Summary
An open document AI benchmark reveals that Qwen3.5-9B and 4B models significantly outperform frontier models like Gemini 3.1 Pro, Claude Sonnet 4.6, and GPT-5.4 in text extraction from complex documents (OlmOCR task). This finding highlights the strong performance of smaller, open-source models in a critical real-world application, potentially offering more efficient and accessible solutions for document processing.
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