Qwen3.8-27B.

specs at a glance

how good is Qwen3.8-27B at coding?

Qwen3.8-27B sits at #13 of 28 ranked models, posting 86.0% on SWE-bench Verified — 11 points behind #1 Claude Opus 5. On the harder SWE-bench Pro it scores 61.7%. Terminal-Bench (agentic terminal work): 73.0 (TB2.1).

Score provenance: Independent (vals.ai, 2026-08-20 sweep, mini-swe-agent bash-only harness): SWE-bench Verified 86.0% ±1.55, 14th of 86 systems. Left the verifying queue on 2026-08-20, six days after launch. This is now the highest-scoring model on the board carrying an OSI-approved licence (Apache 2.0, weights on Hugging Face), ahead of GLM 5.2 at an independent 82.8%. Kimi K3 scores higher at 93.4% but ships under a bespoke non-OSI licence in 4-bit only, so K3 is open for inference where this is open outright. Notable for a dense 27B: it lands within error bars of Alibaba’s own 2.4T-parameter Qwen3.8-Max at 85.6%, meaning the flagship buys almost nothing on this benchmark. Vendor figures from the Aug 14 2026 model card, unchanged and still unconfirmed: SWE-bench Pro 61.7%, Terminal-Bench 2.1 73.0, GPQA Diamond 89.2, LiveCodeBench v6 90.3, plus vision scores (OSWorld-Verified 84.3, AndroidWorld 81.9). Alibaba published no SWE-bench Verified figure, so this rank rests entirely on the independent run. Weigh that against this maker’s record: Qwen3.7 Max carries the board’s widest vendor-versus-independent gap, an 80.4% claim against vals.ai’s 68.8%. See /p/qwen3-8-27b-open-weights-scoreboard-attached/.

where can you use it?

Available via Open weights (Apache 2.0) · Hugging Face. Because it ships open weights, you can also self-host it on your own hardware or any inference provider — with the version pinned so the model can't change under you.

Full storyQwen3.8-27B ships open weights, scoreboard attached

Ranked on our AI Coding Leaderboard — scores confirmed against primary sources only, updated 2026-08-20.