Frontier AI in your hands. Get work done with @MistralVibe at https://xitter.cf/t.co/JsGnCVMUFq.
Paris, France
Joined June 2023
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Mistral AI retweeted
🇫🇷 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 ↓
surgehq.ai/benchmarks/sudo-l…
Mistral AI retweeted
For their Mistral Large 4 release, @MistralAI ran a blind Surge human eval, with our expert software engineers evaluating five frontier models on coding quality.
Le Chonk ranked #1 among open-weight models and #2 overall, behind only Opus 5.
Unit tests ask: does it work?
Human code review asks: would you merge it?
Our evals measures the difference. Working code is the floor; professional taste and judgment are what make it shippable.
Congrats to the Mistral team on le Chonk and their big release 🇫🇷
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 retweeted
Build once. Reuse everywhere.
The Connectors API is now in Public Preview. Register MCP connectors once and use them across Le Chat, AI Studio, and all programmatic tool calls.
Mistral AI retweeted
Since launching Voxtral Realtime, the community response has been remarkable. Today, we share the technical report, launch the Realtime playground in Mistral Studio, and share the model in Hugging Face Transformers. 🧵
Mistral AI retweeted
Mistral Vibe 2.0 is now available on Le Chat Pro and Team plans.
Build, maintain, and ship code faster with the terminal-native coding agent by @MistralAI. Here’s what’s new 🧵
Mistral AI retweeted
One week of @MistralAI's Devstral 2 in Cline.
6.52% diff-edit failure rate.
On the diff-edit chart, that puts it ahead of GLM-4.6 (7.58%) and Kimi-K2 (9.29%) -- while being 123B params (5x smaller than DeepSeek V3.2).
Devstral is FREE during launch so try it out while the promotion lasts.
Mistral AI retweeted
Unmute turns a text LLM into a voice AI. At unmute.sh, it’s @MistralAI's Mistral-Small-3.2-24B, making it fully open-source. Play a quiz game with a snarky host, catch up on tech news, or just hang out and talk. Or modify it to do anything you want!
Mistral AI retweeted
Today we are releasing ether0, our first scientific reasoning model.
We trained Mistral 24B with RL on several molecular design tasks in chemistry. Remarkably, we found that LLMs can learn some scientific tasks more much data-efficiently than specialized models trained from scratch on the same data, and can greatly outperform frontier models and humans on those tasks. For at least a subset of scientific classification, regression, and generation problems, post-training LLMs may provide a much more data-efficient approach than traditional machine learning approaches. 1/n