Mistral Large 4 previews a 1T open-weight model before weights land

Mistral is putting a trillion-parameter open-weight model into enterprise evaluation in two stages: a public API preview now, followed by weights planned for the end of October 2026. Mistral Large 4 targets coding, agentic workflows and multimodal workloads, while independent early testing places it near—but not clearly ahead of—the strongest available models. The split between immediate API access and later self-hosting gives you an evaluation window before deployment economics and operational requirements are known.

• Mistral Large 4 entered public preview on October 6, 2026 through Mistral Studio; the company plans to release its weights by the end of the month.
• The model has 1 trillion total parameters and 49 billion active parameters, and is natively multimodal; Mistral positions it for coding, agentic workflows, cybersecurity, finance and law.
• Mistral trained Large 4 on a cluster of 3,800 NVIDIA Grace Blackwell GPUs, according to Simon Willison’s early examination.
• Early Artificial Analysis testing gave it a score of 38, just behind the 552-billion-parameter DeepSeek 4.1 Flash; the Mistral API currently exposes only “none” and “high” reasoning levels.

Bottom line If you are evaluating open models for agents or multimodal workloads, test the preview now but defer self-hosting and capacity commitments until the weights and serving requirements arrive.