Llama-3.3-Nemotron-Super-49B-v1 is a large language model (LLM) which is a derivative of Meta Llama-3.3-70B-Instruct (AKA the reference model). It is a reasoning model that is post trained for reasoning, human chat preferences, and tasks, such as RAG and tool calling. The model supports a context length of 128K tokens.
Llama-3.3-Nemotron-Super-49B-v1 is a model which offers a great tradeoff between model accuracy and efficiency. Efficiency (throughput) directly translates to savings. Using a novel Neural Architecture Search (NAS) approach, we greatly reduce the model’s memory footprint, enabling larger workloads, as well as fitting the model on a single GPU at high workloads (H200). This NAS approach enables the selection of a desired point in the accuracy-efficiency tradeoff. For more information on the NAS approach, please refer to this paper.
nemotron-3-ultra-550b-a55bСемейство: nemotronКонтекст (макс.): 1,05 млн токеновВвод: текст; вывод: текстВозможности: рассуждение, инструменты, структурированный выводПоставщики: Bothub, CommandCode, Kenari, Kilo Gateway, Kilo Gateway, NanoGPT и ещё 8
nebius/nvidia/nemotron-3-ultra-550b-a55bСемейство: nemotronКонтекст (макс.): 1,05 млн токеновВвод: текст; вывод: текстВозможности: рассуждение, инструментыПоставщики: Eden AI
Источник каталога: https://models.dev/api.json. Получено: 01.11.2026 05:35 UTC. Цены и лимиты — данные источника; перед использованием проверяйте условия поставщика.