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Amazon Titan vs EXAONE 1.0

Amazon
Amazon Titan
September 2023
vs
LG
EXAONE 1.0
December 2021
4.8×10²⁴Training compute (FLOP)1.7×10²⁴
$8MTraining cost$3M

Amazon Titan (Amazon) and EXAONE 1.0 (LG) are both frontier AI models. Amazon Titan was published in September 2023 and EXAONE 1.0 in December 2021.

Amazon Titan was trained on 4.8×10²⁴ FLOP, about 2.8x 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
Amazon
Organization
LG
Sep 28, 2023
Published
Dec 14, 2021
4.8×10²⁴ FLOP
Training compute2.8x
1.7×10²⁴ FLOP
200B
Parameters1.5x
300B
4T
Dataset size
--
NVIDIA A100
Training hardware
--
13,760
Chips used
--
1,152 h
Training time
--
$8M
Training cost (2023 USD)2.9x
$3M
10.9 MW
Training power draw
--
API access
Accessibility
Unreleased
No
Open weights
No
United States
Country
South Korea
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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.