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Gemini 1.0 Ultra vs GPT-4.5

Google DeepMind
Gemini 1.0 Ultra
December 2023
vs
OpenAI
GPT-4.5
February 2025
5×10²⁵Training compute (FLOP)3.8×10²⁶
$31MTraining cost$366M

Gemini 1.0 Ultra (Google DeepMind) and GPT-4.5 (OpenAI) are both frontier AI models. Gemini 1.0 Ultra was published in December 2023 and GPT-4.5 in February 2025.

GPT-4.5 was trained on 3.8×10²⁶ FLOP, about 7.6x the compute of Gemini 1.0 Ultra at 5×10²⁵ 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
Feb 27, 2025
5×10²⁵ FLOP
Training compute7.6x
3.8×10²⁶ FLOP
Google TPU v4
Training hardware
--
57,000
Chips used
--
2,400 h
Training time
3,000 h
$31M
Training cost (2023 USD)12x
$366M
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.