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FLAN 137B vs Flan-PaLM 540B

Google Research
FLAN 137B
September 2021
vs
Google
Flan-PaLM 540B
October 2022
2×10²⁴Training compute (FLOP)2.5×10²⁴

FLAN 137B (Google Research) and Flan-PaLM 540B (Google) are both frontier AI models. FLAN 137B was published in September 2021 and Flan-PaLM 540B in October 2022.

Flan-PaLM 540B was trained on 2.5×10²⁴ FLOP, about 1.2x the compute of FLAN 137B at 2×10²⁴ 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 Research
Organization
Google
Sep 3, 2021
Published
Oct 20, 2022
2×10²⁴ FLOP
Training compute1.2x
2.5×10²⁴ FLOP
137B
Parameters3.9x
540B
2.5T
Dataset size1779x
1.4B
Google TPU v3
Training hardware
Google TPU v4
--
Chips used
512
--
Training time
37 h
--
Training power draw
348.3 kW
Unreleased
Accessibility
Unreleased
No
Open weights
No
United States
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.