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Falcon-180B vs U-PaLM (540B)

Technology Innovation Institute
Falcon-180B
September 2023
vs
Google
U-PaLM (540B)
October 2022
3.8×10²⁴Training compute (FLOP)2.5×10²⁴
$11MTraining cost--

Falcon-180B (Technology Innovation Institute) and U-PaLM (540B) (Google) are both frontier AI models. Falcon-180B was published in September 2023 and U-PaLM (540B) in October 2022.

Falcon-180B was trained on 3.8×10²⁴ FLOP, about 1.5x the compute of U-PaLM (540B) at 2.5×10²⁴ 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
Sep 6, 2023
Published
Oct 20, 2022
3.8×10²⁴ FLOP
Training compute1.5x
2.5×10²⁴ FLOP
180B
Parameters3.0x
540B
3.5T
Dataset size2692x
1.3B
NVIDIA A100 SXM4 40 GB
Training hardware
Google TPU v4
4,096
Chips used8.0x
512
4,320 h
Training time
120 h
$11M
Training cost (2023 USD)
--
3.3 MW
Training power draw
348.3 kW
Open weights (restricted use)
Accessibility
Unreleased
Yes
Open weights
No
United Arab Emirates
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.