@sgl_project: The king of small models is back! Qwen3.8-27B from @Alibaba_Qwen is open source, and Day-0 support is live in SGLang: -…

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Summary

Qwen3.8-27B, a 27B-parameter multimodal AI model from Alibaba, is now open source with day-0 support in SGLang, offering high inference speeds and superior performance in coding and office tasks.

The king of small models is back! Qwen3.8-27B from @Alibaba_Qwen is open source, and Day-0 support is live in SGLang: - 206.1 tok/s decode on a single RTX 5090, with our NVFP4 plus DSpark - 38.28 tok/s decode on DGX Spark Qwen3.8-27B raises the bar again for what a small model can do on agentic planning and long-horizon tasks. Long live the (small model) king! Run it locally with SGLang
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Cached at: 08/16/26, 08:05 PM

The king of small models is back! Qwen3.8-27B from @Alibaba_Qwen is open source, and Day-0 support is live in SGLang:

  • 206.1 tok/s decode on a single RTX 5090, with our NVFP4 plus DSpark
  • 38.28 tok/s decode on DGX Spark Qwen3.8-27B raises the bar again for what a small model can do on agentic planning and long-horizon tasks.

Long live the (small model) king! Run it locally with SGLang

Qwen (@Alibaba_Qwen): We promised open weights for Qwen3.8. Now, time to meet them! 🎉

⚡ Qwen3.8-27B:

  • A native multimodal dense model. With just 27B parameters, it outperforms Qwen3.7-Plus overall and shines in real-world coding & office workflows.
  • 262K native context, easily extendable to 1M

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