Head to head
Amazon Titan vs SenseChat
4.8×10²⁴Training compute (FLOP)3.9×10²⁴
$8MTraining cost$5M
Amazon Titan (Amazon) and SenseChat (SenseTime) are both frontier AI models. Amazon Titan was published in September 2023 and SenseChat in April 2023.
Amazon Titan was trained on 4.8×10²⁴ FLOP, about 1.2x 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
Amazon
Organization
SenseTime
Sep 28, 2023
Published
Apr 10, 2023
4.8×10²⁴ FLOP
Training compute1.2x
3.9×10²⁴ FLOP
200B
Parameters1.1x
180B
4T
Dataset size
--
NVIDIA A100
Training hardware
--
13,760
Chips used
--
1,152 h
Training time
--
$8M
Training cost (2023 USD)1.5x
$5M
10.9 MW
Training power draw
--
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.