OPEN LINK ↗
// 54d 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
54d ago
2026-04-05
PUBLISHED
54d ago
2026-04-05
RELEVANCE
9/ 10
AUTHOR
garg-aayush
