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Grok-2 vs Nemotron-4 340B

xAI
Grok-2
August 2024
vs
NVIDIA
Nemotron-4 340B
June 2024
3×10²⁵Training compute (FLOP)1.8×10²⁵
$32MTraining cost$21M

Grok-2 (xAI) and Nemotron-4 340B (NVIDIA) are both frontier AI models. Grok-2 was published in August 2024 and Nemotron-4 340B in June 2024.

Grok-2 was trained on 3×10²⁵ FLOP, about 1.6x 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
xAI
Organization
NVIDIA
Aug 13, 2024
Published
Jun 14, 2024
3×10²⁵ FLOP
Training compute1.6x
1.8×10²⁵ FLOP
--
Parameters
340B
--
Dataset size
9T
NVIDIA H100 SXM5 80GB
Training hardware
NVIDIA H100 SXM5 80GB
--
Chips used
6,144
--
Training time
2,200 h
$32M
Training cost (2023 USD)1.5x
$21M
--
Training power draw
8.5 MW
API access
Accessibility
Open weights (unrestricted)
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.