Mistral AI Releases Mistral Large 4 With 1.05T Parameters

Mistral AI announced the public preview release of Mistral Large 4 (ML4), internally codenamed 'Le Chonk,' on October 6, 2026. This new model is a granular Mixture of Experts (MoE) architecture, boasting a total of 1.05 trillion parameters. Specifically, it features 49 billion active parameters per token, a 1.6 billion parameter vision encoder for native image input, and an extensive 1 million token context window. The model was trained from scratch using 3,800 NVIDIA Grace Blackwell GPUs within Mistral's own European data centers. The API for ML4 is now accessible, with pricing set at $1.36 per 1 million input tokens and $4.18 per 1 million output tokens. However, the model weights are scheduled for release at the end of October, meaning self-hosting capabilities will not be available until then. Mistral AI highlights ML4's standout performance in cybersecurity, reporting a 93% score on the Cybench benchmark and 82% on CyberGym-E2E. The company noted that several closed frontier models achieved near-zero scores on these benchmarks due to task refusal. The architecture of ML4 is described as a hybrid instruct-and-reasoning MoE that natively accepts image inputs. The efficient activation of only approximately 4.7% of the total weights per token allows a model of this scale to be served at mid-tier pricing. While the full 1.05 trillion parameters require memory, the activation count dictates the compute resources needed, not the overall hardware expenditure for users. Mistral has not yet disclosed the specific expert count, top-k routing mechanisms, or layer layout, details that are expected to be provided upon the release of the model weights. The training data for ML4 encompassed over 160 languages, including all official European Union languages, indicating a broad linguistic capability. Mistral AI, founded in 2023 by former Google DeepMind and Meta AI researchers, is a European artificial intelligence company focused on developing open and efficient large language models. The company has previously released models like Mistral 7B and Mixtral 8x7B, which gained traction for their performance and accessibility. The development of ML4 signifies a significant step forward in the company's ambition to compete with larger, established AI labs by pushing the boundaries of model scale and multimodal capabilities while maintaining a focus on efficiency and European data sovereignty. The release of ML4 positions Mistral AI as a key player in the competitive landscape of advanced AI development, particularly with its emphasis on specialized benchmarks like cybersecurity.