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LLM Stats
OCRBench_V2
OCRBench v2: Enhanced large-scale bilingual benchmark for evaluating Large Multimodal Models on visual text localization and reasoning with 10,000 human-verified question-answering pairs across 8 core OCR capabilities
Evaluation context and evidence
- Source
- LLM Stats
- Publisher
- Not recorded
- Benchmark release
- Not recorded
- Collected
- 2026-08-17
- Modality
- multimodal
These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.
Original sources
Reported results 7
Shown in source observation order, not ranked. Dates retain the precision provided by the source.
| Model | Value | Unit | Protocol | Reported date and basis | Source |
|---|---|---|---|---|---|
| Qwen3.7-Plus | 0.671 | Not recorded | Not recorded | 2026-05-31 · model_announcement | LLM Stats |
| Nova 2 Pro | 0.645 | Not recorded | Not recorded | 2025-12-02 · model_announcement | LLM Stats |
| Seed 2.1 Pro | 0.632 | Not recorded | Not recorded | 2026-06-24 · model_announcement | LLM Stats |
| Seed 2.1 Turbo | 0.628 | Not recorded | Not recorded | 2026-06-24 · model_announcement | LLM Stats |
| Nova 2 Omni | 0.582 | Not recorded | Not recorded | 2025-12-02 · model_announcement | LLM Stats |
| Qwen2.5-Omni-7B | 0.578 | Not recorded | Not recorded | 2025-03-27 · model_announcement | LLM Stats |
| Nova 2 Lite | 0.561 | Not recorded | Not recorded | 2025-12-02 · model_announcement | LLM Stats |