Particle.news

Mistral Publishes Le Chonk Weights and Bills It as the Leading Open Model for Coding and Cybersecurity

The company says letting organizations self‑host advanced models will protect Western digital sovereignty and ensure continuity for businesses and governments.

Overview

  • Mistral has published the finalized weights for Mistral Large 4, nicknamed Le Chonk, on Hugging Face and says the model is now widely available for self‑hosting.
  • The company cites Artificial Analysis benchmarks showing Le Chonk scoring about 41% on agentic coding tests versus GLM‑5.3’s 40% and 79% on a defensive cybersecurity index versus GLM‑5.3’s 29%.
  • Mistral says the model improved after reinforcement learning during a short preview period and was trained on roughly 3,800 Nvidia Grace Blackwell GPUs using about 10 megawatts, which the firm presents as evidence of compute efficiency.
  • Security experts warn the public release is a dual‑use risk because the same downloadable model that helps automate penetration testing can be adapted by attackers to find or exploit vulnerabilities.
  • Mistral plans a family of Le Chonk models, including smaller laptop‑capable versions, but independent benchmarking and oversight are still needed to corroborate the company’s performance and safety claims.