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 x 10^24 FLOP, about 1.5x the compute of EXAONE 1.0 at 1.7 x 10^24 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.
| Field | EXAONE 1.0 | GPT-3.5 (davinci-002) |
|---|---|---|
| Organization | LG | OpenAI |
| Published | Dec 14, 2021 | Mar 15, 2022 |
| Training compute | 1.7 x 10^24 FLOP | 2.6 x 10^24 FLOP |
| Parameters | 300B | — |
| Training hardware | — | NVIDIA A100 SXM4 40 GB |
| Training cost (2023 USD) | $3M | $5M |
| Accessibility | Unreleased | API access |
| Open weights | No | No |
| Country | South Korea | United States |