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EXAONE 1.0 vs GPT-4 (Mar 2023)

LG
EXAONE 1.0
December 2021
vs
OpenAI
GPT-4 (Mar 2023)
March 2023
1.7×10²⁴Training compute (FLOP)2.1×10²⁵
$3MTraining cost$37M

EXAONE 1.0 (LG) and GPT-4 (Mar 2023) (OpenAI) are both frontier AI models. EXAONE 1.0 was published in December 2021 and GPT-4 (Mar 2023) in March 2023.

GPT-4 (Mar 2023) was trained on 2.1×10²⁵ FLOP, about 12.4x the compute of EXAONE 1.0 at 1.7×10²⁴ 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
LG
Organization
OpenAI
Dec 14, 2021
Published
Mar 15, 2023
1.7×10²⁴ FLOP
Training compute12x
2.1×10²⁵ FLOP
300B
Parameters6.0x
1.8T
--
Dataset size
5.4T
--
Training hardware
NVIDIA A100 SXM4 40 GB
--
Chips used
25,000
--
Training time
2,280 h
$3M
Training cost (2023 USD)14x
$37M
--
Training power draw
19.9 MW
Unreleased
Accessibility
API access
No
Open weights
No
South Korea
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.