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Head to head

Llama 3.1-405B vs SenseChat

Meta AI
Llama 3.1-405B
July 2024
vs
SenseTime
SenseChat
April 2023
3.8×10²⁵Training compute (FLOP)3.9×10²⁴
$53MTraining cost$5M

Llama 3.1-405B (Meta AI) and SenseChat (SenseTime) are both frontier AI models. Llama 3.1-405B was published in July 2024 and SenseChat in April 2023.

Llama 3.1-405B was trained on 3.8×10²⁵ FLOP, about 9.8x 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
Meta AI
Organization
SenseTime
Jul 23, 2024
Published
Apr 10, 2023
3.8×10²⁵ FLOP
Training compute9.8x
3.9×10²⁴ FLOP
405B
Parameters2.3x
180B
15.6T
Dataset size
--
NVIDIA H100 SXM5 80GB
Training hardware
--
16,384
Chips used
--
2,142 h
Training time
--
$53M
Training cost (2023 USD)9.9x
$5M
22.6 MW
Training power draw
--
Open weights (restricted use)
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.