En vivo
Head to head

GPT-4 (Jun 2023) vs Llama Nemotron Ultra 253B

OpenAI
GPT-4 (Jun 2023)
June 2023
vs
2.1×10²⁵Training compute (FLOP)3.9×10²⁵

GPT-4 (Jun 2023) (OpenAI) and Llama Nemotron Ultra 253B (NVIDIA) are both frontier AI models. GPT-4 (Jun 2023) was published in June 2023 and Llama Nemotron Ultra 253B in March 2025.

Llama Nemotron Ultra 253B was trained on 3.9×10²⁵ FLOP, about 1.9x the compute of GPT-4 (Jun 2023) at 2.1×10²⁵ 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
OpenAI
Organization
NVIDIA
Jun 13, 2023
Published
Mar 18, 2025
2.1×10²⁵ FLOP
Training compute1.9x
3.9×10²⁵ FLOP
1.8T
Parameters7.1x
253B
5.4T
Dataset size9.0x
603B
NVIDIA A100 SXM4 40 GB
Training hardware
--
25,000
Chips used
--
2,280 h
Training time
--
19.9 MW
Training power draw
--
API access
Accessibility
Open weights (restricted use)
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.