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Inflection-2 vs Llama 3.1-405B

Inflection AI
Inflection-2
November 2023
vs
Meta AI
Llama 3.1-405B
July 2024
10²⁵Training compute (FLOP)3.8×10²⁵
$13MTraining cost$53M

Inflection-2 (Inflection AI) and Llama 3.1-405B (Meta AI) are both frontier AI models. Inflection-2 was published in November 2023 and Llama 3.1-405B in July 2024.

Llama 3.1-405B was trained on 3.8×10²⁵ FLOP, about 3.8x the compute of Inflection-2 at 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.

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
Inflection AI
Organization
Meta AI
Nov 22, 2023
Published
Jul 23, 2024
10²⁵ FLOP
Training compute3.8x
3.8×10²⁵ FLOP
--
Parameters
405B
--
Dataset size
15.6T
NVIDIA H100 SXM5 80GB
Training hardware
NVIDIA H100 SXM5 80GB
5,000
Chips used3.3x
16,384
--
Training time
2,142 h
$13M
Training cost (2023 USD)3.9x
$53M
6.9 MW
Training power draw
22.6 MW
Hosted access (no API)
Accessibility
Open weights (restricted use)
No
Open weights
Yes
United States
Country
United States
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.