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Alibaba released Qwen 3.8 27B, a 17GB open-source model that outperforms Qwen 3.7-Plus in benchmarks, but its default excessive reasoning makes it resource-hungry, yet it's a strong option for MENA enterprises seeking low-cost local AI deployment.

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Qwen 3.8 27B: Excellent Open-Source Local Model, But Defaults to Overthinking

Qwen 3.8 27B Release: A Powerful Local Model from Alibaba

FAQ

What is Qwen 3.8 27B?

Qwen 3.8 27B is an open-source large language model from Alibaba, with 27B parameters, supporting vision and coding, and runs locally on mid-range hardware.

How does Qwen 3.8 27B compare to Qwen 3.7-Plus?

According to Alibaba's benchmarks, Qwen 3.8 27B outperforms Qwen 3.7-Plus (a closed model) in most tasks, while being open-source and smaller.

Should MENA enterprises adopt Qwen 3.8 27B now?

Yes, if they need a low-cost local model with vision and coding capabilities, but they should adjust reasoning settings to avoid slow performance.

What are the hardware requirements for Qwen 3.8 27B?

The model requires about 17GB of memory, and runs on devices like MacBook Pro with 128GB RAM or NVIDIA DGX Spark, with support for acceleration like MTP.

Source: Simon Willison (LLM & tools)

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