Chronos-Bolt (Mini)
onlineamazon/chronos-bolt-mini21M params | 2K context | $0.00025 per forecast
Chronos-Bolt Mini is a compact 21M-parameter checkpoint in Amazon's Chronos-Bolt family. It sits one rung above Chronos-Bolt Tiny, trading a little extra capacity for a better accuracy-latency balance on moderate-volume forecasting workloads while staying firmly in the cost-efficient tier of the line.
Like the rest of Chronos-Bolt, it runs a patch-based T5 encoder-decoder and produces forecasts through direct multi-step quantile prediction rather than autoregressive token-by-token rollout, so it returns probabilistic forecasts in a single pass without the latency of the original 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, Mini is the pick when Tiny feels too lean but you still want fast, low-cost zero-shot quantile forecasts at scale. Step up to Chronos-Bolt Small or Base when accuracy matters more than per-call cost, or move to Chronos-2 when your workload needs covariates or multivariate cross-learning rather than lightweight univariate throughput.
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
- 21M
- 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