实时
Head to head

FLAN 137B vs SenseChat

Google Research
FLAN 137B
September 2021
vs
SenseTime
SenseChat
April 2023
2×10²⁴Training compute (FLOP)3.9×10²⁴
--Training cost$5M

FLAN 137B (Google Research) and SenseChat (SenseTime) are both frontier AI models. FLAN 137B was published in September 2021 and SenseChat in April 2023.

SenseChat was trained on 3.9×10²⁴ FLOP, about 1.9x the compute of FLAN 137B at 2×10²⁴ 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 Research
Organization
SenseTime
Sep 3, 2021
Published
Apr 10, 2023
2×10²⁴ FLOP
Training compute1.9x
3.9×10²⁴ FLOP
137B
Parameters1.3x
180B
2.5T
Dataset size
--
Google TPU v3
Training hardware
--
--
Training cost (2023 USD)
$5M
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.