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Amazon Titan vs Llama 3.1-405B

Amazon
Amazon Titan
September 2023
vs
Meta AI
Llama 3.1-405B
July 2024
4.8×10²⁴Training compute (FLOP)3.8×10²⁵
$8MTraining cost$53M

Amazon Titan (Amazon) and Llama 3.1-405B (Meta AI) are both frontier AI models. Amazon Titan was published in September 2023 and Llama 3.1-405B in July 2024.

Llama 3.1-405B was trained on 3.8×10²⁵ FLOP, about 7.9x the compute of Amazon Titan at 4.8×10²⁴ 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
Amazon
Organization
Meta AI
Sep 28, 2023
Published
Jul 23, 2024
4.8×10²⁴ FLOP
Training compute7.9x
3.8×10²⁵ FLOP
200B
Parameters2.0x
405B
4T
Dataset size3.9x
15.6T
NVIDIA A100
Training hardware
NVIDIA H100 SXM5 80GB
13,760
Chips used1.2x
16,384
1,152 h
Training time
2,142 h
$8M
Training cost (2023 USD)6.7x
$53M
10.9 MW
Training power draw
22.6 MW
API access
Accessibility
Open weights (restricted use)
No
Open weights
Yes
United States
Country
United States
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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.