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NVIDIA: Llama 3.3 Nemotron Super 49B v1

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Paid

Llama-3.3-Nemotron-Super-49B-v1 is a large language model (LLM) optimized for advanced reasoning, conversational interactions, retrieval-augmented generation (RAG), and tool-calling tasks. Derived from Meta's Llama-3.3-70B-Instruct, it employs a Neural Architecture Search (NAS) approach, significantly enhancing efficiency and reducing memory requirements. This allows the model to support a context length of up to 128K tokens and fit efficiently on single high-performance GPUs, such as NVIDIA H200. 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.

Parameters

49B

Context Window

131,072

tokens

Input Price

$0.13

per 1M tokens

Output Price

$0.4

per 1M tokens

Capabilities

Model capabilities and supported modalities

Performance

Reasoning

Excellent reasoning capabilities with strong logical analysis

Math

Capable of solving most mathematical problems accurately

Coding

Capable of generating functional code with good practices

Knowledge

Good knowledge foundation across many domains

Modalities

Input Modalities

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Output Modalities

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LLM Price Calculator

Calculate the cost of using this model

$0.000195
$0.001200
Input Cost:$0.000195
Output Cost:$0.001200
Total Cost:$0.001395
Estimated usage: 4,500 tokens

Monthly Cost Estimator

Based on different usage levels

Light Usage
$0.0053
~10 requests
Moderate Usage
$0.0530
~100 requests
Heavy Usage
$0.5300
~1000 requests
Enterprise
$5.3000
~10,000 requests
Note: Estimates based on current token count settings per request.
Last Updated: 2025/05/06