Timestral vs. WeatherNext Comparison


Timestral Mistral AI	WeatherNext Google DeepMind	+	+
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About Timestral is a family of time-series foundation models and a Python inference package for generating multivariate probabilistic forecasts from historical sequences. The four model sizes (5M, 28M, 123M and 209M parameters) support past-only, known-future and categorical covariates, return quantile forecasts, and accept context windows up to 32,768 time steps. Developers can load pretrained weights from the Hugging Face Hub or from local files and run inference on CPU or GPU, then incorporate forecasts into monitoring, capacity-planning, energy, supply-chain, financial-risk, or maintenance workflows. Timestral supports zero-shot forecasting and can be adapted to domain data through Mistral Forge. The package is intended for data scientists, machine-learning engineers, and teams building forecasting systems; repository code is Apache 2.0, while model weights use a separate Modified MIT license.	About WeatherNext is a family of AI models from Google DeepMind and Google Research that produces state-of-the-art weather forecasts. These models are faster and more efficient than traditional physics-based weather models and yield superior forecast reliability. The gains in forecast performance could enable better preparation to help save lives in the face of extreme weather events and enhance the reliability of sustainable energy and supply chains. WeatherNext Graph offers more accurate and efficient deterministic forecasts compared to the best deterministic systems in use today, providing a single weather forecast per time and location with a temporal resolution of 6 hours and a lead time of 10 days. WeatherNext Gen accurately generates an ensemble forecast, better than the current ensemble models most widely used today, helping decision-makers better understand weather uncertainties and risks of extreme conditions.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Not Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Data scientists, machine-learning engineers, forecasting practitioners, and teams developing time-series forecasting systems.	Audience Meteorologists and climate researchers searching for a tool to enhance disaster preparedness and sustainability planning
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Not Supported
Screenshots and Videos No images available	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Supported Free Trial Not Supported	Pricing No information available. Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Supported Live Online Not Supported In Person Supported
Company Information Mistral AI Founded: 2023 France github.com/mistralai/timestral	Company Information Google DeepMind Founded: 2010 United Kingdom deepmind.google/science/weathernext/
Alternatives TimesFM-3 Google	Alternatives Skyfora
Nixtla	MetGIS
NVIDIA Earth-2 NVIDIA	The Weather Company
Solar Mini Upstage AI	Spire
Mistral NeMo Mistral AI View All	Meteomatics View All
Categories AI Models Supported	Categories AI Models Supported

Integrations AlphaCode Not Supported AlphaEvolve Not Supported AlphaFold Not Supported Chinchilla Not Supported Gemini Not Supported Gemini Deep Research Not Supported Gemini Diffusion Not Supported Gemini Enterprise Not Supported Gemini Enterprise Agent Platform Not Supported Gemini Robotics Not Supported GitHub Not Supported Google AI Studio Not Supported Google Cloud BigQuery Not Supported Google Cloud Platform Not Supported Google Earth Engine Not Supported Gopher Not Supported Mistral Forge Supported Music AI Sandbox Not Supported Project Mariner Not Supported Show More Integrations View All 1 Integration	Integrations AlphaCode Supported AlphaEvolve Supported AlphaFold Supported Chinchilla Supported Gemini Supported Gemini Deep Research Supported Gemini Diffusion Supported Gemini Enterprise Supported Gemini Enterprise Agent Platform Supported Gemini Robotics Supported GitHub Supported Google AI Studio Supported Google Cloud BigQuery Supported Google Cloud Platform Supported Google Earth Engine Supported Gopher Supported Mistral Forge Not Supported Music AI Sandbox Supported Project Mariner Supported Show More Integrations View All 18 Integrations
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