# Mistral Large 4 open weights — Le Chonk lands on Hugging Face

> Mistral's trillion-parameter flagship is now downloadable, with better agent and coding scores than the preview.

- Org: Mistral AI
- Date: 2026-10-29
- Category: model
- Source: https://mistral.ai/news/mistral-large-4-oss/
- Canonical page: https://ai-tldr.dev/releases/mistral-large-4-open-weights/

Mistral Large 4 (Le Chonk) is now open-weight: Mistral released the 1T-parameter multimodal MoE on Hugging Face after three more weeks of RL. It scores 41% on Terminal-Bench 4.0, up 13 points from the preview.

## What it is

Mistral AI released the weights of Mistral Large 4, nicknamed Le Chonk, on October 29, 2026, three weeks after the API-only public preview. The released model is an improved version: it had three more weeks of reinforcement learning, and the old "None" reasoning mode is replaced by Low, Medium and High.

## How it works

Under the hood is a sparse mixture-of-experts with about 1T parameters, of which roughly 49B run per token: a router picks 4 of 128 experts plus one shared expert. It reads text and images through a 1.6B Pixtral vision encoder and handles up to 1M tokens. Official FP8 and NVFP4 checkpoints are on Hugging Face, and the model card gives ready vLLM and SGLang recipes for 8-GPU servers.

## Why it matters

Security teams and regulated companies can now run a frontier-class model on their own hardware instead of sending data to a US or Chinese API. Mistral reports a 96.6% refusal rate on malicious cyber requests and has partners such as ENISA, Cisco and CrowdStrike testing it, while a stronger cyber variant stays limited to vetted design partners.

## Who it's for

self-hosting teams, security teams, European enterprises

## Try it

vllm serve mistralai/Mistral-Large-4-1T-A52B (see the model card for the 8-GPU flags)

## Quick facts

- Maker: Mistral AI
- Weights: mistralai/Mistral-Large-4-1T-A52B (FP8, NVFP4)
- Parameters: ~1T total · 49B active (MoE)
- Context window: 1M tokens
- License: Mistral Ecosystem Open-Weight (modified MIT)
- API price: $0.70 in / $2.10 out per 1M tokens
- Reasoning modes: Low, Medium, High (default)

## FAQ

### Can I use Mistral Large 4 weights commercially?

Mistral Large 4 ships under the Mistral Ecosystem Open-Weight license, a modified MIT license. Mistral says anyone can use, modify, fine-tune and commercialize the model for free. The one exception is a business that runs a Model-as-a-Service offering: it needs a separate commercial license from Mistral.

### What hardware does Mistral Large 4 need to run locally?

Mistral Large 4 is a roughly 1T-parameter model, so the official FP8 and NVFP4 checkpoints are served across 8 GPUs with vLLM or SGLang, and the NVFP4 build needs NVIDIA Blackwell GPUs. Hugging Face reports that a 2-bit GGUF build fits on a single Apple Silicon Ultra with 512 GB of unified memory, at about 15 tokens per second.

### How is the open-weight Mistral Large 4 different from the October preview?

The open-weight Mistral Large 4 had three more weeks of reinforcement learning than the public preview from early October. Mistral reports Terminal-Bench 4.0 rising from 28% to 41% with 30% fewer output tokens, Finch rising from 67.4% to 73.3%, and attack resistance on the B3 agent-security test rising from 93.3% to 97.1%.

### How does Mistral Large 4 compare with other open-weight models?

Mistral says Mistral Large 4 scores 48% on the Artificial Analysis Coding Agent Index, effectively tied with GLM-5.3, while using 47% fewer tokens per task. Its model card gives an Artificial Analysis Intelligence Index v5 score of 26, the highest among western open-weight models, but leading Chinese open-weight models score higher on that aggregate.

## Links

- [Announcement](https://mistral.ai/news/mistral-large-4-oss/)
- [Weights (FP8)](https://huggingface.co/mistralai/Mistral-Large-4-1T-A52B)
- [License](https://huggingface.co/mistralai/Mistral-Large-4-1T-A52B/blob/main/LICENSE)
- [HF Blog Guide](https://huggingface.co/blog/mistral-large4)
- [Model Docs](https://docs.mistral.ai/models/mistral-large-4-0)
- [HN Discussion](https://news.ycombinator.com/item?id=50289418)