Mistral AI has published the weights of the flagship Mistral Large 4
⚡️ Mistral AI has published the weights of the flagship Mistral Large 4. This is a multimodal 1T model that was trained from scratch on the European infrastructure, and after a public preview, additionally trained through RL for programming and cybersecurity tasks. In the Artificial Analysis Coding rating...
- 01.⚡️ Mistral AI has published the weights of the flagship Mistral Large 4
- 02.This is a multimodal 1T model that was trained from scratch on the European infrastructure, and after a public preview, additionally trained through RL for programming and cybersecurity tasks
- 03.In the Artificial Analysis Coding rating...
⚡️ Mistral AI опубликовала веса флагманской Mistral Large 4 Это мультимодальная 1T-модель, которую обучили с нуля на европейской инфраструктуре, а после публичного превью дообучили через RL для задач программирования и кибербезопасности. В рейтинге Artificial Analysis Coding Agent Index модель набрала 48%. Она расходует на 47% меньше токенов на задачу по сравнению с GLM-5.3. Для контроля стоимости инференса предусмотрены три встроенных режима рассуждений: Low, Medium и дефолтный High. В бенчмарке Artificial Analysis Cyber Mistral Large 4 получила 51% за поиск, воспроизведение и патчинг уязвимостей. Модель выполняет аудит кода без ложных срабатываний фильтров безопасности. Веса опубликованы под модифицированной лицензией MIT. Попробовать модель без локальной установки можно через Mistral API, OpenRouter, среду разработки Vibe Code, а также в формате оптимизированных контейнеров NVIDIA NIM. Стоимость использования официального API составляет 70 центов за млн входных токенов (7 центов при кешировании) и 2,10 доллара за млн выходных. @ai_machinelearning_big_data
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