Qwen 2.5 Coder as Free Alternative to ChatGPT for Coding

The announcement

So around late November 2024, I was scrolling through my feed and found out that Qwen just released their 2.5 Coder family. The lineup ranges from 0.5B all the way to 32B parameters, and all of them released under Apache 2.0 license. That’s pretty big deal already. But the thing that really caught my attention is the headline, the 32B model was competing with current proprietary flagship models on code benchmark like EvalPlus, LiveCodeBench, and BigCodeBench.

I’m not talking about “almost as good” kind of situation here. The benchmark showed it genuinely competing with models that you actually need to pay to use. And the best part is it’s fully open, Apache 2.0 means you can fine-tune it, self-host it, use it commercially, basically whatever you want to do with it. When I first reading about this I was like, wait is this real?

Why the sizes matter

What makes this family practical is actually the range of model size they provide:

• 0.5B: small enough to run on phone or edge device
• 7B: runs comfortably on laptop with decent GPU
• 32B: needs more serious GPU but gives you flagship-level code performance

For developer that still using ChatGPT free tier, the 7B or 32B models hosted on GLHF.chat give you a free alternative with competitive quality. Not bad, right?

I was recommending this to developers on my team as a way to get better code assistance without paying for subscription. Like why would you limit yourself on free tier of proprietary model when there’s open-source alternative that performing at similar level? Some of them already trying it out and the feedback was pretty positive so far.

The bigger picture

For me this was the moment in late 2024 when open-source coding model genuinely caught up. Not “close enough for toy project”, but actually competitive on benchmark that measure real code generation ability. I think a lot of people haven’t realize this shift yet.

The trend is pretty clear at this point. For most day-to-day development task, code completion, refactoring, debugging, generating test, you no longer need to pay for proprietary model. A self-hosted or freely-hosted open model handles it. Save the frontier model subscription for task that genuinely needs reasoning, architecture decision, complex debugging, multi-file refactoring across large codebase. That’s where the paid model still have their edge, at least for now.

I’m curious to see where this going in the next few month.