FlagshipNVIDIA

Llama 3.3 Nemotron Super 49B

Name: Llama 3.3 Nemotron Super 49B
Availability: InStock
Author: NVIDIA

Llama 3.3 Nemotron Super 49B is NVIDIA's flagship text-only model with a 131K token context window, optimized for complex reasoning and instruction following.

Context 131K

Tier Flagship

Input from

$0.100 / 1M tokens

across 2 providers

Compare Prices

API Pricing

Provider	Input / 1M	Output / 1M	Updated
Deep Infra	$0.100	$0.400	4/4/2026
OpenRouter	$0.100	$0.400	4/14/2026

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

131K token context window enables processing of lengthy documents
49 billion parameter architecture provides substantial model capacity
Flagship tier positioning within NVIDIA's Nemotron family
Optimized for complex reasoning and instruction following tasks
Built on proven Llama 3.3 foundation architecture
NVIDIA's specialized optimization for performance
Focused text-only design allows for specialized language capabilities

No tool calling or function execution support
Text-only modality - no image or multimodal input support
Proprietary model - weights and architecture details not publicly available
Smaller context window compared to some competing flagship models
No open source availability for customization or fine-tuning

Key Features

•131,072 token context window

•49 billion parameter architecture

•Text-only input and output

•Instruction following capabilities

•Complex reasoning support

•NVIDIA optimization

•Llama 3.3 foundation architecture

•Proprietary commercial model

About Llama 3.3 Nemotron Super 49B

Llama 3.3 Nemotron Super 49B is NVIDIA's flagship model in the Nemotron family, representing their most capable offering for text-based tasks. Built on the Llama 3.3 architecture with 49 billion parameters, this model is designed for demanding applications requiring sophisticated language understanding and generation. The model features a 131,072 token context window, enabling it to process and maintain coherence across lengthy documents and conversations. As a text-only model, it focuses exclusively on language tasks without multimodal capabilities, allowing for specialized optimization in natural language processing, reasoning, and instruction following. The model is proprietary and not open source, positioning it as NVIDIA's commercial flagship for enterprises and developers requiring high-performance language model capabilities.

Common Use Cases

Llama 3.3 Nemotron Super 49B is well-suited for enterprise applications requiring sophisticated text processing and reasoning capabilities. Its 131K context window makes it effective for document analysis, legal review, research synthesis, and content creation tasks involving lengthy source materials. The flagship tier positioning and 49B parameter count make it appropriate for complex reasoning tasks, advanced writing assistance, code generation and review, and educational content development. Organizations needing reliable instruction following for automated workflows, customer service applications, and content moderation will benefit from its specialized text-focused optimization.

Frequently Asked Questions

How much does Llama 3.3 Nemotron Super 49B cost per million tokens?

Llama 3.3 Nemotron Super 49B pricing varies by provider and pricing type (standard vs batch). Check the pricing table above for current rates across all providers.

What is Llama 3.3 Nemotron Super 49B best used for?

This model excels at complex text-based reasoning tasks, document analysis, content generation, and instruction following. Its 131K context window makes it particularly effective for processing lengthy documents, while its 49B parameter flagship architecture handles sophisticated reasoning and writing tasks.

Does Llama 3.3 Nemotron Super 49B support tool calling or multimodal inputs?

No, Llama 3.3 Nemotron Super 49B is a text-only model that does not support tool calling, function execution, or multimodal inputs like images. It focuses exclusively on text-based language tasks and reasoning capabilities.