AI models
EXAONE 1.0
Training compute
1.7×10²⁴ FLOP
Parameters
300B
Published
Dec 14, 2021
EXAONE 1.0 is an AI model developed by LG (South Korea), first published in December 2021. It works in the multimodal, language and vision domain, on tasks such as translation, language modeling/generation and visual question answering. It counts among the frontier models: the systems trained with the most compute of their moment.
Training it took an estimated 1.7×10²⁴ FLOP of compute (estimation method: operation counting). The model has 300,000,000,000 parameters. The compute alone is estimated at $3M in 2023 dollars.
Access: Unreleased. Its weights are not openly released. Epoch AI rates the confidence of this record as speculative.
Full record
- Organization
- LG
- Country of organization
- South Korea
- Domain
- Multimodal, Language, Vision
- Task
- Translation, Language modeling/generation, Visual question answering
- Training compute
- 1.7×10²⁴ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 300,000,000,000
- Training cost (2023 USD)
- $3M
- Model accessibility
- Unreleased
- Open weights
- No
- Epoch confidence
- Speculative
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.
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