Llama-3 Chat (70B) API

Meta Llama 3 70B Chat excels in complex language tasks with advanced instruction-driven capabilities.
Output

Overview

Meta Llama 3 70B Chat Description

Basic Information

  • Model Name: Llama-3 Chat (70B)
  • Developer/Creator: Meta
  • Release Date: April 18, 2024
  • Version: 0.1
  • Model Type: Large Language Model (LLM)
Overview:

Llama-3 Chat (70B) is a state-of-the-art large language model developed by Meta, designed specifically for conversational AI applications. This model excels in generating human-like text based on input prompts, making it suitable for chatbots, virtual assistants, and interactive dialogue systems.

Key Features:
  • 70 Billion Parameters: Offers high capacity for understanding and generating complex language patterns.
  • Instruction-Tuned: Optimized for following user instructions accurately, enhancing its usability in interactive applications.
  • Grouped-Query Attention (GQA): Improves inference efficiency and scalability, allowing for faster response times.
  • Extended Context Length: Supports an input length of up to 8,192 tokens, accommodating more extensive dialogues.
  • Multilingual Capabilities: Can process and generate text in various languages, making it versatile for global applications.
Intended Use:

The model is intended for software developers and researchers seeking to implement advanced conversational capabilities in applications such as customer support chatbots, content generation tools, and educational platforms.

Language Support:

Llama-3 Chat (70B) supports multiple languages, enhancing its applicability in diverse linguistic contexts.

Technical Details

Architecture:

Llama-3 Chat (70B) utilizes an optimized transformer architecture that incorporates Grouped-Query Attention (GQA). This architecture allows the model to efficiently manage long contexts while maintaining high-quality output.

Training Data:

The model was trained on over 15 trillion tokens of text data sourced from publicly available materials to ensure a broad understanding of language.

  • Data Source and Size: The training dataset includes a diverse mix of text from books, websites, and other media to enhance the model's robustness across various topics.
  • Knowledge Cutoff: The model's knowledge is current as of December, 2023.
  • Diversity and Bias: The training data was curated to minimize biases while maximizing diversity in topics and styles, contributing to the model's overall effectiveness.
Performance Metrics and Comparison to Other Models:

Llama-3 Chat (70B) has demonstrated strong performance metrics:

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Usage

Code samples

The model is available on the AI/ML API platform as "Llama 3 70B Chat" .

Ethical Considerations

Meta emphasizes ethical considerations in AI development by promoting transparency regarding the model's capabilities and limitations. The organization encourages responsible usage to prevent misuse or harmful applications of generated content.

Licensing

Llama models are available under an open-source license that allows both research and commercial usage rights while ensuring compliance with ethical standards.

Get Llama 3 70B Chat API here.

AI Comparison

If you want to see how this model fares against other AIs check out this Comparison:

Use cases

  • Multilingual chatbots with deep context
  • Coding assistants for debugging and generation
  • Document analysis across long text spans
  • Instruction-following agents in enterprise settings
  • Synthetic data generation for training and distillation

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How to use Llama-3 Chat (70B) API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to .

OpenAI-compatible — swap the base URL and it works with your existing SDK.

Llama-3 Chat (70B) API Pricing

TypePrice
Input
Output

Llama-3 Chat (70B) Benchmarks

BenchmarkScoreWhat it measuresSourceRetrieved
Intelligence
5.5
Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial AnalysisSourceSeptember 22, 2026

Llama-3 Chat (70B) vs other models

ModelInputOutputContextBest for
$6.5 / 1M tokens
$39 / 1M tokens
1M tokens
Reasoning + agents
$2.6 / 1M tokens
$13 / 1M tokens
1M tokens
Balanced coding + agents
$3.9 / 1M tokens
$19.5 / 1M tokens
1M tokens
Long-context, multimodal & agentic workflows
$1.95 / 1M tokens
$11.7 / 1M tokens
1M tokens
Reasoning + agents

Frequently asked questions

Yes, Llama-3 Chat (70B) can stream responses as they are generated.

Yes, Llama-3 Chat (70B) supports both function calling and structured outputs.

Llama-3 Chat (70B) was built by Meta.

No. Its listed capabilities are function calling, streaming, and structured outputs, with no support for image or video inputs.

It is accessed via the v1/chat/completions endpoint.

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