Claude 3.5 Sonnet (Anthropic) and Llama 3.1-405B (Meta AI) are both frontier AI models. Claude 3.5 Sonnet was published in June 2024 and Llama 3.1-405B in July 2024.
Llama 3.1-405B was trained on 3.8 x 10^25 FLOP, about 1.4x the compute of Claude 3.5 Sonnet at 2.7 x 10^25 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.
Claude 3.5 Sonnet wins the single benchmark both were scored on. Benchmark counts are a crude scoreboard — the evaluations differ wildly in what they measure and in how saturated they are — so the per-benchmark table below matters more than the tally.
| Field | Claude 3.5 Sonnet | Llama 3.1-405B |
|---|---|---|
| Organization | Anthropic | Meta AI |
| Published | Jun 20, 2024 | Jul 23, 2024 |
| Training compute | 2.7 x 10^25 FLOP | 3.8 x 10^25 FLOP |
| Parameters | — | 405B |
| Dataset size | — | 15.6T |
| Training hardware | — | NVIDIA H100 SXM5 80GB |
| Chips used | — | 16,384 |
| Training time | — | 2.1K h |
| Training cost (2023 USD) | $26M | $53M |
| Training power draw | — | 22.6 MW |
| Accessibility | API access | Open weights (restricted use) |
| Open weights | No | Yes |
| Country | United States | United States |
| Benchmark | Claude 3.5 Sonnet | Llama 3.1-405B |
|---|---|---|
| Epoch Capabilities Index(ECI Score) | 130 | 129 |
