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Head to head

Grok 3 vs PaLM 2

xAI
Grok 3
February 2025
vs
Google
PaLM 2
May 2023
3.5×10²⁶Training compute (FLOP)7.3×10²⁴
$218MTraining cost$5M

Grok 3 (xAI) and PaLM 2 (Google) are both frontier AI models. Grok 3 was published in February 2025 and PaLM 2 in May 2023.

Grok 3 was trained on 3.5×10²⁶ FLOP, about 47.7x the compute of PaLM 2 at 7.3×10²⁴ 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
xAI
Organization
Google
Feb 17, 2025
Published
May 10, 2023
3.5×10²⁶ FLOP
Training compute48x
7.3×10²⁴ FLOP
3T
Parameters8.8x
340B
--
Dataset size
3.6T
NVIDIA H100 SXM5 80GB
Training hardware
Google TPU v4
80,000
Chips used
--
2,160 h
Training time
--
$218M
Training cost (2023 USD)43x
$5M
109.9 MW
Training power draw
--
API access
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.