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Head to head

Falcon-180B vs Gemini 1.0 Ultra

Technology Innovation Institute
Falcon-180B
September 2023
vs
Google DeepMind
Gemini 1.0 Ultra
December 2023
3.8×10²⁴Training compute (FLOP)5×10²⁵
$11MTraining cost$31M

Falcon-180B (Technology Innovation Institute) and Gemini 1.0 Ultra (Google DeepMind) are both frontier AI models. Falcon-180B was published in September 2023 and Gemini 1.0 Ultra in December 2023.

Gemini 1.0 Ultra was trained on 5×10²⁵ FLOP, about 13.3x the compute of Falcon-180B at 3.8×10²⁴ 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
Technology Innovation Institute
Organization
Google DeepMind
Sep 6, 2023
Published
Dec 6, 2023
3.8×10²⁴ FLOP
Training compute13x
5×10²⁵ FLOP
180B
Parameters
--
3.5T
Dataset size
--
NVIDIA A100 SXM4 40 GB
Training hardware
Google TPU v4
4,096
Chips used14x
57,000
4,320 h
Training time
2,400 h
$11M
Training cost (2023 USD)2.9x
$31M
3.3 MW
Training power draw
38.4 MW
Open weights (restricted use)
Accessibility
API access
Yes
Open weights
No
United Arab Emirates
Country
United States
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.