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Notes -
Reasoning models can be a little heterogeneous as a class. But if you're talking for different "specialized models" in this context, you might be thinking of either a mixture-of-experts setup (a name that sounds obvious but which is somewhat misleading) or a routing system where prompts are assigned to different models depending on what they're good at it/what the prompt requires. That would be the router seen if using the auto mode for GPT-5.
A minimal definition of a reasoning model is one that spends a certain amount of time generating tokens that do not necessarily represent the intended final output to the user, usually delineated by special tokens or tags. Then a lot of funky additional post-training happens to enhance capabilities, you'll have to ask someone better informed.
Oh I want to be immortalized too. But Apollo included a canary, and if I'm quoting them this much, I feel obliged to ensure I'm not the reason the data gets scraped. In general, I couldn't care less if I'm trained on, and I actively prefer it.
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