# Mistral says Le Chonk leads open-weight models for coding

- Published: 2026-10-29T17:00:00.000Z
- Updated: 2026-10-30T10:01:47.526Z
- Section: Models
- Topics: Code
- Page: https://aidailyjournal.com/en/n/2026/10/29/mistral-releases-weights-for-trillion-parameter-model-aimed-at-cybersecurity/
- Sources: [TechCrunch](https://techcrunch.com/2026/10/29/mistral-releases-weights-for-its-trillion-parameter-ai-model-targeting-cybersecurity), [Wired](https://wired.com/story/mistral-says-le-chonk-surpasses-chinese-models-cybersecurity), [Hugging Face](https://huggingface.co/blog/mistral-large4), [Mistral AI](https://mistral.ai/news/mistral-large-4-oss)

## Summary

Mistral has released the weights for Mistral Large 4, nicknamed Le Chonk, allowing businesses and governments to download and run the model themselves. The multimodal system has about 1 trillion total parameters, 49 billion active parameters and a 1-million-token context window; its weights are available on Hugging Face and through Mistral’s API. The company says the model delivers state-of-the-art performance in coding and cybersecurity, while offering three reasoning modes to balance cost and performance.

Mistral says the model scored 48% on the Artificial Analysis Coding Agent Index, tying GLM-5.3 while using 47% fewer tokens per task. A Hugging Face post says Le Chonk scored 82% on a test involving reproducing and patching software vulnerabilities. Wired noted that open availability also allows customization by malicious actors, making the model a dual-use technology.

## Why it matters (editorial interpretation)

The combination of open weights, a 1-million-token context window, and reasoning modes could give businesses and governments more control over how they use the model, according to Mistral’s release. But Wired notes that this availability also enables customization by malicious actors, underscoring its dual-use nature.

_Summary written by AI Daily Journal in its own words, based on the sources above. For details, read the original articles._