Qwen3.8-Flash-Next is closer to Haiku than Sonnet in my experience.
Yes I know what the benchmarks say. It does not reflect my experience.
You’re also comparing benchmarks for the full model, but then telling people to run IQ3_S. I found the IQ3_S model to be a substantial step down from 4-6 bit quants.
Fair criticisms. If it's comparable with haiku, that's $13/day or 47 days til break-even (again, assuming I have my system generating tokens 24/7 - which I do not).
> You’re also comparing benchmarks for the full model
I wish there were more concrete ways to judge the difference. I've spent a bunch of time using 3 and 4 bit versions of qwen 27b, and my conclusion was that the lower qaunt made more mistakes - but that both systems were able to recover from those mistakes in a coding context. I'm not sure if that holds across the board, but that's the best answer I have so far.
It's also unclear if anthropic always serves you f16 versions of their models. My friends who use claude a lot complain about intelligence that varies from day to day - but that's entirely anecdotal.