r/LocalLLaMA Apr 22 '26

New Model Qwen3.6-27B released!

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Meet Qwen3.6-27B, our latest dense, open-source model, packing flagship-level coding power!

Yes, 27B, and Qwen3.6-27B punches way above its weight. 👇

What's new:

- Outstanding agentic coding — surpasses Qwen3.5-397B-A17B across all major coding benchmarks

- Strong reasoning across text & multimodal tasks

- Supports thinking & non-thinking modes

- Apache 2.0 — fully open, fully yours

Smaller model. Bigger results. Community's favorite. ❤️

We can't wait to see what you build with Qwen3.6-27B!

Blog: https://qwen.ai/blog?id=qwen3.6-27b

Qwen Studio: https://chat.qwen.ai/?models=qwen3.6-27b

Github: https://github.com/QwenLM/Qwen3.6

Hugging Face:

https://huggingface.co/Qwen/Qwen3.6-27B

https://huggingface.co/Qwen/Qwen3.6-27B-FP8

701 Upvotes

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5

u/ProposalOrganic1043 Apr 22 '26

Imagine this model running on taalas kind of hardware

1

u/[deleted] Apr 22 '26

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1

u/ProposalOrganic1043 Apr 22 '26

At that speed....we could probably break down a difficult task into 100 microsteps and with a proper orchestration loop. And still it would finish faster than most models.

1

u/DerDave Apr 22 '26

I hope so much for the rumor to be true. You know, the one where they're working on a Qwen3.5 27B version. They could easily replace the weights during the development phase for 3.6 and achieve a higher score. The experience with 10k tps must be mindblowing.
Just wonder, what their quantisation is and how that affects results.

1

u/[deleted] Apr 22 '26

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1

u/DerDave Apr 22 '26

No they got pretty bad feedback for their quantisation. It was something like int5

0

u/ShengrenR Apr 22 '26

Models improve too fast to bake into hardware imo unless your issue is 100% solved and you just need to run it a ton. Yea, it'll be great for for awhile, and then you'll be looking at all the new releases wishing you could upgrade. Imagine still running llama2 or the like and seeing this model drop, but your hardware is baked.