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.
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.
DISCOVERED
7d ago
2026-04-04
PUBLISHED
7d ago
2026-04-04
RELEVANCE
AUTHOR
batty_1