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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.

> 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.

Good luck finding the tweet (I can't) but at least one OpenAI engineer has said that o1-pro was not just 'o1 thinking longer'.

I also don't have that tweet saved, but I do remember it.

This one? Found with Kagi Assistant.

https://x.com/michpokrass/status/1869102222598152627

It says:

> hey aidan, not a miscommunication, they are different products! o1 pro is a different implementation and not just o1 with high reasoning.

That's a rather crappy product naming scheme.

> "We also introduced OpenAI o3-pro in the API—a version of o3 that uses more compute to think harder and provide reliable answers to challenging problems"

Sounds like it is just o3 with higher thinking budget to me

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