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.
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.
Llama-3 Chat (70B) supports multiple languages, enhancing its applicability in diverse linguistic contexts.
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.
The model was trained on over 15 trillion tokens of text data sourced from publicly available materials to ensure a broad understanding of language.
Llama-3 Chat (70B) has demonstrated strong performance metrics:

The model is available on the AI/ML API platform as "Llama 3 70B Chat" .
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.
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.
If you want to see how this model fares against other AIs check out this Comparison:
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
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| Input | |
| Output | |
| Benchmark | Score | What it measures | Source | Retrieved |
|---|---|---|---|---|
| Intelligence | 5.5 | Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial Analysis | Source | September 22, 2026 |
| Model | Input | Output | Context | Best for |
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Llama-3 Chat (70B) This page | ||||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
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.