olmOCR vs Qwen-VL
OlmOCR is faster; only Qwen-VL supports bounding boxes, multilingual.
olmOCRallenai/olmocr | 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 | 1.5 s / page | 2.0 s / page |
| Best for | Bulk PDF to text for datasets | Flexible extraction with prompts |
| Inputs | PDF, images | PDF, images |
| Languages | Mainly English | 30+ languages |
| Max pages per request | 1,000 | 200 |
| Tables | ✓ Yes | ✓ Yes |
| Handwriting | ✓ Yes | ✓ Yes |
| Math | ✓ Yes | ✓ Yes |
| Bounding boxes | No | ✓ Yes |
| Confidence | No | No |
| Forms | No | No |
| Multilingual | No | ✓ 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
olmOCR
Open-source vision model from Ai2 that turns PDFs into clean, reading-order text.
olmOCR 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": "allenai/olmocr",
"fallbacks": ["qwen/qwen-vl"],
"file_url": "https://example.com/document.pdf"
}