Llama-3.1-Nemotron-Ultra-253B-v1 is a large language model (LLM) optimized for advanced reasoning, human-interactive chat, retrieval-augmented generation (RAG), and tool-calling tasks. Derived from Meta’s Llama-3.1-405B-Instruct, it has been significantly customized using Neural Architecture Search (NAS), resulting in enhanced efficiency, reduced memory usage, and improved inference latency. The model supports a context length of up to 128K tokens and can operate efficiently on an 8x NVIDIA H100 node. Note: you must include `detailed thinking on` in the system prompt to enable reasoning.
Try NowAdvanced reasoning with large nvidia model
Rag or tool-calling at scale
Frontier open-source thinking
131,072 tokens
131,072 tokens
$0.60 per 1M tokens
$1.80 per 1M tokens
$15 per 1K calls
$0.19 per 1K calls