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Head to head

EXAONE 1.0 vs Falcon-180B

LG
EXAONE 1.0
December 2021
vs
Technology Innovation Institute
Falcon-180B
September 2023
1.7×10²⁴Training compute (FLOP)3.8×10²⁴
$3MTraining cost$11M

EXAONE 1.0 (LG) and Falcon-180B (Technology Innovation Institute) are both frontier AI models. EXAONE 1.0 was published in December 2021 and Falcon-180B in September 2023.

Falcon-180B was trained on 3.8×10²⁴ FLOP, about 2.2x 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
Technology Innovation Institute
Dec 14, 2021
Published
Sep 6, 2023
1.7×10²⁴ FLOP
Training compute2.2x
3.8×10²⁴ FLOP
300B
Parameters1.7x
180B
--
Dataset size
3.5T
--
Training hardware
NVIDIA A100 SXM4 40 GB
--
Chips used
4,096
--
Training time
4,320 h
$3M
Training cost (2023 USD)4.0x
$11M
--
Training power draw
3.3 MW
Unreleased
Accessibility
Open weights (restricted use)
No
Open weights
Yes
South Korea
Country
United Arab Emirates
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.