Token prices have stayed flat because labs deliberately kept models smaller than expected in order to get more experimental cycles.

I think one reason why um the the AIs have been scaled up less than you would have otherwise expected and like for example cost of of per token hasn't increased as much as you might have thought is because there's a benefit to doing more of your um work at small scale where you can run more training runs and get more cycles in