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Head to head

EXAONE 1.0 vs Inflection-2

LG
EXAONE 1.0
December 2021
vs
Inflection AI
Inflection-2
November 2023
1.7×10²⁴Training compute (FLOP)10²⁵
$3MTraining cost$13M

EXAONE 1.0 (LG) and Inflection-2 (Inflection AI) are both frontier AI models. EXAONE 1.0 was published in December 2021 and Inflection-2 in November 2023.

Inflection-2 was trained on 10²⁵ FLOP, about 5.9x 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
Inflection AI
Dec 14, 2021
Published
Nov 22, 2023
1.7×10²⁴ FLOP
Training compute5.9x
10²⁵ FLOP
300B
Parameters
--
--
Training hardware
NVIDIA H100 SXM5 80GB
--
Chips used
5,000
$3M
Training cost (2023 USD)5.0x
$13M
--
Training power draw
6.9 MW
Unreleased
Accessibility
Hosted access (no API)
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.