Timestral

by Mistral AI

Timestral is a 209-million-parameter probabilistic time-series forecasting model released by Mistral AI on October 15, 2026. It is a specialist model distinct from Mistral's general-purpose LLMs, designed for structured temporal prediction tasks rather than natural language generation.

Large Language Models
Proprietary

Primary Use Cases

  • Financial time-series forecasting
  • Demand prediction
  • Anomaly detection in temporal data
  • Structured data prediction tasks

✅ Strengths

  • Specialist architecture optimized for temporal data
  • Compact 209M parameters enables efficient inference
  • Official Mistral release with vendor support
  • Probabilistic outputs provide uncertainty estimates

⚠️ Limitations

  • Pricing and licensing details not yet established in public documentation
  • Architecture and benchmark details pending official model card
  • Not a general-purpose language model

Technical Specifications

Developer
Mistral AI
Category
Large Language Models
Type
🧠 Foundation Model
License
UNKNOWN

Trust & Privacy

Health Status
🟢 Active
Trains on User Data
❓ Unknown
Certifications
None listed

Ecosystem & Integrations

API Access
✅ Available
Chrome Extension
❌ No
Mobile App
❌ No
Pricing Model
❓ Unknown