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I would bet money Anthropic and OpenAI are actually profitable on inference. The problem is they have to spend large sums of money to train models that are essentially worthless after a few months.


Dario explicitly stated this in an interview.

They make more money from inference than they do training the model, but then the next model gets so much more expensive to train so their annual figures have been in the red.


So, it's like if they were a pharma company that was barely profitable if you didn't take into account R&D costs?


A large part of the GPT-5.x model iteration has been about making training more affordable and token efficient.




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