Nanonets-OCR vs Qwen-VL
Nanonets-OCR is faster; only Nanonets-OCR supports forms; only Qwen-VL supports handwriting, bounding boxes.
Nanonets-OCRnanonets/nanonets-ocr | Qwen-VLqwen/qwen-vl | |
|---|---|---|
| Type | Open source | Open source |
| Price | 2 credits / page | 2 credits / page |
| Per 1,000 pages | $2.00 | $2.00 |
| Typical speed | 1.8 s / page | 2.0 s / page |
| Best for | Markdown with semantic tags | Flexible extraction with prompts |
| Inputs | PDF, images | PDF, images |
| Languages | Multilingual | 30+ languages |
| Max pages per request | 500 | 200 |
| Tables | ✓ Yes | ✓ Yes |
| Handwriting | No | ✓ Yes |
| Math | ✓ Yes | ✓ Yes |
| Bounding boxes | No | ✓ Yes |
| Confidence | No | No |
| Forms | ✓ Yes | No |
| Multilingual | ✓ Yes | ✓ Yes |
| On OCRRouter | Coming soon | Coming soon |
Prices are what you pay on OCRRouter. Speed is the provider's typical figure, not a benchmark we ran.
What each one is
Nanonets-OCR
Open image-to-Markdown model that tags tables, equations, signatures, watermarks and checkboxes.
Nanonets-OCR detailsQwen-VL
Alibaba's open-weight vision language models (Qwen2.5-VL, Qwen3-VL). Strong general OCR and grounding.
Qwen-VL detailsUse one, fall back to the other
Request body
{
"model": "nanonets/nanonets-ocr",
"fallbacks": ["qwen/qwen-vl"],
"file_url": "https://example.com/document.pdf"
}