OCRBench-V2 (en)

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

12rows
scoreprimary metric
2026-05-06sampled

Metadata

Metrics

Score, Normalized Score

Latest Results

Rank Subject Score Model Match Provenance Sampled
1 Qwen3 VL 32B Thinking 0.68 Self-reported 2026-05-06
2 Qwen3 VL 32B Instruct 0.67 Qwen3 VL 32B Instruct
qwen-qwen3-vl-32b-instruct
Self-reported 2026-05-06
3 Qwen3 VL 235B A22B Instruct 0.67 Qwen3 VL 235B A22B Instruct
qwen-qwen3-vl-235b-a22b-instruct
Self-reported 2026-05-06
4 Qwen3 VL 235B A22B Thinking 0.67 Qwen3 VL 235B A22B Thinking
qwen-qwen3-vl-235b-a22b-thinking
Self-reported 2026-05-06
5 Qwen3 VL 8B Instruct 0.65 Qwen3 VL 8B Instruct
qwen-qwen3-vl-8b-instruct
Self-reported 2026-05-06
6 Qwen3 VL 8B Thinking 0.64 Qwen3 VL 8B Thinking
qwen-qwen3-vl-8b-thinking
Self-reported 2026-05-06
7 Qwen3 VL 4B Instruct 0.64 Self-reported 2026-05-06
8 Qwen3 VL 30B A3B Instruct 0.63 Qwen3 VL 30B A3B Instruct
qwen-qwen3-vl-30b-a3b-instruct
Self-reported 2026-05-06
9 Qwen3 VL 30B A3B Thinking 0.63 Qwen3 VL 30B A3B Thinking
qwen-qwen3-vl-30b-a3b-thinking
Self-reported 2026-05-06
10 Qwen3 VL 4B Thinking 0.62 Self-reported 2026-05-06
11 Qwen2.5 VL 72B Instruct 0.61 Qwen2.5 VL 72B Instruct
qwen-qwen2.5-vl-72b-instruct
Self-reported 2026-05-06
12 Qwen2.5 VL 32B Instruct 0.57 Self-reported 2026-05-06