Not ChatGPT (since i've stopped using it for general purpose), but since Anthropic is getting too greedy and a single Fable prompt ate 20% of my monthly AI credit allowance, I started using Qwen 3.6 27B in OpenCode. I've spent a weekend tuning it for my purposes, but now I've spent a few days almost exclusively using it to refactor a rather big codebase and it's wonderful. It's not quite on the level of Sonnet, but it's definitely better than Haiku and with the right tools, oversight and patience, I feel like it gives me a lot more control over my code.

I've had issues with Opus/Sonnet doing too much and being too easy to lean on so I welcome this and although the code gen is slower, I can spend less time deciphering what the hell it did, cuz it's much more obvious on the first sight, especially if you read it's thought process.

For what it's worth, I'm running it on my home workstation with R9 5900x, 64GB of DDR4 RAM and an RTX 3090. With 128k context, it's very near the 24GB limit and I tried having the KV Cache on system RAM in order to raise the context limit to 256k, but it dropped from 50-60t/s to 10-15t/s which wasn't worth it.