image to text benchmark
OCRBench-V2 (en)
OCRBench v2 English subset: Enhanced benchmark for evaluating Large Multimodal Models on visual text localization and reasoning with English text content
Updated Aug 11, 2026
Models12
Model coverage12
MetricScore
EvidenceB
OCRBench-V2 (en) Ranking
Higher score ranks better on this benchmark.
| 01 | AC | 68.4% | 100.0% | 12 | C | |
| 02 | AC | 67.4% | 90.9% | 12 | C | |
| 03 | AC | 67.1% | 81.8% | 12 | C | |
| 04 | AC | 66.8% | 72.7% | 12 | C | |
| 05 | AC | 65.4% | 63.6% | 12 | C | |
| 06 | AC | 63.9% | 54.5% | 12 | C | |
| 07 | AC | 63.7% | 45.5% | 12 | C | |
| 08 | AC | 63.2% | 36.4% | 12 | C | |
| 09 | AC | 62.6% | 27.3% | 12 | C | |
| 10 | AC | 61.8% | 18.2% | 12 | C | |
| 11 | AC | 61.5% | 9.1% | 12 | C | |
| 12 | AC | 57.2% | 0.0% | 12 | C |
OCRBench-V2 (en) Score Distribution
A closer view of the leading scores on this benchmark.
OCRBench-V2 (en) Highlights
The leading models and scores on this benchmark.
What is OCRBench-V2 (en)?
What OCRBench-V2 (en) measures and how its scores work.
OCRBench v2 English subset: Enhanced benchmark for evaluating Large Multimodal Models on visual text localization and reasoning with English text content
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- OCRBench-V2 (en)
- Modality
- multimodal
- Primary category
- image to text
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- ocrbench-v2-(en)|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about OCRBench-V2 (en).
Which model scores highest on OCRBench-V2 (en)?
Qwen3 VL 32B Thinking is currently ranked first with 68.4%.
What does OCRBench-V2 (en) measure?
OCRBench v2 English subset: Enhanced benchmark for evaluating Large Multimodal Models on visual text localization and reasoning with English text content
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
12 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.