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 x 10^24 FLOP, about 1.9x the compute of FLAN 137B at 2 x 10^24 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.
| Field | FLAN 137B | SenseChat |
|---|---|---|
| Organization | Google Research | SenseTime |
| Published | Sep 3, 2021 | Apr 10, 2023 |
| Training compute | 2 x 10^24 FLOP | 3.9 x 10^24 FLOP |
| Parameters | 137B | 180B |
| Dataset size | 2.5T | — |
| Training hardware | Google TPU v3 | — |
| Training cost (2023 USD) | — | $5M |
| Accessibility | Unreleased | API access |
| Open weights | No | No |
| Country | United States | Hong Kong |
