Mistral AI

Frontier AI in your hands. Get work done with @MistralVibe at

[Mistral AI @MistralAI]

Meet Mistral Large 4, aka Le Chonk.

• 1T parameters, natively multimodal. 49B active.
It is the best open weights model from US or Europe on aggregated benchmarks.
• State-of-the-art on critical workloads, including cyber defense, manufacturing and finance and it surpasses closed frontier models on visual grounding.
• Forged in Europe end-to-end and is deployable from Europe via our own Mistral Cloud infrastructure.
• Available to all via API today. Working with cybersecurity partners privately.

Open weights release end of October.

[Mistral AI @MistralAI]

Today we’re announcing a new collaboration with @nvidia to bring AI to industrial engineering:

- faster simulation
- open benchmarks and supporting datasets for physics AI
- evaluations for agentic AI in CAE and EDA

More here: https://t.co/HXFVBqJSP1

[Noctus @noctus91]

Can an STT model make sense of a 135 year old recording?

I tested @MistralAI new Voxtral transcription model on a noisy French phonograph recording of Gustave Eiffel from 1891.

It matched 100 of 107 words in INA’s published excerpts (6.5% WER), while transcribing 75 additional words omitted from the reference.

It handled Eiffel’s dictation well but struggled with proper names and some guest dialogue.

A fascinating test of modern speech recognition on audio from 1891.

[Mistral AI @MistralAI]

More here: https://t.co/gm9wrCpiaj

[Mistral AI @MistralAI]

Introducing Voxtral 3: state-of-the-art Transcribe and Speech models powering Mistral’s new voice agents API. 🧵

[Mistral AI @MistralAI]

Voxtral 3 also introduces a voice agent SDK, built on LiveKit.

Transcribe listens, a reasoning model thinks and calls tools, and Speech replies, streamed as one pipeline for natural, intelligent conversation.

[Mistral AI @MistralAI]

Turns out le Chonk is into rocket science.

Mistral Large 4 scoring well in engineering and astronomy on Ulam’s private benchmark, STEMBench: https://t.co/OW3reppzWN

[Mistral AI @MistralAI]

Designed to support multiple tasks:

- reconstructing particle collisions
- identifying particles
- flagging unexpected signals
- evaluating future detector designs

[Mistral AI @MistralAI]

What can large-scale AI models bring to the growing complexity of particle physics?

@CERN and Mistral join forces to explore this question.

The ambition: a single Large Physics Model, trained on billions of simulated collisions.

[Mistral AI @MistralAI]

Welcome to Mistral, New Material. Let’s bring design to mission-critical AI.

[New Material @newmaterialAI]

New Material joins @MistralAI to design the frontier.

Over the last 6 years we've teamed up with ambitious organisations transforming their industries with AI. Today, we are excited to take it to the next level within Europe's premier frontier AI lab.

https://t.co/pqalKytF8q

[Mistral AI @MistralAI]

Look up! Mistral models are in orbit 🌍.

Proud to join @orbitworksspace and @LoftOrbital's first-of-its-kind AI satellite constellation with @NVIDIAAIInfra.

[Loft @LoftOrbital]

Just a few weeks ago, @orbitworksspace launched Altair, the first of a 50-satellite AI constellation that will enable users to receive AI-generated alerts within minutes. @NVIDIAAIInfra solutions is making this possible, supporting models like Mistral’s Ministral 3 to deliver fast, reliable answers for users' critical questions.

Read more: https://t.co/odWGsWLoq3

#SpaceMadeSimple #AIInfrastructure #AIforSpace

[Mistral AI @MistralAI]

@LoftOrbital @orbitworksspace @nvidia Proud to join @orbitworksspace and @LoftOrbital's AI satellite constellation with @NVIDIAAIInfra. 🛰

[Surge AI @HelloSurgeAI]

🇫🇷 Le Chonk joins the sudo L7 leaderboard 🇫🇷

We just added @MistralAI's Mistral Large 4 to sudo L7, our benchmark for staff-level software engineering.

Mistral Large 4 scores 13.3%, ahead of Muse Spark 1.3 (12.2%) and Grok 4.7 (10.6%).

sudo L7 tests whether coding agents can go beyond writing correct code to exercise the judgment of experienced engineers: navigating messy systems, spotting hidden risks, and knowing when technically correct code is still the wrong thing to ship.

Allez, le Chonk ! 🥖

Leaderboard ↓
https://t.co/ouCzU2m8mT

[Mistral AI @MistralAI]

Vision for engineering, manufacturing, and earth observation.

Checks mechanical parts, pulls evidence from PDFs, scans gigapixel satellite imagery for the hardest-to-find objects.

Bon appétit.

[Mistral AI @MistralAI]

Le Chonk cooked on visual grounding.

Pinpoints exactly where things are in an image.

42% on Dense 200, ahead of even frontier closed models..

[Mistral AI @MistralAI]

Engineering drawings: Mistral Large 4 zooms, inspects, verifies.

Until the answer is exact.

[Mistral AI @MistralAI]

The Ballon d'Or, legal division:

On Harvey's Legal Agent Benchmark (LAB), Mistral Large 4 is the #1 oss model.

[Mistral AI @MistralAI]

Mistral Large 4 runs general-purpose agents that gather information and produce finished deliverables across complex workflows.

[Mistral AI @MistralAI]

Gmail. Google Sheets. Slack. Salesforce.
i.e. the four horsemen of Monday.

On AutomationBench, Mistral Large 4 took on 657 business workflows across simulated workplace apps, all four included, finishing ahead of Kimi K3, MiMo-V2.6-Pro and DeepSeek V4 Pro.