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Grok-2 vs Llama 4 Behemoth (preview)

xAI
Grok-2
August 2024
vs
3×10²⁵Training compute (FLOP)5.2×10²⁵
$32MTraining cost$45M

Grok-2 (xAI) and Llama 4 Behemoth (preview) (Meta AI) are both frontier AI models. Grok-2 was published in August 2024 and Llama 4 Behemoth (preview) in April 2025.

Llama 4 Behemoth (preview) was trained on 5.2×10²⁵ FLOP, about 1.8x the compute of Grok-2 at 3×10²⁵ 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
xAI
Organization
Meta AI
Aug 13, 2024
Published
Apr 5, 2025
3×10²⁵ FLOP
Training compute1.8x
5.2×10²⁵ FLOP
--
Parameters
2T
--
Dataset size
30T
NVIDIA H100 SXM5 80GB
Training hardware
NVIDIA H100 SXM5 80GB
--
Chips used
32,000
$32M
Training cost (2023 USD)1.4x
$45M
--
Training power draw
43.9 MW
API access
Accessibility
Unreleased
No
Open weights
No
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.