OCR Arena – A playground for OCR models

In plain words

OCR Arena is a free platform that lets users test and compare optical character recognition models side-by-side. Users upload documents to measure how accurately different models extract text, including options like Gemini 3, GPT5, DeepSeek, Qwen, and various open-source alternatives. It serves developers and anyone evaluating OCR tools who need to benchmark performance across multiple models before choosing one for their work.

written from the facts on this page · September 2026

From the sources

OCR Arena is a free playground for evaluating leading VLMs and OCR models side-by-side. Upload any document, compare accuracy, and vote for the best models on a public leaderboard.

OCR Arena is a free playground for testing and evaluating leading foundation VLMs and open source OCR models side-by-side. Upload a document, measure accuracy, and vote for the best models on a public leaderboard.

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  Last week was big for open source LLMs. We got: - Qwen 2.5 VL (72b and 32b) - Gemma-3 (27b) - DeepSeek-v3-0324 And a couple weeks ago we got the new mistral-ocr model. We updated our OCR benchmark to include the new models. We evaluated 1,000 documents for JSON extraction accuracy. Major takeaways: - Qwen 2.5 VL (72b and 32b) are by far the most impressive. Both landed right around 75% accuracy (equivalent to GPT-4o’s performance). Qwen 72b was only 0.4% above 32b. Within the margin of error. - Both Qwen models passed mistral-ocr (72.2%), which is specifically trained for OCR. - Gemma-3…

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• BV
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