OPEN_SOURCE ↗
REDDIT · REDDIT// 3h agoMODEL RELEASE
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.
// ANALYSIS
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.
// TAGS
qwen-3.6devstralmistralllmai-codingagentopen-weightsgpu
DISCOVERED
3h ago
2026-04-28
PUBLISHED
4h ago
2026-04-28
RELEVANCE
9/ 10
AUTHOR
szansky