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FLAN 137B vs PaLM 2

Google Research
FLAN 137B
September 2021
vs
Google
PaLM 2
May 2023
2×10²⁴Training compute (FLOP)7.3×10²⁴
--Training cost$5M

FLAN 137B (Google Research) and PaLM 2 (Google) are both frontier AI models. FLAN 137B was published in September 2021 and PaLM 2 in May 2023.

PaLM 2 was trained on 7.3×10²⁴ FLOP, about 3.6x 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
May 10, 2023
2×10²⁴ FLOP
Training compute3.6x
7.3×10²⁴ FLOP
137B
Parameters2.5x
340B
2.5T
Dataset size1.4x
3.6T
Google TPU v3
Training hardware
Google TPU v4
--
Training cost (2023 USD)
$5M
Unreleased
Accessibility
API access
No
Open weights
No
United States
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.