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Public story · 2026-08-16 · high
The 27.78B-parameter model scores 61.7% on SWE-Bench Pro and runs on a single GPU, per AI Release Tracker.
Why now: Alibaba released Qwen3.8-27B on August 14, covered in the August 16 briefing alongside Qwen3.8-Max's launch 11 days earlier.
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.
Each link below shares sources, entities, or timing with this story.
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