Nixtla
1 model across 1 family · Latest: TimeGEN-1 (2024-05)
Open-source time series forecasting
Nixtla's portfolio covers 1 active model across 1 current family, spanning general LLM work. Open a model detail page to compare provider routes and sourced benchmarks.
Covers 0 workload areas across 1 active tracked model; last verified 2026-06-29.
Use it for
- Teams evaluating general LLM work across this lab's releases
- Comparing model families before committing to a flagship
- Migration and pricing follow-ups across 1 tracked models
Do not use it for
- Choosing a hosting provider without opening a model page for price ladders
Active models
1
Current models from this lab, excluding deprecated ones
Active families
1
Current model families from this lab
Open catalog
0 open
0 open source / 0 open weights
Lowest output price
Not tracked
No provider output pricing linked yet
Latest dated release
2024-05-21
TimeGEN-1
Freshness
2026-06-29
Researched 84d ago
Information
Release cadence
- Dated releases
- 1
- Latest model
- TimeGEN-1
- Latest date
- 2024-05-21
Where this lab wins
Not enough capability or benchmark coverage yet to call strengths for this lab.
Flagship quality / price signal
- Flagship
- TimeGEN-1
- Selection source
- Best sourced coding Q/$
- Coding grade
- unknown
- Benchmark / output price
- Not enough sourced benchmark and price coverage
About
Nixtla is an open-source time series AI company. TimeGEN-1 is its generative pre-trained forecasting and anomaly detection model for time series data, available through Azure AI Foundry.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License | Openness |
|---|---|---|---|---|---|---|
| TimeGEN-1 | 2024-05-21 | - | - | - | Proprietary | Proprietary |
Model families
Recent releases
- TimeGEN-1- 2024-05-21
Explore related pages
Last reviewed: 2026-06-29. Data sourced from public lab announcements and provider documentation.