@itsPaulAi: I can't believe it Qwen3.8-27B is matching Opus 4.6 Max... the model that was the best (and the most expensive) just 6 …

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ai-model open-source multimodal coding local-deployment

Summary

Qwen3.8-27B, a 27-billion parameter AI model with open weights, matches the performance of Opus 4.6 Max and can be run locally on a laptop.

I can't believe it Qwen3.8-27B is matching Opus 4.6 Max... the model that was the best (and the most expensive) just 6 months ago. And you can run it on your laptop. Locally. Fully open weights and under apache license. This level of intelligence in such a small model is sooo https://t.co/Q9BXsFQXnD
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Cached at: 08/17/26, 04:14 AM

I can’t believe it

Qwen3.8-27B is matching Opus 4.6 Max… the model that was the best (and the most expensive) just 6 months ago.

And you can run it on your laptop. Locally.

Fully open weights and under apache license.

This level of intelligence in such a small model is sooo https://t.co/Q9BXsFQXnD

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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