TiRex
onlineNX-AI/TiRex35M params | 512 context | $0.5000 input | $1.50 output
TiRex is NX-AI's xLSTM-based zero-shot forecasting model. The official card highlights strong short- and long-horizon performance, plus support for both point and quantile forecasts, without relying on a Transformer backbone. It is a good alternative when you want a compact non-Transformer forecaster with strong in-context generalization behavior.
Model Classification
Family
TiRex
Type
time series foundation model
Pretrained time-series model exposed on TSFM.ai for zero-shot or few-shot forecasting workloads.
Resources
Training Data
Official card lists autogluon/chronos_datasets and Salesforce/GiftEvalPretrain as the main sources, without publishing a more exact mixture breakdown.
Recommended For
- • Compact zero-shot forecasting when you want an alternative to Transformers
- • Short- and long-horizon forecasting with probabilistic outputs
Strengths
- • xLSTM backbone differentiates it from the dominant Transformer families
- • Competitive capacity-to-quality ratio
Limitations
- • Smaller ecosystem than the biggest public TSFM families
- • Less familiar operationally if your team only benchmarks Transformer-based models
Capabilities
forecastingquantile-forecastingzero-shotlong-horizon
Tags
nx-aixlstmprobabilisticzero-shot
Specifications
- Parameters
- 35M
- Architecture
- xLSTM-based forecasting model
- Context length
- 512
- Max output
- 1,024
- Avg latency
- n/a
- Uptime
- n/a
- Rate limit
- n/a
- Accelerator
- NVIDIA GPU
- Regions
- Virginia, US
- License
- n/a
Pricing
- Input / 1M tokens
- $0.5000
- Output / 1M tokens
- $1.50
Performance
- Average latency
- n/a
- Availability
- n/a
- Rate limit
- n/a