In diretta
Head to head

Llama 4 Behemoth (preview) vs SenseChat

vs
SenseTime
SenseChat
April 2023
5.2×10²⁵Training compute (FLOP)3.9×10²⁴
$45MTraining cost$5M

Llama 4 Behemoth (preview) (Meta AI) and SenseChat (SenseTime) are both frontier AI models. Llama 4 Behemoth (preview) was published in April 2025 and SenseChat in April 2023.

Llama 4 Behemoth (preview) was trained on 5.2×10²⁵ FLOP, about 13.3x 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
Apr 5, 2025
Published
Apr 10, 2023
5.2×10²⁵ FLOP
Training compute13x
3.9×10²⁴ FLOP
2T
Parameters11x
180B
30T
Dataset size
--
NVIDIA H100 SXM5 80GB
Training hardware
--
32,000
Chips used
--
$45M
Training cost (2023 USD)8.4x
$5M
43.9 MW
Training power draw
--
Unreleased
Accessibility
API access
No
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.