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Gemini 1.0 Ultra vs GPT-4 (Mar 2023)

Google DeepMind
Gemini 1.0 Ultra
December 2023
vs
OpenAI
GPT-4 (Mar 2023)
March 2023
5×10²⁵Training compute (FLOP)2.1×10²⁵
$31MTraining cost$37M

Gemini 1.0 Ultra (Google DeepMind) and GPT-4 (Mar 2023) (OpenAI) are both frontier AI models. Gemini 1.0 Ultra was published in December 2023 and GPT-4 (Mar 2023) in March 2023.

Gemini 1.0 Ultra was trained on 5×10²⁵ FLOP, about 2.4x the compute of GPT-4 (Mar 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
Google DeepMind
Organization
OpenAI
Dec 6, 2023
Published
Mar 15, 2023
5×10²⁵ FLOP
Training compute2.4x
2.1×10²⁵ FLOP
--
Parameters
1.8T
--
Dataset size
5.4T
Google TPU v4
Training hardware
NVIDIA A100 SXM4 40 GB
57,000
Chips used2.3x
25,000
2,400 h
Training time
2,280 h
$31M
Training cost (2023 USD)1.2x
$37M
38.4 MW
Training power draw
19.9 MW
API access
Accessibility
API access
No
Open weights
No
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.