Mistral releases Mistral Large 4, a 1-trillion-parameter model with open weights to follow
Mistral Large 4 runs general-purpose agents that gather information and produce finished deliverables across complex workflows.
Context
Europe's leading lab now has a frontier-scale model, and promised open weights would put it in anyone's hands.
Arena describes Mistral Large 4, nicknamed Le Chonk, as a 1T-parameter model with 49B active parameters. Mistral says open weights will arrive at the end of October. On Code Arena WebDev it debuted at number 45, putting Mistral among the top 15 labs.
Deep dive
Mistral opened a public preview of Mistral Large 4 on October 6, and the model drew wider attention on October 7. Mistral describes it as a natively multimodal model with 1 trillion parameters, 52 billion of them active per token, though Arena's posts give 49 billion. It is Mistral's largest model and was trained from scratch on 3,800 NVIDIA Grace Blackwell GPUs in Mistral's own European data centers.
Mistral is pitching it for coding, agent workflows, document and image understanding, and especially cybersecurity, where it argues open weights avoid refusals that get in the way of legitimate security research. On Arena's Code Arena WebDev leaderboard it debuted at number 45, putting Mistral among the top 15 labs there and making it the only European lab on that list.
The preview API is available through Mistral Studio. Mistral says the reinforcement learning run behind the model is still in progress, so results may change before the final release.
What to expect next
Mistral says it will release the weights by the end of October, along with more detail on the architecture, more benchmarks and its post-training method. Until then it is red-teaming the model with security partners and state authorities.
Mistral also says Large 4 will be the base for a new generation of specialized Mistral models, and that it expects further gains in the coming weeks and months as training continues.