Qwen3.8 (open weights) overview and key facts (October 2026)

Qwen3.8 is the newest open-weight generation of Alibaba's Qwen models, with the 27-billion-parameter dense model as the most downloaded version, suited to companies that want a capable multimodal model on their own infrastructure.

Qwen3.8 builds on the Qwen3.5 architecture and is described by the Qwen team as its most capable open generation for coding, professional work, research and long agentic tasks. The 27B model is a native vision-language model with 262,144 tokens of context, extensible to one million. Thinking is on by default and can be disabled per request. It runs with Transformers, vLLM and SGLang, and the 27B version had more than 6.8 million downloads in the last month at our check.

• Reads documents, diagrams and videoNative vision support covers documents, diagrams and long videos. Teams analyze visual material on their own servers.
• Balances speed and depthThinking can be disabled for simple requests and tuned with a reasoning effort setting for hard ones. Operators control latency and compute per task.
• Runs agent workflows in houseImproved planning and tool handling support agents that operate internal systems. Data stays inside the company network.

• Available in several sizes, from a 27B dense model to a 2.4-trillion-parameter mixture-of-experts model.
• Three licenses: Apache 2.0 for Qwen3.8-27B, the Qwen Community License 1.0 for Flash-Next and the Qwen3.8-Max License for the largest model, both with limits for model-as-a-service and AI work assistant providers.

Qwen comes from Alibaba, headquartered in Hangzhou, China.

Self-hosting means your team runs, secures and updates the model, including GPU capacity, monitoring and patching. Only Qwen3.8-27B is under Apache 2.0. If you build a model service or an AI coding or office assistant for third parties on Flash-Next or the 2.4T model, you need a separate license from Qwen. Keep a record of which version you deploy. If outputs feed decisions about people, a human must stay in the loop.

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