Mistral releases Large 4 "Le Chonk", a 1-trillion-parameter model promised to be open and strong in cybersecurity
Prepared by Sintelligent with the help of SI. Publication time restored from the build log. . Updated: .
Open models once again have a heavyweight Western player, and it does not refuse to work where closed models put up a barrier; the weights are still only a promise, but the race among open models goes on.
Mistral Large 4 is a multimodal mixture-of-experts model: 1 trillion parameters in total, 49 billion active, 1 million token context. A preview is currently available via API (about $1.36 per million input tokens and $4.18 per million output tokens according to Mistral); the company promises the weights, license and training details at the end of the month. According to Mistral itself, the model scores 82% on a vulnerability reproduction test, while Claude Opus 5.5 and GPT-6 Astra, as relayed by The Decoder, score almost nothing because they refuse to perform such a task. On the Artificial Analysis overall index, Large 4 scores 38 versus 58 for Claude Opus 5.5.