Mistral Large 2

Mistral Large 2

Mistral AI
Timestral

Timestral

Mistral AI
+
+

Related Products

  • Google AI Studio
    41 Ratings
    Visit Website
  • Gemini Enterprise Agent Platform
    1,161 Ratings
    Visit Website
  • LM-Kit.NET
    29 Ratings
    Visit Website
  • IONOS Cloud GPU Servers
    45,340 Ratings
    Visit Website
  • ONLYOFFICE Docs
    715 Ratings
    Visit Website
  • Retool
    598 Ratings
    Visit Website
  • LTX
    182 Ratings
    Visit Website
  • Iru
    1,389 Ratings
    Visit Website
  • Google Cloud Run
    349 Ratings
    Visit Website
  • optivalue.ai
    4 Ratings
    Visit Website

About

Mistral AI has launched the Mistral Large 2, an advanced AI model designed to excel in code generation, multilingual capabilities, and complex reasoning tasks. The model features a 128k context window, supporting dozens of languages including English, French, Spanish, and Arabic, as well as over 80 programming languages. Mistral Large 2 is tailored for high-throughput single-node inference, making it ideal for large-context applications. Its improved performance on benchmarks like MMLU and its enhanced code generation and reasoning abilities ensure accuracy and efficiency. The model also incorporates better function calling and retrieval, supporting complex business applications.

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.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud 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 Not Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Developers, businesses, and enterprises seeking a high-performance, scalable AI solution for applications involving code generation, complex reasoning, and multilingual support

Audience

Data scientists, machine-learning engineers, forecasting practitioners, and teams developing time-series forecasting systems.

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

Free
Open source
Free Version Supported
Free Trial Not Supported

Pricing

No information available.
Free Version 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 Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Mistral AI
Founded: 2023
France
mistral.ai

Company Information

Mistral AI
Founded: 2023
France
github.com/mistralai/timestral

Alternatives

Mistral Medium 3

Mistral Medium 3

Mistral AI

Alternatives

TimesFM-3

TimesFM-3

Google
Mistral Large

Mistral Large

Mistral AI
Mistral Large 4

Mistral Large 4

Mistral AI
Mistral NeMo

Mistral NeMo

Mistral AI
Solar Mini

Solar Mini

Upstage AI
Mistral NeMo

Mistral NeMo

Mistral AI

Categories

AI Code Generators Supported
AI Coding Models Supported
AI Models Supported
Foundation Models Supported

Categories

AI Models Supported

Integrations

C Supported
C# Supported
C++ Supported
CSS Supported
Clojure Supported
Elixir Supported
Gemini Enterprise Agent Platform Notebooks Supported
Go Supported
Julia Supported
Kotlin Supported
Mistral AI Supported
PHP Supported
R Supported
Ruby Supported
Rust Supported
Scala Supported
StackAI Supported
TypeScript Supported
Visual Basic Supported

Integrations

C Not Supported
C# Not Supported
C++ Not Supported
CSS Not Supported
Clojure Not Supported
Elixir Not Supported
Gemini Enterprise Agent Platform Notebooks Not Supported
Go Not Supported
Julia Not Supported
Kotlin Not Supported
Mistral AI Not Supported
PHP Not Supported
R Not Supported
Ruby Not Supported
Rust Not Supported
Scala Not Supported
StackAI Not Supported
TypeScript Not Supported
Visual Basic Not Supported
Claim Mistral Large 2 and update features and information
Claim Mistral Large 2 and update features and information
Claim Timestral and update features and information
Claim Timestral and update features and information