What is the main reason behind GPT-4o speed improvement relative to GPT-4 base model?
What is the main reason behind GPT-4o speed improvement relative to GPT-4 base model?
Plus
22
Ṁ13702029
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
This question is managed and resolved by Manifold.
Get
1,000and
3.00
Sort by:
"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?
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.
@Sss19971997 quantization itself would be "something related to low-level computation efficiency".
Related questions
Related questions
Will there be a GPT-4.5 model before GPT-5 is released?
99% chance
Will the performance jump from GPT4->GPT5 be less than the one from GPT3->GPT4?
71% chance
What will the aggregate improvement of GPT5 be over GPT4 in terms of metrics?
157
Was GPT-4 trained in 4 months or less?
59% chance
Will GPT-5 be released incrementally as GPT4.x for different checkpoints from the training run?
4% chance
Will GPT-5 have fewer parameters than GPT-4? (1500M subsidy)
16% chance
GPT-4 performance and compute efficiency from a simple architecture before 2026
17% chance
When will an open-source LLM be released with a better performance than GPT-4?
GPT-4 #5: Will GPT-4 be a dense model?
1% chance
Is GPT-4 best? (Thru 2025)
63% chance