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EXAONE 1.0 vs GPT-3.5 (davinci-002)

LG
EXAONE 1.0
December 2021
vs
OpenAI
GPT-3.5 (davinci-002)
March 2022
1.7×10²⁴Training compute (FLOP)2.6×10²⁴
$3MTraining cost$5M

EXAONE 1.0 (LG) and GPT-3.5 (davinci-002) (OpenAI) are both frontier AI models. EXAONE 1.0 was published in December 2021 and GPT-3.5 (davinci-002) in March 2022.

GPT-3.5 (davinci-002) was trained on 2.6×10²⁴ FLOP, about 1.5x 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, 2022
1.7×10²⁴ FLOP
Training compute1.5x
2.6×10²⁴ FLOP
300B
Parameters
--
--
Training hardware
NVIDIA A100 SXM4 40 GB
$3M
Training cost (2023 USD)1.8x
$5M
Unreleased
Accessibility
API access
No
Open weights
No
South Korea
Country
United States
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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.