image to text benchmark
OCRBench-V2 (zh) Leaderboard
OCRBench-V2 (zh) is a Chinese subset benchmark for evaluating Large Multimodal Models on visual text localization and reasoning with Chinese text content.
Updated Sep 5, 2026
Models11
Model coverage11
MetricScore
EvidenceB
OCRBench-V2 (zh) Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score63.50% | Percentile100.00% | Participants11 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score62.10% | Percentile90.00% | Participants11 | EvidenceC | Evaluated |
| Rank03 | ModelAC | Score61.80% | Percentile80.00% | Participants11 | EvidenceC | Evaluated |
| Rank04 | ModelAC | Score61.20% | Percentile70.00% | Participants11 | EvidenceC | Evaluated |
| Rank05 | ModelAC | Score60.40% | Percentile60.00% | Participants11 | EvidenceC | Evaluated |
| Rank06 | ModelAC | Score59.20% | Percentile50.00% | Participants11 | EvidenceC | Evaluated |
| Rank07 | ModelAC | Score59.20% | Percentile40.00% | Participants11 | EvidenceC | Evaluated |
| Rank08 | ModelAC | Score59.10% | Percentile30.00% | Participants11 | EvidenceC | Evaluated |
| Rank09 | ModelAC | Score57.80% | Percentile20.00% | Participants11 | EvidenceC | Evaluated |
| Rank10 | ModelAC | Score57.60% | Percentile10.00% | Participants11 | EvidenceC | Evaluated |
| Rank11 | ModelAC | Score55.80% | Percentile0.00% | Participants11 | EvidenceC | Evaluated |
OCRBench-V2 (zh) Highlights
The leading models and scores on this benchmark.
OCRBench-V2 (zh) Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for OCRBench-V2 (zh)
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is OCRBench-V2 (zh)?
What OCRBench-V2 (zh) measures and how its scores work.
OCRBench-V2 (zh) is the Chinese subset of OCRBench v2.
It measures visual text localization and reasoning with Chinese text content using the Score metric in ratio units.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- OCRBench-V2 (zh)
- Modality
- multimodal
- Primary category
- image to text
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- overall
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about OCRBench-V2 (zh).
Which model scores highest on OCRBench-V2 (zh)?
Qwen3 VL 235B A22B Thinking is currently ranked first with 63.50%.
What are the top three models on OCRBench-V2 (zh)?
The current leaders are Qwen3 VL 235B A22B Thinking (63.50%), Qwen3 VL 32B Thinking (62.10%), and Qwen3 VL 235B A22B Instruct (61.80%).
Which OCRBench-V2 (zh) model has the lowest official input price?
No matched official input price is currently available.
Which models are fastest among OCRBench-V2 (zh) results?
The fastest matched records are Qwen3 VL 4B Thinking (8.77 tok/s via DeepInfra).
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.