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Head to head

Gemini 1.0 Ultra vs SenseChat

Google DeepMind
Gemini 1.0 Ultra
December 2023
vs
SenseTime
SenseChat
April 2023
5×10²⁵Training compute (FLOP)3.9×10²⁴
$31MTraining cost$5M

Gemini 1.0 Ultra (Google DeepMind) and SenseChat (SenseTime) are both frontier AI models. Gemini 1.0 Ultra was published in December 2023 and SenseChat in April 2023.

Gemini 1.0 Ultra was trained on 5×10²⁵ FLOP, about 12.9x the compute of SenseChat at 3.9×10²⁴ 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
SenseTime
Dec 6, 2023
Published
Apr 10, 2023
5×10²⁵ FLOP
Training compute13x
3.9×10²⁴ FLOP
--
Parameters
180B
Google TPU v4
Training hardware
--
57,000
Chips used
--
2,400 h
Training time
--
$31M
Training cost (2023 USD)5.8x
$5M
38.4 MW
Training power draw
--
API access
Accessibility
API access
No
Open weights
No
United States
Country
Hong Kong
Related comparisons
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.