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Gemini 1.0 Ultra vs GPT-3.5 (davinci-002)

Google DeepMind
Gemini 1.0 Ultra
December 2023
vs
OpenAI
GPT-3.5 (davinci-002)
March 2022
5×10²⁵Training compute (FLOP)2.6×10²⁴
$31MTraining cost$5M

Gemini 1.0 Ultra (Google DeepMind) and GPT-3.5 (davinci-002) (OpenAI) are both frontier AI models. Gemini 1.0 Ultra was published in December 2023 and GPT-3.5 (davinci-002) in March 2022.

Gemini 1.0 Ultra was trained on 5×10²⁵ FLOP, about 19.4x the compute of GPT-3.5 (davinci-002) at 2.6×10²⁴ 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
Google DeepMind
Organization
OpenAI
Dec 6, 2023
Published
Mar 15, 2022
5×10²⁵ FLOP
Training compute19x
2.6×10²⁴ FLOP
Google TPU v4
Training hardware
NVIDIA A100 SXM4 40 GB
57,000
Chips used
--
2,400 h
Training time
--
$31M
Training cost (2023 USD)6.3x
$5M
38.4 MW
Training power draw
--
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.