# Mistral releases Timestral, a family of time-series forecasting models from 5M to 209M parameters

Canonical page: https://technooptimist.io/stories/mistral-releases-timestral-a-family-of-time-series-forecasting-models-39e0b653
Date: 15 Oct 2026
About: [Mistral AI](https://technooptimist.io/companies/mistral-ai.md)
Original source: https://mistral.ai/news/timestral/

Timestral is Mistral's first family of time-series foundation models, built to produce probabilistic, multivariate forecasts. The four models share one architecture and training recipe, and Mistral says the 209-million-parameter version ranks first on the GIFT-Eval, TIME and fev-bench leaderboards among pre-trained zero-shot models.

## Key facts

- The 28-million-parameter model beats Chronos-2 on GIFT-Eval and TIME, though Chronos-2 is about four times larger.
- On a standard 8-thread server CPU, a one-day-ahead forecast from three weeks of 15-minute history takes 10 ms with the 5M model and 140 ms with the 209M model.
- Context length is 32,768 time steps, and each forecast returns 21 quantiles.
- The GitHub repository and Hugging Face collection are available; the listed licence is Modified MIT, and fine-tuning is offered through Mistral Forge.

---

The Techno Optimist tracks every frontier of technology, program by program: https://technooptimist.io/ (a Markdown version of any page: add .md to its URL; site map for agents: https://technooptimist.io/llms.txt).
Data API (JSON, realtime stream): https://technooptimist.io/developers. People read 5 pages free, then Reader $10/month; these Markdown pages are open to agents.