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OCRBench v2

A large-scale bilingual (English/Chinese) text-centric benchmark of ~10,000 human-verified QA pairs across 31 scenarios that evaluates large multimodal models on visual text localization, recognition, parsing, and reasoning.

MultimodalaccuracyHigher is better

What is OCRBench v2?

A large-scale bilingual (English/Chinese) text-centric benchmark of ~10,000 human-verified QA pairs across 31 scenarios that evaluates large multimodal models on visual text localization, recognition, parsing, and reasoning. evals.report tracks reported OCRBench v2 scores with the model, source, status, date, and run caveats attached — official leaderboard scores, vendor-reported launches, and clearly labeled community runs.

Top reported OCRBench v2 score: Gemini 3 Pro 63.4 (accuracy).

ModelLabScoreSource modelStatusDate
Gemini 3 ProGoogle DeepMind63.4VerifiedNov 18, 2025Details
Gemini 2.5 ProGoogle DeepMind59.3VerifiedMar 25, 2025Details
GPT-5OpenAI55.5VerifiedAug 7, 2025Details
Gemini 1.5 ProGoogle DeepMind51.6VerifiedFeb 15, 2024Details
GPT-5.2OpenAI50.5VerifiedDec 11, 2025Details
Claude Opus 4.6Anthropic48.4VerifiedFeb 5, 2026Details
GPT-4oOpenAI47.6VerifiedMay 13, 2024Details
Claude 3.5 SonnetAnthropic47.5VerifiedJun 20, 2024Details
Grok 4xAI45.0VerifiedJul 9, 2025Details
Claude Sonnet 4Anthropic42.4VerifiedMay 22, 2025Details

Each row reports the model’s accuracy on OCRBench v2. Click a row for the full run context.