What is the main reason behind GPT-4o speed improvement relative to GPT-4 base model?

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Ṁ1370

2029

69%

Smaller model size (hence, architecture/algorithm improvements)

40%

Something related to low-level computation efficiency (for example, optimized frameworks)

27%

More/better hardware allocated

23%

Other

15%

Better coarser-grained tokenizer

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did they answer this for gpt-4-turbo?

"Main reason" implies only one of these resolves YES. If the coarse tokens help but aren't the central boost, I assume that option resolves NO?

@MaxHarms Correct. In very ambiguous situations, 2 options may resolve YES, but I expect this to happen in only extreme cases.

It's likely a combination of smaller model and low level optimisations (they are happening all the time, judging by open source solutions). However I find it unlikely that "open" AI will share exact numbers to determine what exactly played the biggest role.

bought Ṁ10 Something related to... YES

What do quantization count towards?

@Sss19971997 quantization itself would be "something related to low-level computation efficiency".

which base model?

@StephenMWalkerII The first publicly available GPT-4 model released on March 14, 2023.

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