Mistral's New OCR Model Underwhelms; Google Gemini 2.0 Takes the Lead

Recent tests reveal that Mistral's newly released OCR-specific model underperforms its promotional claims. Developers Willis and Doria highlight issues with handling complex layouts and handwriting, including repeated city names, numerical errors, and hallucinations. In contrast, Google's Gemini 2.0 Flash Pro Experimental excels, processing complex PDFs that stump Mistral, including those with handwritten content. Its large context window is a key advantage. While promising, LLM-powered OCR suffers from issues like fabricating information, misinterpreting instructions, and general data misinterpretation.