Qwen 3.6-27B tops Devstral for local coding crown
Alibaba's newly released Qwen 3.6-27B model is challenging Mistral’s Devstral Small 2 for the title of best local coding LLM on 24GB GPUs. Both models represent the pinnacle of "agentic" software engineering performance for developers running consumer hardware like the RTX 3090.
Qwen 3.6-27B represents a generational shift in local coding performance, making it the clear choice over Devstral for most 24GB VRAM users.
- –Qwen’s 77.2% SWE-bench Verified score significantly outpaces Devstral’s 68.0%, rivaling closed-source giants like Claude 4.5.
- –The hybrid Gated DeltaNet architecture provides native long-context stability up to 262k tokens, essential for repository-wide refactoring.
- –While Devstral remains highly efficient for simple terminal tasks, Qwen’s multimodal "Thinking Mode" offers superior reasoning for complex frontend and UI/UX engineering.
- –Both models fit comfortably on a single 3090 using FP8 or Q6 quantizations, though Qwen's newer architecture yields faster prompt processing.
DISCOVERED
46d ago
2026-04-28
PUBLISHED
46d ago
2026-04-28
RELEVANCE
AUTHOR
szansky
