Model card
TiDE.
Googleopen-sourceUnknown paramsMLP
Time series forecasting model
§ 01 · Benchmarks
Every benchmark TiDE has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | M4 Competition | Time Series · Time Series Forecasting | smapi | 13.9% | #1 | 2023-04-17 | source ↗ |
| 02 | M4 Competition | Time Series · Time Series Forecasting | owa | 1.0% | #2 | 2023-04-17 | source ↗ |
| 03 | M4 Competition | Time Series · Time Series Forecasting | mase | 1.9% | #3 | 2023-04-17 | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Papers
1 paper with results for TiDE.
- 2023-04-17· Time Series· 3 results
Long-term Forecasting with TiDE: Time-series Dense Encoder
Abhimanyu Das, Weihao Kong, Andrew Leach, Shaan Mathur et al.
§ 04 · Related models
Other Google models scored on Codesota.
Gemini 2.5 Pro
16 results · 3 SOTA
Gemini 3 Pro
Undisclosed params · 13 results · 2 SOTA
Gemini 1.5 Pro
12 results · 1 SOTA
Gemini 3.1 Pro
3 results · 1 SOTA
ViT-H/14
632M params · 2 results · 1 SOTA
CoCa (finetuned)
2.1B params · 1 result · 1 SOTA
Gemini 2.0 Flash
1 result · 1 SOTA
Gemini 3.1 Pro Preview
1 result · 1 SOTA
§ 05 · Sources & freshness
Where these numbers come from.
TimeMixer++ Table 2
3
results
3 of 3 rows marked verified.