The benchmarks don’t look _that_ much better than o3. Does that mean Pro models are just incrementally better than base models, or are we approaching the higher end of a sigmoid function, with performance gains leveling off?
it's the same model as o3, just with thinking tokens turned up to the max.
OpenAI o3-pro
21–30 of 209 posts
Re: OpenAI o3-pro
#22Earlier quoted context omitted.
it's the same model as o3, just with thinking tokens turned up to the max.
That's simply not true, it's not just "max thinking budget o3" just like o1-pro wasn't "max thinking budget o1". The specifics are unknown, but they might be doing multiple model generations and then somehow picking the best answer each time? Of course that's a gross simplification, but some assume that they do it this way.
> The specifics are unknown, but they might...
Hold up.
> but some assume that they do it this way.
Come on now.
Re: OpenAI o3-pro
#23Earlier quoted context omitted.
I just can’t believe nobody at the company has enough courage to tell their leadership that their naming scheme is completely stupid and insane. Four is greater than three, and so four should be better than three. The point of a name is to describe something so that you don’t confuse your users, not to be cute.
At Techcrunch AI last week, the OpenAI guy started his presentation by acknowledging that OpenAI knows their naming is a problem and they're working on it, but it won't be fixed immediately.
Re: OpenAI o3-pro
#24Earlier quoted context omitted.
I just can’t believe nobody at the company has enough courage to tell their leadership that their naming scheme is completely stupid and insane. Four is greater than three, and so four should be better than three. The point of a name is to describe something so that you don’t confuse your users, not to be cute.
At Techcrunch AI last week, the OpenAI guy started his presentation by acknowledging that OpenAI knows their naming is a problem and they're working on it, but it won't be fixed immediately.
> how about we fix our model naming by this summer and everyone gets a few more months to make fun of us (which we very much deserve) until then?
Re: OpenAI o3-pro
#25[flagged]
With Gemini 2.5 in AI studio you can now increase the amount of thinking tokens, and it definitely makes a difference. O3 pro is most likely O3 with an expanded thinking token budget.
Re: OpenAI o3-pro
#26I understand that things are moving fast and all, but surely the.. 8? models which are currently available is a bit .. overwhelming for users that just want to get answers to their questions of life? What's the end goal with having so many models available?
I just can’t believe nobody at the company has enough courage to tell their leadership that their naming scheme is completely stupid and insane. Four is greater than three, and so four should be better than three. The point of a name is to describe something so that you don’t confuse your users, not to be cute.
Re: OpenAI o3-pro
#27This announcement adds o3-pro, which pairs with o3 in the same way the o4 models go together.
It should be called o3-high, but to align with the $200 pro membership it’s called pro instead.
That said o3 is already an incredibly powerful model. I prefer it over the new Anthropic 4 models and Gemini 2.5. It’s raw power seems similar to those others, but it’s so good at inline tool use it usually comes out ahead overall.
Any non-trivial code generation/editing should be using an advanced reasoning model, or else you’re losing time fixing more glitches or missing out on better quality solutions.
Of course the caveat is cost, but there’s value on the frontier.
Re: OpenAI o3-pro
#28Re: OpenAI o3-pro
#29The benchmarks don’t look _that_ much better than o3. Does that mean Pro models are just incrementally better than base models, or are we approaching the higher end of a sigmoid function, with performance gains leveling off?
Don’t they have a full fledged version of o4 somewhere internally at this point?
Re: OpenAI o3-pro
#30Earlier quoted context omitted.
That's simply not true, it's not just "max thinking budget o3" just like o1-pro wasn't "max thinking budget o1". The specifics are unknown, but they might be doing multiple model generations and then somehow picking the best answer each time? Of course that's a gross simplification, but some assume that they do it this way.
> That's simply not true, it's not just "max thinking budget o3" > The specifics are unknown, but they might... Hold up. > but some assume that they do it this way. Come on now.