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Head to head

Nemotron-4 340B vs SenseChat

NVIDIA
Nemotron-4 340B
June 2024
vs
SenseTime
SenseChat
April 2023
1.8×10²⁵Training compute (FLOP)3.9×10²⁴
$21MTraining cost$5M

Nemotron-4 340B (NVIDIA) and SenseChat (SenseTime) are both frontier AI models. Nemotron-4 340B was published in June 2024 and SenseChat in April 2023.

Nemotron-4 340B was trained on 1.8×10²⁵ FLOP, about 4.6x 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
NVIDIA
Organization
SenseTime
Jun 14, 2024
Published
Apr 10, 2023
1.8×10²⁵ FLOP
Training compute4.6x
3.9×10²⁴ FLOP
340B
Parameters1.9x
180B
9T
Dataset size
--
NVIDIA H100 SXM5 80GB
Training hardware
--
6,144
Chips used
--
2,200 h
Training time
--
$21M
Training cost (2023 USD)4.0x
$5M
8.5 MW
Training power draw
--
Open weights (unrestricted)
Accessibility
API access
Yes
Open weights
No
United States
Country
Hong Kong
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.