Chronos vs TimesFM: a practical comparison
Both are strong zero-shot time series foundation models. The right choice depends on your context length requirements, latency budget, and the characteristics of your data.
# Chronos
{"model": "amazon/chronos-bolt-base", "inputs": [...], "parameters": {"prediction_length": 14}}
# TimesFM
{"model": "google/timesfm-2.0", "inputs": [...], "parameters": {"prediction_length": 14}}Swap the model ID. Everything else stays the same.
Chronos
Transformer-based, multiple sizes from mini to large
TimesFM
Patched-decoder, strong on long-horizon forecasts
On TSFM.ai
Both available through one API with identical request shapes
Feature comparison
When to choose which
Choose Chronos when
You need multiple model sizes to trade off latency vs accuracy, want native probabilistic forecasts, or need the flexibility of choosing mini through large variants.
Choose TimesFM when
You want a single well-tuned model without size selection complexity, need strong long-horizon performance, or are working with data patterns similar to its training distribution.
Or compare both
Send the same series to both models through the TSFM.ai API and compare forecasts, quantiles, and latency on your own data before committing.
Try in playgroundFrequently Asked Questions
Related Pages
Chronos vs Moirai
Compare Amazon Chronos and Salesforce Moirai on covariates and context length.
Read moreTimesFM vs Moirai
Compare Google TimesFM and Salesforce Moirai on long-horizon forecasting.
Read moreBest time series foundation models in 2026
A comprehensive comparison of all major time series foundation models.
Read moreCompare on your own data
The best model comparison is the one you run on your own series. Try both in the playground.