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GPT-4 (Jun 2023) vs U-PaLM (540B)

OpenAI
GPT-4 (Jun 2023)
June 2023
vs
Google
U-PaLM (540B)
October 2022
2.1×10²⁵Training compute (FLOP)2.5×10²⁴

GPT-4 (Jun 2023) (OpenAI) and U-PaLM (540B) (Google) are both frontier AI models. GPT-4 (Jun 2023) was published in June 2023 and U-PaLM (540B) in October 2022.

GPT-4 (Jun 2023) was trained on 2.1×10²⁵ FLOP, about 8.3x the compute of U-PaLM (540B) at 2.5×10²⁴ 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
Google
Jun 13, 2023
Published
Oct 20, 2022
2.1×10²⁵ FLOP
Training compute8.3x
2.5×10²⁴ FLOP
1.8T
Parameters3.3x
540B
5.4T
Dataset size4167x
1.3B
NVIDIA A100 SXM4 40 GB
Training hardware
Google TPU v4
25,000
Chips used49x
512
2,280 h
Training time
120 h
19.9 MW
Training power draw
348.3 kW
API access
Accessibility
Unreleased
No
Open weights
No
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.