Alibaba Ships Qwen3.8-27B Under Apache 2.0

Alibaba's Tongyi Lab released Qwen3.8-27B on August 14, a 27.78B-parameter dense model scoring 61.7% on SWE-Bench Pro, per AI Release Tracker.

Apache 2.0 licensing lets any team fine-tune and redistribute the model without negotiating access, a bigger deal than the score for teams building on it.

LiveCodeBench hits 90.3%, GPQA Diamond hits 89.2%, and Terminal-Bench 2.1 climbs to 73.0 from 63.4 in the prior Qwen3.6-27B release. DeepSWE 1.1 jumps from 13.3 to 42.2, the sharpest gain in the set.

The model takes text, image, and video input. Its native 262,144-token context stretches to 1M through YaRN.

It arrived 11 days after Qwen3.8-Max, Alibaba's other Qwen3.8 release. AI Release Tracker doesn't say whether Max carries the same Apache 2.0 terms.

Qwen3.8-27B, not Qwen3.8-Max, is the model most teams will actually fine-tune, because it's the one that fits on a single GPU. Watch fine-tune and download counts over the next few weeks. If Qwen3.8-27B outpaces Max there, deployability beat benchmark size again.