Timestral: Mistral AI’s first time-series forecasting models

Mistral AI has released Timestral, four time-series forecasting models from 5M to 209M parameters that the company says run without a GPU. The 209M weights’ license does not apply to companies with more than $20 million in monthly revenue.

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On October 15, 2026, Mistral AI released Timestral, its first family of time-series forecasting models, in four sizes from 5M to 209M parameters. According to Mistral, it needs no GPU: on a server CPU with 8 threads, a one-day forecast from three weeks of 15-minute history takes 10 ms with the 5M model and 140 ms with the 209M. Mistral also says the 209M ranks first on GIFT-Eval, TIME and fev-bench; a technical report will follow. Fine-tuning runs through Mistral Forge. The 209M weights’ “Modified MIT” license does not apply to companies with more than $20 million in revenue the previous month.

Other sources: github.com/mistralai/timestralhuggingface.co/…/LICENSE

How this was writtenStories are drafted automatically with AI from official sources and checked by people before publication. The English text is a translation of the Greek original. More · Corrections · Read the Greek original