alt Hacker NewsFor a 56.7 score on the Artificial Intelligence Index, GPT 5.5 used 22m output tokens. For a score of 57, Opus 4.7 used 111m output tokens.
The efficiency gap is enormous. Maybe it's the difference between GB200 NVL72 and an Amazon Tranium chip?
Replies
karmasimida • yesterday at 6:19 PM
Chips doesn’t impact output quality in this magnitude
➕ show 1 reply
AtNightWeCode • yesterday at 9:35 PM
You need to compare total cost. Token count is irrelevant.
dist-epoch • yesterday at 8:24 PM
If it's a new pretrain, the token embeddings could be wider - you can pack more info into a token making it's way through the system.
Like Chinese versus English - you need fewer Chinese characters to say something than if you write that in English.
So this model internally could be thinking in much more expressive embeddings.
why would chip affect token quantity. this is all models.