deepseek-ai
deepseek-ai/DeepSeek-OCR-2
Hugging Face repository for Image-text-to-text.
Accepts
- Image input
- Text input
Produces
- Text output
AI model comparison
Compare pricing, context limits, supported inputs and deployment options to choose a model for your workflow.
Mistral OCR 4.1 is a hosted document-extraction interface. DeepSeek OCR 2 is a downloadable OCR checkpoint. Select the output you need before comparing them: readable text, preserved layout and validated fields are separate acceptance requirements.
Include a clean scan, a multi-column page, a table and a poor-quality source. Compare the extracted result against the actual page. Check reading order, missing cells, headings and small characters. One clean paragraph is not a sufficient OCR evaluation.
Review OCR 4.1’s documented structured and annotation options. For a local checkpoint, inspect its supported preprocessing and output format. Keep errors from image resizing separate from errors in recognition or layout reconstruction.
Mistral’s API uses a page-based price schedule, with annotation options priced separately. A local checkpoint requires runtime and compute costs. Compare accepted pages, upload handling and retries, rather than treating a weight download as free production extraction.
deepseek-ai
Hugging Face repository for Image-text-to-text.
Accepts
Produces
Mistral AI
Mistral OCR 4.1 is a document-processing service for extracting text, structure and layout information from supplied pages.
Accepts
Produces
Specifications
| Specification | deepseek-ai/DeepSeek-OCR-2 | Mistral OCR 4.1 |
|---|---|---|
| Provider | deepseek-ai | Mistral AI |
| Listed pricing route | deepseek-ai | Mistral AI |
| Model family | — | — |
| Accepted inputs | image, text | image, pdf |
| Produced outputs | text | text |
| Reasoning mode | Not documented | Not documented |
| Tool calling | Not documented | Not documented |
| Image input | Documented | Documented |
| Audio input | Not documented | Not documented |
| Structured output | Not documented | Not documented |
| License | Not documented | Publisher terms |
Workload guidance
If the result feeds an invoice or document workflow, validate the fields required by that workflow. A readable Markdown page can still contain an incorrect total or merge two unrelated table rows.
Choose a hosted route when its output format and operations fit the application; evaluate local OCR when deployment control is important and you can run the documented pipeline. Preserve the source page and error examples. This guide provides evaluation criteria and source links, rather than an independent accuracy score.
This is a documentation-based selection guide, not an independent benchmark. Publisher source 1 · Publisher source 2.
Explore each model’s features, API requirements and licence terms in the sources below.
deepseek-ai/DeepSeek-OCR-2
deepseek-ai
Profile updated Oct 13, 2026
Models.dev specification record ↗Mistral OCR 4.1
Mistral AI
Profile updated Oct 7, 2026
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