In diretta
Head to head

GPT-4 (Jun 2023) vs Nemotron-4 340B

OpenAI
GPT-4 (Jun 2023)
June 2023
vs
NVIDIA
Nemotron-4 340B
June 2024
2.1×10²⁵Training compute (FLOP)1.8×10²⁵
--Training cost$21M

GPT-4 (Jun 2023) (OpenAI) and Nemotron-4 340B (NVIDIA) are both frontier AI models. GPT-4 (Jun 2023) was published in June 2023 and Nemotron-4 340B in June 2024.

GPT-4 (Jun 2023) was trained on 2.1×10²⁵ FLOP, about 1.2x 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
OpenAI
Organization
NVIDIA
Jun 13, 2023
Published
Jun 14, 2024
2.1×10²⁵ FLOP
Training compute1.2x
1.8×10²⁵ FLOP
1.8T
Parameters5.3x
340B
5.4T
Dataset size1.7x
9T
NVIDIA A100 SXM4 40 GB
Training hardware
NVIDIA H100 SXM5 80GB
25,000
Chips used4.1x
6,144
2,280 h
Training time
2,200 h
--
Training cost (2023 USD)
$21M
19.9 MW
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.