zero data retention, a HIPAA Business Associate Agreement, EU/AU data-residency endpoints and unlimited Studio seats; VPC and on-prem deployment are Enterprise options. Reducto also offers up to $5,000 in migration credits for teams moving from another processor.

Choose it for contracts, claims, financial statements and scanned forms where every extracted field must be traceable to a box on the page. It is the most expensive per page and often the cheapest per correct field.

Which one for which job

RAG over a mixed document store, cloud allowed → Mistral OCR 4.1 batch.
Nothing may leave the building → Docling, with a GPU node for VLM mode.
Field extraction from ugly scans with an audit trail → Reducto Extract or Deep Extract.
Millions of pages, tight budget → Docling first pass, Mistral batch for the pages Docling scores poorly.
Healthcare data in the cloud → Reducto Growth (BAA) or your hyperscaler’s covered service.

For the wider field, including Google, Azure, Textract and LlamaParse, see the best OCR and document extraction APIs and what document extraction costs per page.

Last verified: October 21, 2026. Prices are list USD from Mistral’s OCR 4.1 model card and Reducto’s pricing page; Docling version from its GitHub releases.