NVIDIA: Llama 3.1 Nemotron 70B Instruct

nvidia/llama-3.1-nemotron-70b-instruct

Released Oct 15, 2024131,072 context

$1.20/M input tokens$1.20/M output tokens

NVIDIA's Llama 3.1 Nemotron 70B is a language model designed for generating precise and useful responses. Leveraging Llama 3.1 70B 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.

Providers for Llama 3.1 Nemotron 70B Instruct

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Performance for Llama 3.1 Nemotron 70B Instruct

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Effective Pricing for Llama 3.1 Nemotron 70B Instruct

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Total usage per day on OpenRouter

Prompt

17M

Completion

2.81M

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.

Uptime stats for Llama 3.1 Nemotron 70B Instruct

Uptime stats for Llama 3.1 Nemotron 70B Instruct across all providers

Sample code and API for Llama 3.1 Nemotron 70B Instruct

OpenRouter normalizes requests and responses across providers for you.

OpenRouter provides an OpenAI-compatible completion API to 300+ models & providers that you can call directly, or using the OpenAI SDK. Additionally, some third-party SDKs are available.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.

Llama 3.1 Nemotron 70B Instruct - API Pricing & Providers | OpenRouter