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Chronos-T5 (Large)

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amazon/chronos-t5-large

710M params | 512 context | $0.5000 input | $1.50 output

Chronos-T5 Large is the original large Chronos checkpoint. It scales and quantizes continuous values into tokens, then uses a T5 encoder-decoder to autoregress over future token sequences and recover probabilistic forecasts. It remains a useful reference model for the first Chronos generation, especially when you want the classic tokenized Chronos setup rather than the newer Bolt or Chronos-2 designs.

Model Classification

Family

Chronos / Chronos-T5

Type

time series foundation model

Pretrained time-series model exposed on TSFM.ai for zero-shot or few-shot forecasting workloads.

Training Data

Large public and synthetic time-series corpus used by the Chronos family, including Gaussian-process and KernelSynth-style synthetic augmentation described in the official Chronos paper.

Recommended For

  • Reference evaluations against the original tokenized Chronos generation
  • Teams that explicitly want classic autoregressive Chronos behavior

Strengths

  • Well-known baseline in the Chronos line
  • Probabilistic forecasts from the original tokenized setup

Limitations

  • Older and slower than Chronos-Bolt for many production workloads
  • Less general than Chronos-2 for multivariate or covariate-aware forecasting

Capabilities

forecastingquantile-forecastingzero-shot

Tags

amazonchronosprobabilisticautoregressive

Specifications

Parameters
710M
Architecture
T5 encoder-decoder over scaled and quantized time-series tokens
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