Llama 3.1 70B Instruct

llama-3.1-70b-instruct
byMeta Llama|Created May 26, 2025
Chat Completions

Meta’s Llama 3.1 70B instruct-tuned model, optimized for high-quality dialogue use cases. It demonstrates strong performance in human evaluations and is suitable for a wide range of conversational AI applications.

Pricing

Pay-as-you-go rates for this model. More details can be found here.

Input Tokens (1M)

$0.30

Output Tokens (1M)

$0.40

Capabilities

Input Modalities

Text

Output Modalities

Text

Supported Parameters

Available parameters for API requests

Frequency Penalty
Logit Bias
Logprobs
Max Completion Tokens
Presence Penalty
Response Format
Stop
Temperature
Tool Choice
Tools
Top P

Usage Analytics

Token usage across the last 30 active days

Uptime

Reliability over the last 7 days

Throughput

Time-To-First-Token (TTFT)

Code Example

Example code for using this model through our API with Python (OpenAI SDK) or cURL. Replace placeholders with your API key and model ID.

Basic request example. Ensure API key permissions. For more details, see our documentation.

from openai import OpenAI

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

resp = client.chat.completions.create(
    model="llama-3.1-70b-instruct",
    messages=[
        {{"role": "user", "content": "What's 2+2?"}}
    ],
    temperature=0.2,
)
print(resp.choices[0].message.content)