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Qwen3.8-27B

An open-weights dense 27B vision-language model open-sourced by Alibaba Cloud's Qwen team. Built on the Qwen3.5 architecture, it features a 64-layer hybrid attention design (48 linear and 16 gated), native MTP draft head, and thinking mode, supporting native 262K context (scalable to 1M tokens) for single-GPU local deployment and long-horizon agentic tasks.

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01Alibaba Cloud Open-Sources Qwen3.8-27B: Hybrid Attention and Single-GPU Long-Horizon AgentsAlibaba Cloud's Qwen team has open-sourced Qwen3.8-27B, a dense 27B vision-language model. Built on a hybrid architecture combining 48 linear attention layers with 16 gated attention layers, it features a native MTP draft head and controllable thinking mode, delivering native 262K context and single-GPU deployment while advancing SWE-bench Pro and LiveCodeBench benchmarks.8/15/2026