SourceReddit r/LocalLLaMA•Stalecollected in 6h
Dense-MoE Gap Shrinks in 3.6-27B
#benchmarks#dense-moe#codingqwen-3.6-27bqwen
💡MoE catching dense in coding benchmarks—test for your 24GB setup
⚡ 30-Second TL;DR
What Changed
Dense 27B wins most tasks but gap closing
Why It Matters
Makes MoE more competitive for coding/local runs, shifting preferences for resource-constrained setups.
What To Do Next
Benchmark Qwen 3.6-27B MoE on 24GB VRAM for 256k context coding tasks.
Who should care:Developers & AI Engineers
Key Points
- •Dense 27B wins most tasks but gap closing
- •MoE gains in coding: SWE-bench lead drops +9.0 to +4.1
- •Dense surges in Terminal-Bench 2.0: +7.8 lead
- •MoE viable for 24GB VRAM with 256k context
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Original source: Reddit r/LocalLLaMA ↗
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