Nvidiatext->text

NVIDIA: Llama 3.1 Nemotron 70B Instruct

NVIDIA's Llama 3.1 Nemotron 70B is a language model designed for generating precise and useful responses. Leveraging [Llama 3.1 70B](/models/meta-llama/llama-3.1-70b-instruct) architecture and Reinforcement Learning from Human Feedback (RLHF), it excels in automatic alignment benchmarks. This model is tailored for applications requiring high accuracy in helpfulness and response generation, suitable for diverse user queries across multiple domains. Usage of this model is subject to [Meta's Acceptable Use Policy](https://www.llama.com/llama3/use-policy/).

Context Window

131K

Input Price

$1.20/M tokens

Output Price

$1.20/M tokens

Modality

text->text

Pricing Breakdown

Cost per million tokens for input and output

Input$1.20/M tokens

Output$1.20/M tokens

Cost Example: Processing 10,000 input tokens and generating 1,000 output tokens would cost approximately $0.013200

Context Window Size

Maximum tokens the model can process in a single request

Context Window131K tokens

13% of 1M max

~98K

Words Equivalent

~66

Pages of Text

~1311

Code Functions

Best Use Cases

What this model excels at

General-purpose

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