2 ms·
The “pro” moniker means nothing these models aren’t successors and barely have a common ancestor, they are independently baked in the training oven and assigne
by yieldcrv 2mo ago
The “pro” moniker means nothing
these models aren’t successors and barely have a common ancestor, they are independently baked in the training oven and assigned a semantic version randomly by someone trying to show initiative but not trying to do on the toes of the last guy who got promoted first
So 3 pro is outdated and will likely never exit preview
The “flash” and “lite” models are the real “pro” in colloquial ideas of fleshed out and capability, at this point.
they’re better, faster and cheaper, larger context windows keeping up with the industry and more
- heaney-555 2mo agoThey are smaller models, and you can tell. Small models make dumb common-sense mistakes that big models never do. This is the "smell" many talk about.
- sidibe 2mo agoDo you have cases where you still see 3.1 pro outperforming 3.7 flash?
- heaney-555 2mo agoYes, for complex questions of biology, physics, and analysis of anomalies. 3.7 Flash is better at coding, sure, but AI is not just for coding.
- yieldcrv 2mo agohasn't been an issue since 3.5 for me, what have you seen, say, in the last two months
- heaney-555 2mo agoFor complex questions of biology, physics, and analysis of anomalies, 3.1 Pro is still better than 3.7 Flash for me. 3.7 Flash is better at coding, sure, but AI is not just for coding.