FlagshipNVIDIA

Llama 3.1 Nemotron Ultra 253B

Llama 3.1 Nemotron Ultra 253B is NVIDIA's flagship text generation model with 253 billion parameters and a 131K token context window.

Context 131K
Tier Flagship
Input from
$0.600 / 1M tokens
across 1 provider

API Pricing

ProviderInput / 1MOutput / 1MSpeedTTFTUpdated
$0.600$1.8040.7 t/s709ms4/14/2026

Prices updated daily. Last check: 4/14/2026

Model Details

General

Creator
NVIDIA
Family
Nemotron
Tier
Flagship
Context Window
131K
Modalities
Text

Capabilities

Tool Calling
No
Open Source
No

Strengths & Limitations

  • 253 billion parameters provide substantial model capacity
  • 131,072 token context window supports long document processing
  • NVIDIA backing offers potential optimization for NVIDIA hardware
  • Built on proven Llama 3.1 architecture foundation
  • Flagship tier positioning within Nemotron family
  • Large parameter count enables complex reasoning tasks
  • No tool calling or function calling support
  • Text-only modality lacks image or multimodal capabilities
  • Proprietary model with no open source availability
  • Smaller context window than some competing flagship models
  • No structured output modes documented

Key Features

253 billion parameter model
131,072 token context window
Text generation and completion
Long-form content creation
Document analysis and summarization
Multi-turn conversation support
Batch processing capabilities

About Llama 3.1 Nemotron Ultra 253B

Llama 3.1 Nemotron Ultra 253B is NVIDIA's flagship model in the Nemotron family, representing the largest parameter configuration at 253 billion parameters. Built on the Llama 3.1 architecture, this model positions NVIDIA as both a hardware and AI model provider in the competitive landscape. The model operates with a 131,072 token context window and focuses exclusively on text generation tasks. With its 253 billion parameter count, it sits among the larger language models available, though it lacks multimodal capabilities and tool calling functionality that some competing flagship models offer. The model is proprietary and not open source, differentiating it from Meta's base Llama releases. Llama 3.1 Nemotron Ultra 253B targets enterprise and research applications requiring substantial reasoning capabilities and long-form text generation. Its large parameter count suggests optimization for complex text tasks, though it competes in a space with other flagship models that may offer additional modalities or specialized capabilities.

Common Use Cases

Llama 3.1 Nemotron Ultra 253B suits enterprise applications requiring sophisticated text generation and analysis capabilities. Its large parameter count makes it appropriate for complex reasoning tasks, long-form content creation, and detailed document analysis where the 131K context window can accommodate substantial input materials. The model works well for research applications, content generation workflows, and scenarios where text-only processing is sufficient. Organizations already invested in NVIDIA infrastructure may find particular value in this model's potential hardware optimizations, though the lack of tool calling limits its applicability for agentic workflows that require structured interactions.

Frequently Asked Questions

How much does Llama 3.1 Nemotron Ultra 253B cost per million tokens?

Llama 3.1 Nemotron Ultra 253B pricing varies by provider and pricing type (standard vs batch). Check the pricing table above for current rates across all providers.

What is Llama 3.1 Nemotron Ultra 253B best used for?

This model excels at complex text generation, long-form content creation, and document analysis tasks that benefit from its 253 billion parameters and 131K context window. It's well-suited for research applications, detailed writing tasks, and enterprise use cases requiring sophisticated reasoning over large amounts of text.

Does Llama 3.1 Nemotron Ultra 253B support tool calling or multimodal inputs?

No, Llama 3.1 Nemotron Ultra 253B is text-only and does not support tool calling, function calling, or image inputs. It focuses exclusively on text generation and analysis tasks.