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Head to head

Llama 4 Behemoth (preview) vs Nemotron-4 340B

vs
NVIDIA
Nemotron-4 340B
June 2024
5.2×10²⁵Training compute (FLOP)1.8×10²⁵
$45MTraining cost$21M

Llama 4 Behemoth (preview) (Meta AI) and Nemotron-4 340B (NVIDIA) are both frontier AI models. Llama 4 Behemoth (preview) was published in April 2025 and Nemotron-4 340B in June 2024.

Llama 4 Behemoth (preview) was trained on 5.2×10²⁵ FLOP, about 2.9x the compute of Nemotron-4 340B at 1.8×10²⁵ 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
Meta AI
Organization
NVIDIA
Apr 5, 2025
Published
Jun 14, 2024
5.2×10²⁵ FLOP
Training compute2.9x
1.8×10²⁵ FLOP
2T
Parameters5.9x
340B
30T
Dataset size3.3x
9T
NVIDIA H100 SXM5 80GB
Training hardware
NVIDIA H100 SXM5 80GB
32,000
Chips used5.2x
6,144
--
Training time
2,200 h
$45M
Training cost (2023 USD)2.1x
$21M
43.9 MW
Training power draw
8.5 MW
Unreleased
Accessibility
Open weights (unrestricted)
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.