Alibaba's Qwen3.8-27B lands under Apache 2.0 at 73.0 on Terminal-Bench 2.1

Tongyi Lab released Qwen3.8-27B under Apache 2.0 — a 27.8B-parameter vision-language model with a 262,144-token native context that scores 73.0 on Terminal-Bench 2.1, up from 63.4 for Qwen3.6-27B. At 14-17GB in 4-bit it fits a single 24GB GPU, putting agentic coding at that benchmark tier on one desktop card rather than a hosted frontier API.

出典： huggingface.co ↗