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Gemini 1.0 Ultra vs Llama 4 Behemoth (preview)

Google DeepMind
Gemini 1.0 Ultra
December 2023
vs
5×10²⁵Training compute (FLOP)5.2×10²⁵
$31MTraining cost$45M

Gemini 1.0 Ultra (Google DeepMind) and Llama 4 Behemoth (preview) (Meta AI) are both frontier AI models. Gemini 1.0 Ultra was published in December 2023 and Llama 4 Behemoth (preview) in April 2025.

Llama 4 Behemoth (preview) was trained on 5.2×10²⁵ FLOP, essentially the same compute as Gemini 1.0 Ultra at 5×10²⁵ 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
Google DeepMind
Organization
Meta AI
Dec 6, 2023
Published
Apr 5, 2025
5×10²⁵ FLOP
Training compute1.0x
5.2×10²⁵ FLOP
--
Parameters
2T
--
Dataset size
30T
Google TPU v4
Training hardware
NVIDIA H100 SXM5 80GB
57,000
Chips used1.8x
32,000
2,400 h
Training time
--
$31M
Training cost (2023 USD)1.5x
$45M
38.4 MW
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.