Chronos-Bolt (Small)
onlineamazon/chronos-bolt-small48M params | 2K context | $0.00025 per forecast
Chronos-Bolt Small is Amazon's fast zero-shot forecasting checkpoint built for production use, at 48M parameters. It is positioned as a strong default in the Chronos-Bolt family: probabilistic forecasts with low latency and a simpler deployment footprint than the original Chronos line.
It uses a patch-based T5 encoder-decoder and replaces autoregressive token-by-token rollout with direct multi-step quantile prediction over patchified history. Forecasting the entire horizon in one pass is what makes Bolt materially faster and lighter than the first Chronos generation. It is pretrained on nearly 100B time-series observations drawn from large public corpora and synthetic pretraining data, as documented by the official Chronos-Bolt model cards.
On TSFM.ai, Small is the natural starting point when you want quick, high-throughput quantile forecasts without hand-tuning a model choice. Drop to Chronos-Bolt Mini or Tiny when cost and latency dominate, climb to Chronos-Bolt Base when you want a higher quality ceiling, and switch to Chronos-2 when you need covariates or multivariate cross-learning beyond fast univariate forecasting.
Model Classification
Family
Chronos
Type
time series foundation model
Pretrained time-series model exposed on TSFM.ai for zero-shot or few-shot forecasting workloads.
Resources
Training Data
Nearly 100B time-series observations from large public corpora and synthetic pretraining data, as documented by the official Chronos-Bolt model cards.
Recommended For
- • Fast zero-shot probabilistic forecasting in production APIs
- • Teams replacing classic Chronos-T5 with lower latency inference
Strengths
- • Direct multi-step forecasting avoids autoregressive rollout cost
- • Strong default for quantile forecasts with lightweight serving
Limitations
- • Focused on forecasting rather than broader multi-task time-series work
- • Less natural fit when you need model behavior tuned around rich multivariate covariates
Capabilities
Tags
Specifications
- Parameters
- 48M
- Architecture
- patch-based T5 encoder-decoder with direct multi-step quantile forecasting
- Context length
- 2,048
- Max context
- 2,048
- Minimum history
- n/a
- Recommended history
- n/a
- Input step
- n/a
- Required target series
- 1
- Temperature
- Ignored
- Top P
- Ignored
- Max output
- 1,024
- Avg latency
- n/a
- Uptime
- n/a
- Plan limits
- 1,000 rpm free · 1,000,000 rpm with billing
- Accelerator
- T4
- Regions
- Virginia, US
- License
- n/a
Pricing
- Per forecast
- $0.00025
Performance
- Average latency
- n/a
- Availability
- n/a
- Plan limits
- 1,000 rpm free · 1,000,000 rpm with billing