DatBench - Scene OCR: leaderboard
DatBench (DatologyAI, 2026) scene-OCR suite: reading text in natural scenes such as signs, storefronts, screens and product labels, drawn from TextVQA, MME-RealWorld OCR in the wild and CC-OCR multi-scene OCR after DatBench's curation (multiple-choice items turned into free-form answers judged by Qwen3-30B or scored circularly, items solvable without the image or flagged by a GPT-5.2 judge as mislabeled removed, and a high-discrimination subset kept). Accuracy in percent, higher is better, with generation capped at 4,096 tokens; the curation used the responses of the same 1B-10B models the paper scores.
Metric: Accuracy (%). Source: arxiv.org. Saturation forecast: Not forecast. 27 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Qwen 2.5 VL 7B Instruct | 82.6 | #1842 |
| 2 | Qwen 3 VL 4B Instruct | 77.9 | #1281 |
| 3 | Qwen2.5-Omni-7B | 76.8 | #1797 |
| 4 | GLM-4.1V-9B (Thinking) | 59 | #1061 (GLM-4.1V-9B) |
| 5 | Qwen 3 VL 8B Instruct | 54.4 | #982 |
| 6 | InternVL2-8B | 46 | #3025 |
| 7 | InternVL2.5-2B | 38.3 | #6868 |
| 8 | Gemma 3 4B (IT) | 37.7 | #3848 |
| 9 | Qwen 3 VL 8B (Thinking) | 26 | #887 |
| 10 | Qwen 3 VL 4B (Thinking) | 22.1 | #1303 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=datbench-scene-ocr · How It Works · Data refreshed daily, snapshot 2026-11-12.