OpenVLM OCRBench - Text Recognition: leaderboard

OCRBench Text Recognition from the OpenCompass OpenVLM Leaderboard (VLMEvalKit): reading words from regular, irregular, artistic, handwritten, digit-string and non-semantic text images. This part holds 300 of OCRBench's 1,000 questions; the board shows correct answers as a percentage of those 300, higher is better.

Metric: Correct Answers (%). Source: huggingface.co. Saturation forecast: Estimated already saturated. 285 models tracked.

Top models

#ModelScoreOverall rank
1GPT-4.594#278
2InternVL3-38B93.33#413
3InternVL3-8B92.33#624
4InternVL3-78B92.33#361
5GPT-4.1 (2025-04-14)92#257
6GPT-4o ChatGPT91.33
7GPT-590.67#105
8InternVL3-14B90.67#506
9GPT-5 Mini (2025-08-07)90.67#175
10GPT-4.1 Mini90#363
11Qwen 2.5 VL 7B89.33#641
12Claude 3.5 Sonnet (20241022)89#302
13Qwen 2 VL 72B89#450
14Moonshot v1 8K89#622
15Gemini 2.0 Flash88.67#351

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=openvlm-ocrbench-text-recognition · How It Works · Data refreshed daily, snapshot 2026-11-05.