[kamranjon]

I'm particularly interested in it being REALLY fast - do you have any rough tok/s numbers for the flash model? I'm excited for unsloth to drop some quants that I can try and run locally, but really curious how it's been performing speed wise. In general I actually over-index on speed over intelligence. I'd rather a model make mistakes quickly and correct in a follow-up than take forever to get a slightly better initial result.

[gertlabs]

Take a look at the Time column in https://gertlabs.com/?mode=oneshot_coding -- this is the total time to complete a solution for a reasonably complex problem end-to-end (you would have to divide by avg submission size to estimate tok/s). It's fast in the sense that most of the smart, recent Chinese releases are quite slow, especially the DeepSeek Pro variant. Opus 4.7 is also quite fast.

If pure speed is most important for your use case, GPT-5.3 Chat is the fastest model we've tested and it's still reasonably smart. Not meant for agentic tool usage / long context, though.

So it might be more useful for business applications or non-engineering usage where you don't need exceptional intelligence, but it's useful to get fast, cheap responses.