Timestral Models by MistralAI

MistralAIMistral Modified MIT LicenseOpen weights
MistralAI releases · 21 in the last 12 months · this family litChangelog →
4 models2026

Last refreshed 2026-10-20. Next refresh: weekly.

Details

ResearcherMistralAI
Commercial useRestricted
Models4
Released2026

About

Timestral is Mistral AI's family of time-series foundation models for zero-shot probabilistic forecasting, released October 15, 2026 in 5M, 28M, 123M and 209M sizes. The models handle univariate and multivariate series with past-only and known-future covariates, read up to 32,768 time steps, and output 21 quantiles. Weights are on Hugging Face under Mistral's Modified MIT license; the inference code on GitHub is Apache-2.0.

Decision facts

Best fit
forecastingcoding
Capability starting point
Timestral 1.0 123M
Lowest tracked input
Not tracked
Closest related family
Devstral

Current Variants

Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.

4 in view

Use when the workload needs forecasting and 209M parameters.

2026-10forecasting209M parameters

Use when the workload needs forecasting and 123M parameters.

2026-10forecasting123M parameters

Use when the workload needs forecasting and 28M parameters.

2026-10forecasting28M parameters

Use when the workload needs forecasting and 5M parameters.

2026-10forecasting5M parameters

Release Timeline

1 release group
2026-10
4 current
Timestral 1.0 123M
forecasting123M parameters
Current
Timestral 1.0 209M
forecasting209M parameters
Current
Timestral 1.0 28M
forecasting28M parameters
Current
Timestral 1.0 5M
forecasting5M parameters
Current

Specifications(4 models)

Timestral model specifications comparison
ModelReleasedParameters
Timestral 1.0 209M2026-10209M
Timestral 1.0 123M2026-10123M
Timestral 1.0 28M2026-1028M
Timestral 1.0 5M2026-105M