Llama 3.1 Nemotron 70B Instruct

NVIDIA chattool_use

API ID: nvidia/llama-3.1-nemotron-70b-instruct

Input Price
$1.20
/1M tokens
Output Price
$1.20
/1M tokens

About 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/).

๐Ÿ’ฐ
Price Ranking
#962 lowest price among 1240 Chat models

Model Specifications

Context Length
131k
Max Output
16k
Release Date
2024-10-15
Capabilities
chat tool_use
Input Modalities
text
Output Modalities
text

Best For

  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)

๐Ÿ’ฐ Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.90
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$28.80
/month
1000 tickets/day, ~800 tokens each

NVIDIA Model Lineup

Compare all models from NVIDIA to find the best fit

Model Input Output Context Capabilities
Llama 3.1 Nemotron 70B Instruct Current Free Free 131k chat tool_use
Nemotron-4 340B Instruct Free Free 4k chat
Nemotron-4 340B Instruct Free Free 4k chat
Llama 3.1 Nemotron Nano 8B v1 Free Free 131k chat
Llama 3.1 Nemotron Nano 8B v1 Free Free 131k chat
Llama 3.3 Nemotron Super 49B v1 Free Free 131k chat

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๐Ÿš€ Quick Start

Get started with Llama 3.1 Nemotron 70B Instruct API

OpenAI-compatible SDK
from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="nvidia/llama-3.1-nemotron-70b-instruct",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)