LLaMA-2 Chat (70B) is a state-of-the-art conversational AI model, powered by 70 billion parameters, designed to deliver exceptional dialogue capabilities. It sets new standards in understanding nuances, context, and complexities of human language, providing a conversational experience that closely mirrors human interaction.
This model is unparalleled in its ability to conduct conversations with depth, accuracy, and a level of understanding that mimics human-like interactions. It's perfect for applications demanding high-quality, realistic, and context-aware dialogues, such as sophisticated virtual assistants, customer support systems, and interactive entertainment.
With its vast parameter size, LLaMA-2 Chat (70B) surpasses most other models in conversational AI, offering unparalleled depth and breadth in dialogue generation and understanding. Its advanced capabilities allow it to handle complex conversational challenges with ease, delivering a superior user experience.
The flexibility of LLaMA-2 Chat (70B) enables it to be tailored to specific conversational needs and integrated seamlessly into existing platforms. This adaptability ensures that it can deliver personalized and highly relevant interactions, meeting the diverse requirements of users and businesses alike.
LLaMA-2 Chat (70B) represents the apex of conversational AI technology, providing organizations with the tools to create truly engaging and intelligent dialogue systems. Its adoption can significantly enhance the quality of interactions, making it a key asset for any entity looking to lead in the domain of AI-powered communication.
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
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| Benchmark | Score | What it measures | Source | Retrieved |
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| Intelligence | 5.3 | Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| Model | Input | Output | Context | Best for |
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LLaMA-2 Chat (70B) This page | ||||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
Yes, LLaMA-2 Chat (70B) can stream responses as they are generated.
Yes, LLaMA-2 Chat (70B) supports both function calling and structured outputs.
LLaMA-2 Chat (70B) was built by Meta.
No. Its listed capabilities are function calling, streaming, and structured outputs, with no image input support.
It is accessed through the v1 endpoint.
