Mistral released a public preview of ML4 ("le Chonk"), a 1 trillion-parameter multimodal model trained on European infrastructure, claiming state-of-the-art performance on cybersecurity, coding, and knowledge work tasks compared to both open-source and closed models. Full model weights drop end of month after red-teaming with security partners.

• ML4 scores 82% on reproducing and patching real vulnerabilities (highest of any tested model) while closed models like Claude Opus 5.5 and GPT-6 Astra score near zero due to safety refusals, making it uniquely useful for defensive security work.
• The model was trained from scratch on Mistral's own European infrastructure (3,800 NVIDIA Grace Blackwell GPUs) and will run independently under European law, positioning it as a sovereignty play against US-controlled AI systems.
• On blind human evaluation of coding quality, ML4 ranked second (3.74/5) behind only Claude Opus 5 (4.22/5), and outperforms competitors on agentic workflow benchmarks (AutomationBench 59.9%) and knowledge work tasks like legal and financial analysis.