this post was submitted on 15 Aug 2025
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I don’t buy the research paper at all. Of course we have no idea what OpenAI does because they aren’t open at all, but Deepseek's publish papers suggest it’s much more complex than 1 model per node… I think they recommended like a 576 GPU cluster, with a scheme to split experts.
That, and going by the really small active parameter count of gpt-oss, I bet the model is sparse as heck.
There’s no way the effective batch size is 8, it has to be waaay higher than that.
And perhaps even more importantly, the per-token cost of GPT-5's API is less than GPT-4's. That's why OpenAI was so eager to move everyone onto it, it means more profit for them.
How does OpenAI getting less money (with a cheaper model) mean more profit? Am I missing something?
If the model is cheaper to run then they are able to reduce the price without reducing profit, which gives them an advantage over competitors and draws in more customer activity. OpenAI is far from a monopoly.