REDDIT · REDDIT// 1d agoBENCHMARK RESULT

Qwen3.5-4B tops Gemma 4 E4B in RAG benchmarks

Reddit and benchmark data confirm Qwen3.5-4B outperforms Gemma 4 E4B in structured RAG, document extraction, and long-context stability. The model is a clear winner for edge-deployed retrieval-augmented generation.

// ANALYSIS

Qwen 3.5 4B is the clear favorite for RAG pipelines, while Gemma 4 E4B leads in raw visual grounding and Android-native multimodal tasks.

–Qwen 3.5 4B dominates structured document extraction (OlmOCR 75.4 vs 47.0) and maintains layout integrity far better than Gemma.
–Native context support is superior on Qwen with 262K native tokens, ensuring stability in complex RAG workflows.
–Both models are rock-solid at 4-bit AWQ, fitting easily into consumer GPUs with ~8GB VRAM for edge inference.
–Gemma 4 E4B remains the niche choice for handwriting recognition and raw OCR-as-a-pre-processor tasks.

// TAGS

qwen3.5-4bgemma-4-e4bragllmbenchmarkopen-source

DISCOVERED

1d ago

2026-04-10

PUBLISHED

1d ago

2026-04-10

RELEVANCE

8/ 10

AUTHOR

blackkksparx