En vivo
Head to head

Claude 3.5 Sonnet vs Llama 3.1-405B

Anthropic
Claude 3.5 Sonnet
June 2024
vs
Meta AI
Llama 3.1-405B
July 2024
2.7×10²⁵Training compute (FLOP)3.8×10²⁵
130Capability index129
$26MTraining cost$53M
Benchmarks won (1 scored on both)
1 Claude 3.5 SonnetLlama 3.1-405B 0

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 3.8×10²⁵ FLOP, about 1.4x the compute of Claude 3.5 Sonnet at 2.7×10²⁵ 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.

Specifications
Anthropic
Organization
Meta AI
Jun 20, 2024
Published
Jul 23, 2024
2.7×10²⁵ FLOP
Training compute1.4x
3.8×10²⁵ FLOP
--
Parameters
405B
--
Dataset size
15.6T
--
Training hardware
NVIDIA H100 SXM5 80GB
--
Chips used
16,384
--
Training time
2,142 h
$26M
Training cost (2023 USD)2.0x
$53M
--
Training power draw
22.6 MW
API access
Accessibility
Open weights (restricted use)
No
Open weights
Yes
United States
Country
United States
Shared benchmarks
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.