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AI models

GPT-4 (Mar 2023)

Training compute
2.1×10²⁵ FLOP
Parameters
1.8T
Published
Mar 15, 2023

GPT-4 (Mar 2023) is an AI model developed by OpenAI (United States), first published in March 2023. It works in the multimodal, language and vision domain, on tasks such as language modeling, language modeling/generation, question answering and visual question answering. It counts among the frontier models: the systems trained with the most compute of their moment.

Training it took an estimated 2.1×10²⁵ FLOP of compute (estimation method: hardware). The model has 1,800,000,000,000 parameters. It was trained on roughly 5.4T datapoints. Training ran on 25,000 NVIDIA A100 SXM4 40 GB for about 2.3K hours. The compute alone is estimated at $37M in 2023 dollars.

Access: API access. Its weights are not openly released. The reference paper has 24,490 citations. Epoch AI rates the confidence of this record as likely.

Full record
Organization
OpenAI
Country of organization
United States
Domain
Multimodal, Language, Vision
Task
Language modeling, Language modeling/generation, Question answering, Visual question answering
Training compute
2.1×10²⁵ FLOP
Compute estimation method
Hardware
Parameters
1,800,000,000,000
Dataset size
5.4T
Training hardware
NVIDIA A100 SXM4 40 GB
Chips used
25,000
Training time
2,280 h
Chip-hours
57M
Training power draw
19.9 MW
Training cost (2023 USD)
$37M
Model accessibility
API access
Open weights
No
Citations
24,490
Epoch confidence
Likely
Benchmark results
01Epoch Capabilities IndexECI Score125.9
More from OpenAI
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.
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