Multimodal & Grounded benchmark
OCRBench V2 leaderboard
Every model the catalog carries a published OCRBench V2 value for, ranked by that value.
A native OCR benchmark for reading text from images across multilingual scripts, low-quality scans, handwriting, structured layouts, charts, and screenshots.
OCRBench V2 ranking
5 models with a published OCRBench V2 value, ordered by that value, highest first. Models the source has not scored on this benchmark are not listed — they are unmeasured, not last.
| Rank | Model | Provider | Accuracy |
|---|---|---|---|
| 1 |  Qwen3.8 Max | Alibaba | 74.2 |
| 2 | INInterfaze Beta | Interfaze | 70.7 |
| 2 | Qwen3.7 Plus | Alibaba | 70.7 |
| 4 | PMTernary Bonsai 2 27B | Prism ML | 56.9 |
| 5 |  LFM2.5-VL-3B | LiquidAI | 47.5 |
Evidence key: Observed
Rows are ordered by the value OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning published, highest first. The source does not state whether a higher value is the better result, so this page does not either: for a benchmark that measures a rate of failure, read the table from the bottom.