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Llama-3.1-Nemotron-Ultra-253B-v1
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. Please see [Usage Recommendations](https://huggingface.co/nvidia/Llama-3_1-Nemotron-Ultra-253B-v1#quick-start-and-usage-recommendations) for more.
Available Providers (3)
| Provider | Model ID | Input Cost | Output Cost | Context | Max Output | Docs |
|---|---|---|---|---|---|---|
| | nvidia/llama-3.1-nemotron-ultra-253b-v1 | $0.00/MTok | $0.00/MTok | 131.1K | 8.2K | |
| | Llama-3_1-Nemotron-Ultra-253B-v1 | $0.55/MTok | $1.80/MTok | 32K | 4.1K | |
| | nvidia/Llama-3_1-Nemotron-Ultra-253B-v1 | $0.60/MTok | $1.80/MTok | 128K | 4.1K |
Capabilities
Reasoning
Tool Calling
Attachments
Open Weights
Structured Output