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image to text benchmark

OCRBench-V2 (zh)

OCRBench v2 Chinese subset: Enhanced benchmark for evaluating Large Multimodal Models on visual text localization and reasoning with Chinese text content

Updated Aug 11, 2026

Models11
Model coverage11
MetricScore
EvidenceB

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  • Distribution
  • Highlights
  • About
  • FAQ

OCRBench-V2 (zh) Ranking

Higher score ranks better on this benchmark.

11 rows
Columns

Show columns

01ACQwen3 VL 235B A22B ThinkingAlibaba Cloud / Qwen Team63.5%100.0%11CAug 11, 2026
02ACQwen3 VL 32B ThinkingAlibaba Cloud / Qwen Team62.1%90.0%11CAug 11, 2026
03ACQwen3 VL 235B A22B InstructAlibaba Cloud / Qwen Team61.8%80.0%11CAug 11, 2026
04ACQwen3 VL 8B InstructAlibaba Cloud / Qwen Team61.2%70.0%11CAug 11, 2026
05ACQwen3 VL 30B A3B ThinkingAlibaba Cloud / Qwen Team60.4%60.0%11CAug 11, 2026
06ACQwen3 VL 32B InstructAlibaba Cloud / Qwen Team59.2%50.0%11CAug 11, 2026
07ACQwen3 VL 8B ThinkingAlibaba Cloud / Qwen Team59.2%40.0%11CAug 11, 2026
08ACQwen2.5 VL 32B InstructAlibaba Cloud / Qwen Team59.1%30.0%11CAug 11, 2026
09ACQwen3 VL 30B A3B InstructAlibaba Cloud / Qwen Team57.8%20.0%11CAug 11, 2026
10ACQwen3 VL 4B InstructAlibaba Cloud / Qwen Team57.6%10.0%11CAug 11, 2026
11ACQwen3 VL 4B ThinkingAlibaba Cloud / Qwen Team55.8%0.0%11CAug 11, 2026

OCRBench-V2 (zh) Score Distribution

A closer view of the leading scores on this benchmark.

OCRBench-V2 (zh)

OCRBench-V2 (zh) Highlights

The leading models and scores on this benchmark.

Rank #1Qwen3 VL 235B A22B Thinking63.5%Rank #2Qwen3 VL 32B Thinking62.1%Rank #3Qwen3 VL 235B A22B Instruct61.8%Rank #4Qwen3 VL 8B Instruct61.2%

What is OCRBench-V2 (zh)?

What OCRBench-V2 (zh) measures and how its scores work.

OCRBench v2 Chinese subset: Enhanced benchmark for evaluating Large Multimodal Models on visual text localization and reasoning with Chinese text content

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
Yes
Evaluation key
ocrbench-v2-(zh)|llm-stats-current

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 63.5%.

What does OCRBench-V2 (zh) measure?

OCRBench v2 Chinese subset: Enhanced benchmark for evaluating Large Multimodal Models on visual text localization and reasoning with Chinese text content

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

11 model results are currently shown.

Does this benchmark affect the overall score?

Yes. This benchmark can contribute to the current LLMBoard capability score.