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FLAN 137B vs GPT-4 (Jun 2023)

Google Research
FLAN 137B
September 2021
vs
OpenAI
GPT-4 (Jun 2023)
June 2023
2×10²⁴Training compute (FLOP)2.1×10²⁵

FLAN 137B (Google Research) and GPT-4 (Jun 2023) (OpenAI) are both frontier AI models. FLAN 137B was published in September 2021 and GPT-4 (Jun 2023) in June 2023.

GPT-4 (Jun 2023) was trained on 2.1×10²⁵ FLOP, about 10.3x 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
OpenAI
Sep 3, 2021
Published
Jun 13, 2023
2×10²⁴ FLOP
Training compute10x
2.1×10²⁵ FLOP
137B
Parameters13x
1.8T
2.5T
Dataset size2.2x
5.4T
Google TPU v3
Training hardware
NVIDIA A100 SXM4 40 GB
--
Chips used
25,000
--
Training time
2,280 h
--
Training power draw
19.9 MW
Unreleased
Accessibility
API access
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.