The "contributor" pricing is the standout here at a ~20x discount, if you allow training on your data.
The model seems on par with Sol and Opus 5 on paper (admittedly on some older/saturated benchmarks, but very competitive for $).
Stats:
1M context, $0.10 input/$0.002 cached, $0.20 output (Mtok)
I have a feeling that Meta is not gonna like what people actually use the contributor model for lol.
(It's probably going to be a bunch of repetitive batch jobs like web search that have no training value)