OmniAI OCR Benchmark
STEP3-VL-10B 77% Only in system cards Multimodal models and OCR providers extract text and JSON fields from documents. Accuracy is measured on both plain text and structured extraction.
About 75 likes on Hugging Face.
Made by OmniAI Released Feb 2025 Documents, charts and text in images All tasks public Last in a system card Jan 2026
Last model added Jan 2026
- 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.
1
Model scored in lab cards
1
System card reports it, from 1 lab
STEP3-VL-10B leads with 77%
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | STEP3-VL-10B | 77% | Jan 2026 | Model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Reported by the lab in its model card
Labs report it only in system cards
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark. Some system cards do, below.
One system card reports it
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| 14 Jan 2026 | STEP3-VL-10B technical report | 77 | OmniOCR (OmniAI), SeRe (Tables 1 and 3). PaCoRe 78.14 | Capabilities |
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