OmniParseBench
Document parsers convert single pages to text, and 16,288 binary unit tests on 2,937 pages check the output. The headline joins text, table and layout subscores.
The results table also lists cost per 1,000 pages and refusals. Code is Apache 2.0 and page data keeps each source's license. Datalab's own parsers lead the table.
- Level
- Everyday Most adults, without training
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Short answer A number, word or short string matched to a key.
Datalab accurate tops the leaderboard with 94.1
Best score per entry from the benchmark's own leaderboard, read on 2 Nov 2026. Where a model ran with several settings or harnesses, we keep its best. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders. The best model we track is Gemini 3.8 Flash, at 92.9.
- 94.1 Datalab accurate
- 92.9
Gemini 3.8 Flash
- 92.6 Datalab balanced
- 91.5 GPT-6.1 Sol
- 90.8 Reducto
- 90.4 LlamaParse
- 90.1 chandra-ocr-2 (Datalab)
- 90.0 Claude Opus 5.5
- 89.5 Mistral OCR
- 88.7 Claude Sonnet 5.5
- 87.9 dots.mocr
- 87.8 GPT-5.6 Sol
- 87.1 MinerU2.5-Pro
- 87.0 Infinity-Parser2-Pro
- 85.9 Surya OCR 2.5 (Datalab)
- 85.3 OXR-1.0
- 83.3 Extend
- 83.2 MiniCPM-OCR-1.0
- 83.1 Surya OCR 2 (Datalab)
- 83.0 Azure
- 82.9 LightOnOCR-3-4B
- 81.6 LightOnOCR-3-0.8B
- 81.5 GLM-OCR
- 81.2 Unlimited-OCR 2
- 80.0 Nemotron 3.5 Parse
- 79.3 Unlimited-OCR
- 78.7 PaddleOCR-VL-1.6
- 78.4 Infinity-Parser2-Flash
- 75.2 DeepSeek-OCR-2
- 69.5 Indra OCR (Datalab)
- 64.6 HunyuanOCR-1.5
- 1 Datalab accurate 94.1
- 2
Gemini 3.8 Flash 92.9
- 3 Datalab balanced 92.6
- 4 GPT-6.1 Sol 91.5
- 5 Reducto 90.8
- 6 LlamaParse 90.4
- 7 chandra-ocr-2 (Datalab) 90.1
- 8 Claude Opus 5.5 90.0
- 9 Mistral OCR 89.5
- 10 Claude Sonnet 5.5 88.7
- 11 dots.mocr 87.9
- 12 GPT-5.6 Sol 87.8
- 13 MinerU2.5-Pro 87.1
- 14 Infinity-Parser2-Pro 87.0
- 15 Surya OCR 2.5 (Datalab) 85.9
- 16 OXR-1.0 85.3
- 17 Extend 83.3
- 18 MiniCPM-OCR-1.0 83.2
- 19 Surya OCR 2 (Datalab) 83.1
- 20 Azure 83.0
- 21 LightOnOCR-3-4B 82.9
- 22 LightOnOCR-3-0.8B 81.6
- 23 GLM-OCR 81.5
- 24 Unlimited-OCR 2 81.2
- 25 Nemotron 3.5 Parse 80.0
- 26 Unlimited-OCR 79.3
- 27 PaddleOCR-VL-1.6 78.7
- 28 Infinity-Parser2-Flash 78.4
- 29 DeepSeek-OCR-2 75.2
- 30 Indra OCR (Datalab) 69.5
- 31 HunyuanOCR-1.5 64.6
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Datalab accurate | 94.1 | Official leaderboard | ||
| 2 | | 92.9 | Sep 2026 | Official leaderboard | |
| 3 | Datalab balanced | 92.6 | Official leaderboard | ||
| 4 | GPT-6.1 Sol | 91.5 | Sep 2026 | Official leaderboard | |
| 5 | Reducto | 90.8 | Official leaderboard | ||
| 6 | LlamaParse | 90.4 | Official leaderboard | ||
| 7 | chandra-ocr-2 (Datalab) | 90.1 | Official leaderboard | ||
| 8 | Claude Opus 5.5 | 90.0 | Sep 2026 | Official leaderboard | |
| 9 | Mistral OCR | 89.5 | Official leaderboard | ||
| 10 | Claude Sonnet 5.5 | 88.7 | Sep 2026 | Official leaderboard | |
| 11 | dots.mocr | 87.9 | Official leaderboard | ||
| 12 | GPT-5.6 Sol | 87.8 | Jul 2026 | Official leaderboard | |
| 13 | MinerU2.5-Pro | 87.1 | Official leaderboard | ||
| 14 | Infinity-Parser2-Pro | 87.0 | Official leaderboard | ||
| 15 | Surya OCR 2.5 (Datalab) | 85.9 | Official leaderboard | ||
| 16 | OXR-1.0 | 85.3 | Official leaderboard | ||
| 17 | Extend | 83.3 | Official leaderboard | ||
| 18 | MiniCPM-OCR-1.0 | 83.2 | Official leaderboard | ||
| 19 | Surya OCR 2 (Datalab) | 83.1 | Official leaderboard | ||
| 20 | Azure | 83.0 | Official leaderboard | ||
| 21 | LightOnOCR-3-4B | 82.9 | Official leaderboard | ||
| 22 | LightOnOCR-3-0.8B | 81.6 | Official leaderboard | ||
| 23 | GLM-OCR | 81.5 | Jan 2026 | Official leaderboard | |
| 24 | Unlimited-OCR 2 | 81.2 | Official leaderboard | ||
| 25 | Nemotron 3.5 Parse | 80.0 | Official leaderboard | ||
| 26 | Unlimited-OCR | 79.3 | Official leaderboard | ||
| 27 | PaddleOCR-VL-1.6 | 78.7 | Official leaderboard | ||
| 28 | Infinity-Parser2-Flash | 78.4 | Official leaderboard | ||
| 29 | DeepSeek-OCR-2 | 75.2 | Official leaderboard | ||
| 30 | Indra OCR (Datalab) | 69.5 | Official leaderboard | ||
| 31 | HunyuanOCR-1.5 | 64.6 | Official leaderboard |
Number one over time
Lab claims count from the day the card came out, independent runs from the model’s release.
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
No lab model card reports it yet
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark.
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