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Head to head

PaLM 2 vs SenseChat

Google
PaLM 2
May 2023
vs
SenseTime
SenseChat
April 2023
7.3×10²⁴Training compute (FLOP)3.9×10²⁴
$5MTraining cost$5M

PaLM 2 (Google) and SenseChat (SenseTime) are both frontier AI models. PaLM 2 was published in May 2023 and SenseChat in April 2023.

PaLM 2 was trained on 7.3×10²⁴ FLOP, about 1.9x the compute of SenseChat at 3.9×10²⁴ 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
SenseTime
May 10, 2023
Published
Apr 10, 2023
7.3×10²⁴ FLOP
Training compute1.9x
3.9×10²⁴ FLOP
340B
Parameters1.9x
180B
3.6T
Dataset size
--
Google TPU v4
Training hardware
--
$5M
Training cost (2023 USD)1.1x
$5M
API access
Accessibility
API access
No
Open weights
No
United States
Country
Hong Kong
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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.