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Grok-2 vs Llama Nemotron Ultra 253B

xAI
Grok-2
August 2024
vs
3×10²⁵Training compute (FLOP)3.9×10²⁵
$32MTraining cost--

Grok-2 (xAI) and Llama Nemotron Ultra 253B (NVIDIA) are both frontier AI models. Grok-2 was published in August 2024 and Llama Nemotron Ultra 253B in March 2025.

Llama Nemotron Ultra 253B was trained on 3.9×10²⁵ FLOP, about 1.3x 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
NVIDIA
Aug 13, 2024
Published
Mar 18, 2025
3×10²⁵ FLOP
Training compute1.3x
3.9×10²⁵ FLOP
--
Parameters
253B
--
Dataset size
603B
NVIDIA H100 SXM5 80GB
Training hardware
--
$32M
Training cost (2023 USD)
--
API access
Accessibility
Open weights (restricted use)
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.