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id: "introducing-mistral-large-4-le-chonk-63bbb2"
slug: "introducing-mistral-large-4-le-chonk-63bbb2"
title: "Introducing Mistral Large 4: Le chonk"
description: "Mistral has released a preview of Large 4 through its API, according to Simon Willison’s public account."
retrieval_nugget: "Mistral has released a preview of Large 4 through its API, according to Simon Willison’s public account."
observed_at: "2026-10-06"
record_date: "2026-10-06"
date_kind: "observed_at"
why_it_matters: "Mistral has released a preview of Large 4 through its API, according to Simon Willison’s public account. The model is described as having 1 trillion parameters, with 49 billion active, and as trained on Mistral’s cluster of 3,800 NVIDIA Grace Blackwell GPUs. The API offers two reasoning levels, “none” and “high.” Willison reports an Artificial Analysis score of 38 and compares it with a score of 9"
novelty: "notable"
verification_level: "source-linked"
signal_type: "release"
source_platform: "simonwillison.net"
topics: []
entities: []
related_patterns: []
source_url: "https://simonwillison.net/2026/Oct/6/le-chonk"
source_urls: ["https://simonwillison.net/2026/Oct/6/le-chonk"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "signal:introducing-mistral-large-4-le-chonk-63bbb2"
status: "published"
visuals: []
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
routes: {"html":"https://newruntime.com/signals/introducing-mistral-large-4-le-chonk-63bbb2/","markdown":"https://newruntime.com/signals/introducing-mistral-large-4-le-chonk-63bbb2.md","json":"https://newruntime.com/signals/introducing-mistral-large-4-le-chonk-63bbb2.json"}
---

# Introducing Mistral Large 4: Le chonk

## Retrieval answer

Mistral has released a preview of Large 4 through its API, according to Simon Willison’s public account.

Mistral has released a preview of Large 4 through its API, according to Simon Willison’s public account. The model is described as having 1 trillion parameters, with 49 billion active, and as trained on Mistral’s cluster of 3,800 NVIDIA Grace Blackwell GPUs. The API offers two reasoning levels, “none” and “high.” Willison reports an Artificial Analysis score of 38 and compares it with a score of 9 for Mistral Large 3. Mistral says it plans to release open weights at the end of the month; that release remains prospective. The reported score is one benchmark measure, not a broad assessment of model quality or capability.

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

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