o1 is a much larger, more expensive to operate on OpenAI's end. Having a smaller "newer" (roughly equating newer to more capable) model means that you can match the performance of larger older models while reducing inference and API costs.
The HP Prime, though pricy, supports a decent RPN mode. Definitely for a higher level of education (CAS, programs, all that fun stuff), but approved for a decent amount of US based exams.
Definitely an improvement over your normal Text-To-Speach model, and to some degree really different, but the subtle imperfections do appear and ruin the overall perception. A move in the right direction, though, I suppose.