Llama 3.1 70B Instruct

Meta chat

API ID: meta-llama/llama-3.1-70b-instruct

Input Price
$0.40
/1M tokens
Output Price
$0.40
/1M tokens

About Llama 3.1 70B Instruct

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong performance compared to leading closed-source models in human evaluations. To read more about the model release, [click here](https://ai.meta.com/blog/meta-llama-3-1/). Usage of this model is subject to [Meta's Acceptable Use Policy](https://llama.meta.com/llama3/use-policy/).

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

Model Specifications

Context Length
131k
Max Output
8k
Release Date
2024-07-23
Capabilities
chat
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
$0.30
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$9.60
/month
1000 tickets/day, ~800 tokens each

Meta Model Lineup

Compare all models from Meta to find the best fit

Model Input Output Context Capabilities
Llama 3.1 70B Instruct Current Free Free 131k chat
Llama 3 70B (Base) Free Free 8k chat
Llama 3 70B (Base) Free Free 8k chat
LlamaGuard 2 8B Free Free 8k chat
Llama 3 8B (Base) Free Free 8k chat
Llama 3 8B (Base) Free Free 8k chat

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Thedrummer UnslopNemo 12B
Input: $0.40
Output: $0.40
Context: 1.0M
NVIDIA Nemotron Nano 12B 2 VL
Input: $0.20
Output: $0.60
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๐Ÿš€ Quick Start

Get started with Llama 3.1 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="meta-llama/llama-3.1-70b-instruct",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)