Devs using Qwen 27B seriously, what's your take?

Reddit r/LocalLLaMA / 4/30/2026

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A developer asks for honest feedback from others who are using Qwen 27B seriously for coding, particularly for real software engineering tasks.
The original poster reports that their early experience has been “pretty solid,” noting that it can be capable for its size, even if not consistently better than comparable models like GPT-5.5.
They are not yet convinced they would fully trust Qwen 27B enough to switch away from major providers.
The request emphasizes evaluation on day-to-day workflows such as debugging, refactoring, feature development, codebase navigation, and architecture—rather than gimmicky one-off showcase prompts.
The poster plans to test the model for a few more days before forming a stronger stance and wants practical input from experienced users.

For developers using Qwen 27B for coding, Codex style: what's your honest take?

So far, for me, it's been pretty solid. Not always amazing, but honestly neither is GPT-5.5 sometimes. Considering the model size, it's kind of wild how capable it actually is.

That said, I'm still not sure whether I'd fully trust it enough to move away from the big players.

I'm giving it a few more days before I really decide where I stand, but I'd like to hear from other people using it for actual dev work.

Please, no one get defensive but I'm not interested in random showcase prompts like "make me a 3D game" pointless one-shot comparisons or mini projects.

I mean real day-to-day software engineering: debugging, refactoring, navigating codebases, building features, fixing broken stuff, architecture and so on.

submitted by /u/Admirable_Reality281
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Devs using Qwen 27B seriously, what's your take?

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