REDDIT · REDDIT// 6d agoBENCHMARK RESULT

Qwen3.5-27B tops Gemma 4 for local agentic coding

A benchmark comparing Qwen3.5 and the newly released Gemma 4 models for local agentic coding reveals Qwen3.5-27B remains the superior choice for 24GB VRAM setups. It offers the cleanest code generation and fits comfortably on consumer hardware, whereas Gemma 4 dense models face severe context limitations to maintain acceptable speed.

// ANALYSIS

Qwen3.5-27B holds the crown for local coding workflows, proving that efficient context management matters more than raw parameter count on consumer GPUs.

–Qwen3.5-27B produced the best overall code with correct types, docstrings, and API names
–Dense Gemma 4 models struggle with context length on 24GB cards, requiring reductions to 65K to maintain generation speeds
–All models failed true test-driven development, opting to hit real APIs instead of mocking them
–MoE models generate code up to 3x faster but proved less reliable for complex single-shot tasks compared to dense models

// TAGS

qwen3.5gemma-4llmai-codingbenchmarkopen-weights

DISCOVERED

6d ago

2026-04-05

PUBLISHED

7d ago

2026-04-05

RELEVANCE

9/ 10

AUTHOR

garg-aayush