Head to head
Claude 3.5 Sonnet vs Gemini 1.0 Ultra
2.7×10²⁵Training compute (FLOP)5×10²⁵
$26MTraining cost$31M
Claude 3.5 Sonnet (Anthropic) and Gemini 1.0 Ultra (Google DeepMind) are both frontier AI models. Claude 3.5 Sonnet was published in June 2024 and Gemini 1.0 Ultra in December 2023.
Gemini 1.0 Ultra was trained on 5×10²⁵ FLOP, about 1.9x the compute of Claude 3.5 Sonnet at 2.7×10²⁵ 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
Anthropic
Organization
Google DeepMind
Jun 20, 2024
Published
Dec 6, 2023
2.7×10²⁵ FLOP
Training compute1.9x
5×10²⁵ FLOP
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Training hardware
Google TPU v4
--
Chips used
57,000
--
Training time
2,400 h
$26M
Training cost (2023 USD)1.2x
$31M
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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.