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Flan-PaLM 540B vs Inflection-2

Google
Flan-PaLM 540B
October 2022
vs
Inflection AI
Inflection-2
November 2023
2.5×10²⁴Training compute (FLOP)10²⁵
--Training cost$13M

Flan-PaLM 540B (Google) and Inflection-2 (Inflection AI) are both frontier AI models. Flan-PaLM 540B was published in October 2022 and Inflection-2 in November 2023.

Inflection-2 was trained on 10²⁵ FLOP, about 3.9x the compute of Flan-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
Google
Organization
Inflection AI
Oct 20, 2022
Published
Nov 22, 2023
2.5×10²⁴ FLOP
Training compute3.9x
10²⁵ FLOP
540B
Parameters
--
1.4B
Dataset size
--
Google TPU v4
Training hardware
NVIDIA H100 SXM5 80GB
512
Chips used9.8x
5,000
37 h
Training time
--
--
Training cost (2023 USD)
$13M
348.3 kW
Training power draw
6.9 MW
Unreleased
Accessibility
Hosted access (no API)
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.