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Re:Qwen3.6-27B: Flagship-Level Coding in a 27B Dense Model by originalvichy on Wednesday April 22, 2026 @11:13AM (#47864787)
For at least a year now, it has been clear that data quality and fine-tuning are the main sources of improvement for mediym-level models. Size != quality for specialized, narrow use cases such as coding.

It’s not a surprise that models are leapfrogging each other when the engineers are able to incorporate better code examples and reasoning traces, which in turn bring higher quality outputs.

Re:Qwen3.6-27B: Flagship-Level Coding in a 27B Dense Model by cbg0 on Wednesday April 22, 2026 @12:11PM (#47865667)
If all you're looking at is benchmarks that might be true, but those are way too easy to game. Try using this model alongside Opus for some work in Rust/C++ and it'll be night and day. You really can't compare a model that's got trillions of parameters to a 27B one.
Re:Qwen3.6-27B: Flagship-Level Coding in a 27B Dense Model by otabdeveloper4 on Wednesday April 22, 2026 @01:09PM (#47866344)
> ...and it'll be night and day.

That's just, like, your opinion, man.

> You really can't compare a model that's got trillions of parameters to a 27B one.

Parameter count doesn't matter much when coding. You don't need in-depth general knowledge or multilingual support in a coding model.

Re:Qwen3.6-27B: Flagship-Level Coding in a 27B Dense Model by cbg0 on Wednesday April 22, 2026 @01:29PM (#47866618)
I often do need in-depth general knowledge in my coding model so that I don't have to explain domain specific logic to it every time and so that it can have some sense of good UX.