---
format: "aidr-story-markdown/v1"
id: "8e8bf17fdc0f2aacb4733e856938f1891001db9b75c51fdbe0e9543caa4caa73"
canonical_url: "https://aidr.today/8e8bf17f?lang=en"
title: "Mistral AI Releases Timestral: A 209M Forecasting Model Family That Outperforms Google’s TimesFM-3"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
translation_fallback: null
fallback_fields: []
published_at: "2026-10-19T01:18:17.000Z"
category: "Models"
topics: ["llm","open-source"]
source_urls: ["https://www.marktechpost.com/2026/10/18/mistral-timestral-time-series-foundation-model/","https://huggingface.co/mistralai/Timestral-209M"]
summary: "Mistral released Timestral, a time series foundation model family ranging from 5M to 209M parameters, with the 209M model leading GIFT-Eval, TIME and fev-bench among zero-shot models and running on CPU."
---

# Mistral AI Releases Timestral: A 209M Forecasting Model Family That Outperforms Google’s TimesFM\-3

> [Open the canonical story](<https://aidr.today/8e8bf17f?lang=en>)

**Published:** 2026-10-19T01:18:17.000Z
**Category:** Models
**Topics:** llm, open\-source

## Summary

Mistral released Timestral, a time series foundation model family ranging from 5M to 209M parameters, with the 209M model leading GIFT\-Eval, TIME and fev\-bench among zero\-shot models and running on CPU\.

## Sources

- [Story source](<https://www.marktechpost.com/2026/10/18/mistral-timestral-time-series-foundation-model/>)
- [Story source](<https://huggingface.co/mistralai/Timestral-209M>)