On Tuesday, OpenAI introduced that o3-pro, a brand new model of its most succesful simulated reasoning mannequin, is now accessible to ChatGPT Professional and Workforce customers, changing o1-pro within the mannequin picker. The corporate additionally diminished API pricing for o3-pro by 87 p.c in comparison with o1-pro whereas chopping o3 costs by 80 p.c. Whereas “reasoning” is beneficial for some analytical duties, new research have posed basic questions on what the phrase really means when utilized to those AI programs.
We’ll take a deeper take a look at “reasoning” in a minute, however first, let’s study what’s new. Whereas OpenAI initially launched o3 (non-pro) in April, the o3-pro mannequin focuses on arithmetic, science, and coding whereas including new capabilities like internet search, file evaluation, picture evaluation, and Python execution. Since these software integrations gradual response occasions (longer than the already gradual o1-pro), OpenAI recommends utilizing the mannequin for advanced issues the place accuracy issues greater than velocity. Nevertheless, they don’t essentially confabulate much less than “non-reasoning” AI fashions (they nonetheless introduce factual errors), which is a big caveat when searching for correct outcomes.
Past the reported efficiency enhancements, OpenAI introduced a considerable value discount for builders. O3-pro prices $20 per million enter tokens and $80 per million output tokens within the API, making it 87 p.c cheaper than o1-pro. The corporate additionally diminished the worth of the usual o3 mannequin by 80 p.c.
These reductions handle one of many important considerations with reasoning fashions—their excessive value in comparison with normal fashions. The unique o1 value $15 per million enter tokens and $60 per million output tokens, whereas o3-mini value $1.10 per million enter tokens and $4.40 per million output tokens.
Why use o3-pro?
In contrast to general-purpose fashions like GPT-4o that prioritize velocity, broad information, and making customers be ok with themselves, o3-pro makes use of a chain-of-thought simulated reasoning course of to dedicate extra output tokens towards working via advanced issues, making it usually higher for technical challenges that require deeper evaluation. However it’s nonetheless not good.
