Building upon Mistral Small 3 (2501), Mistral Small 3.1 (2503) adds state-of-the-art vision understanding and enhances long context capabilities up to 128k tokens without compromising text performance. With 24 billion parameters, this model achieves top-tier capabilities in both text and vision tasks. This model is an instruction-finetuned version of: Mistral-Small-3.1-24B-Base-2503.
Mistral Small 3.1 can be deployed locally and is exceptionally "knowledge-dense," fitting within a single RTX 4090 or a 32GB RAM MacBook once quantized.
It is ideal for: - Fast-response conversational agents. - Low-latency function calling. - Subject matter experts via fine-tuning. - Local inference for hobbyists and organizations handling sensitive data. - Programming and math reasoning. - Long document understanding. - Visual understanding.
For enterprises requiring specialized capabilities (increased con…
mistral-small-3-2-24b-instructСемейство: mistral-smallКонтекст (макс.): 256 тыс. токеновВвод: изображения, текст; вывод: текстВозможности: инструменты, структурированный вывод, вложенияПоставщики: AI/ML API, Kilo Gateway, NanoGPT, OpenRouter, Venice AI
Источник каталога: https://models.dev/api.json. Получено: 01.11.2026 00:22 UTC. Цены и лимиты — данные источника; перед использованием проверяйте условия поставщика.