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Falcon-180B vs PaLM (540B)

Technology Innovation Institute
Falcon-180B
September 2023
vs
Google Research
PaLM (540B)
April 2022
3.8×10²⁴Training compute (FLOP)2.5×10²⁴
$11MTraining cost$3M
Benchmarks won (9 scored on both)
6 Falcon-180BPaLM (540B) 3

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

Falcon-180B was trained on 3.8×10²⁴ FLOP, about 1.5x the compute of 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.

Falcon-180B leads on 6 of the 9 benchmarks they were both scored on, against 3 for PaLM (540B). Benchmark counts are a crude scoreboard — the evaluations differ wildly in what they measure and in how saturated they are — so the per-benchmark table below matters more than the tally.

Specifications
Technology Innovation Institute
Organization
Google Research
Sep 6, 2023
Published
Apr 4, 2022
3.8×10²⁴ FLOP
Training compute1.5x
2.5×10²⁴ FLOP
180B
Parameters3.0x
540.4B
3.5T
Dataset size4.5x
780B
NVIDIA A100 SXM4 40 GB
Training hardware
Google TPU v4
4,096
Chips used1.5x
6,144
4,320 h
Training time
1,536 h
$11M
Training cost (2023 USD)3.5x
$3M
3.3 MW
Training power draw
4.2 MW
Open weights (restricted use)
Accessibility
Unreleased
Yes
Open weights
No
United Arab Emirates
Country
United States
Shared benchmarks
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.