Mistral releases Large 4, a 1-trillion-parameter model, in public preview
Illustration made with AI for ai notisMistral says Large 4 has 49 billion active parameters, costs $1.36 and $4.18 per million input and output tokens in preview, and will get open weights by the end of October.
- Mistral describes Large 4, published on 6 October 2026, as a natively multimodal model with 1 trillion parameters, 49 billion of them active.
- The preview API costs $1.36 per million input tokens and $4.18 per million output tokens; Mistral says it will release the weights by the end of the month.
- Until the weights are out, Mistral says it is red-teaming the model with cybersecurity leaders, vetted partners and state authorities, who use a version with reduced moderation.
Mistral AI published Mistral Large 4 on 6 October 2026. It describes a natively multimodal model with 1 trillion parameters, 49 billion of them active. The public preview runs on the company's own infrastructure, and the listed API price is $1.36 per million input tokens and $4.18 per million output tokens. Mistral says it will release the weights by the end of the month; until then it is red-teaming the model with cybersecurity leaders, vetted partners and state authorities. The benchmark results in the post, including a rank among the top five on the Artificial Analysis Cyber Index, are Mistral's own account. It says the model was trained on 3,800 NVIDIA Grace Blackwell GPUs in its own datacenters in Europe.
What it means for you Our view
The price, the benchmark scores and the Artificial Analysis Cyber Index ranking are Mistral's own account, and the open weights that would let others test them are a promise for the end of the month. Mistral says it trained Large 4 and serves the preview in its own datacenters in Europe, which matters if where a model runs is part of your procurement. Treat the preview as a trial: the $1.36 and $4.18 prices are listed for the preview only. Before you commit, ask Mistral whether those prices will hold once the weights are released, and run your own tasks on the preview.

