Head to head
Amazon Titan vs Gemini 1.0 Ultra
4.8×10²⁴Training compute (FLOP)5×10²⁵
$8MTraining cost$31M
Amazon Titan (Amazon) and Gemini 1.0 Ultra (Google DeepMind) are both frontier AI models. Amazon Titan was published in September 2023 and Gemini 1.0 Ultra in December 2023.
Gemini 1.0 Ultra was trained on 5×10²⁵ FLOP, about 10.4x the compute of Amazon Titan at 4.8×10²⁴ 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
Amazon
Organization
Google DeepMind
Sep 28, 2023
Published
Dec 6, 2023
4.8×10²⁴ FLOP
Training compute10x
5×10²⁵ FLOP
200B
Parameters
--
4T
Dataset size
--
NVIDIA A100
Training hardware
Google TPU v4
13,760
Chips used4.1x
57,000
1,152 h
Training time
2,400 h
$8M
Training cost (2023 USD)3.9x
$31M
10.9 MW
Training power draw
38.4 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.