Онлайн
Head to head

GPT-4 (Mar 2023) vs PaLM 2

OpenAI
GPT-4 (Mar 2023)
March 2023
vs
Google
PaLM 2
May 2023
2.1×10²⁵Training compute (FLOP)7.3×10²⁴
$37MTraining cost$5M

GPT-4 (Mar 2023) (OpenAI) and PaLM 2 (Google) are both frontier AI models. GPT-4 (Mar 2023) was published in March 2023 and PaLM 2 in May 2023.

GPT-4 (Mar 2023) was trained on 2.1×10²⁵ FLOP, about 2.9x the compute of PaLM 2 at 7.3×10²⁴ FLOP. Training compute is the closest available proxy for how much was invested in a model, though it says nothing on its own about how well that compute was spent.

These two models share no benchmark on which both have been scored, so no direct performance comparison is possible here. The specification table below is a comparison of inputs, not of results.

Specifications
OpenAI
Organization
Google
Mar 15, 2023
Published
May 10, 2023
2.1×10²⁵ FLOP
Training compute2.9x
7.3×10²⁴ FLOP
1.8T
Parameters5.3x
340B
5.4T
Dataset size1.5x
3.6T
NVIDIA A100 SXM4 40 GB
Training hardware
Google TPU v4
25,000
Chips used
--
2,280 h
Training time
--
$37M
Training cost (2023 USD)7.4x
$5M
19.9 MW
Training power draw
--
API access
Accessibility
API access
No
Open weights
No
United States
Country
United States
Related comparisons
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.