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

Mistral AI 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. The 209M Timestral model outperforms Google's TimesFM-3 on those benchmarks, according to MarkTechPost.

by read1 min views4 publishedOct 19, 2026

Mistral released Timestral, a time series foundation model family from 5M to 209M parameters. The 209M model leads GIFT-Eval, TIME and fev-bench among zero-shot models and runs on CPU.

The post Mistral AI Releases Timestral: A 209M Forecasting Model Family That Outperforms Google’s TimesFM-3 appeared first on MarkTechPost.

source & further reading
marktechpost.com — original article TinyFish Makes Search Free: What It Really Costs an AI Agent to Read the Web How to Make Zero-Training Tabular Predictions with NVIDIA Structured Data Models Meet Voxel51 3.0: A Unified Multimodal Data Platform for Physical AI
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