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Qwen 3.5, Gemma 4 battle for handwriting OCR crown

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Qwen 3.5, Gemma 4 battle for handwriting OCR crown
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// 52d agoMODEL RELEASE

Qwen 3.5, Gemma 4 battle for handwriting OCR crown

A developer's quest to OCR 50 million handwritten pages reveals a performance tug-of-war between Qwen 3.5's "magic" accuracy and Gemma 4's superior stability and speed. While Qwen hits near-perfect marks, its tendency to enter infinite repetition loops makes it a risky choice for massive-scale pipelines.

// ANALYSIS

The tradeoff between accuracy and reliability is the new frontier for local multimodal models in industrial-scale OCR. Qwen 3.5 9B's "magic" quantization on Ollama provides near 100% accuracy but fails on 20% of pages due to flood-filling repetition loops. Gemma 4, launched April 3, 2026, offers 95% accuracy with a 30% speed increase and rock-solid reliability, making it the superior candidate for massive batch processing. The 50 million page scale represents a colossal compute challenge requiring a highly stable pipeline before full-scale deployment. The repetition loop issue in Qwen 3.5 appears to be a quantization artifact that repetition penalties fail to suppress in complex visual tasks, while local deployment remains the preferred path for sensitive document processing via Ollama GGUF models.

// TAGS
llmocrmultimodalqwen-3-5gemma-4local-llmvision

DISCOVERED

52d ago

2026-04-04

PUBLISHED

53d ago

2026-04-04

RELEVANCE

8/ 10

AUTHOR

batty_1