LLaMA-2 Chat (70B) overview
LLaMA-2 Chat (70B) by Meta
Dive into the most advanced conversational AI with LLaMA-2 Chat (70B) API, featuring 70 billion parameters for unmatched dialogue quality and comprehension. Transform your interaction platforms with the pinnacle of AI communication technology.
LLaMA-2 Chat (70B) specs
- Developer
- Meta
- Input
- Text
- Output
- Text
- API
- OpenAI-compatible, base URL
https://api.aimlapi.com/v1
LLaMA-2 Chat (70B) Description
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.
Superior Conversational Quality
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.
Comparative Advantages
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.
Customization and Integration
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.
Leading the Way in Conversational AI
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.
Use cases
- Conversational AI and chatbots
- Research and commercial applications requiring dialogue generation
- Content creation and summarization within English context
Capabilities
- Function calling
- Streaming
- Structured outputs
LLaMA-2 Chat (70B) benchmarks by
Artificial Analysis
See how LLaMA-2 Chat (70B) scores on independent evaluations. Data retrieved Nov 3, 2026.
Benchmark results
Compare 13 models available on AI/ML API across 5 independent benchmarks.
Humanity's Last Exam
Expert-written questions across academic subjects.
GPQA Diamond
Graduate-level science questions written to resist web search.
LiveCodeBench
Competitive programming problems published after training cutoffs.
MMLU-Pro
Multiple-choice knowledge and reasoning across 14 subjects.
MATH-500
Competition mathematics problems.
LLaMA-2 Chat (70B) API pricing
| Usage | Price | Unit |
|---|---|---|
| Input | $0.945 | 1M tokens |
| Output | $0.945 | 1M tokens |
LLaMA-2 Chat (70B) is deprecated on AI/ML API. The rates apply to existing integrations; the models below are current alternatives.
Prices from the AI/ML API price list, checked on Nov 4, 2026.
LLaMA-2 Chat (70B) vs other models: token prices
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
| $0.945 | $0.945 | |
| $0.3703 | $1.59 | |
| $1.32 | $4.5 | |
| $1.32 | $4.5 | |
| $4.23 | $21.16 |
Related articles
LLaMA-2 Chat (70B) FAQ
Does LLaMA-2 Chat (70B) support streaming?
Yes, LLaMA-2 Chat (70B) can stream responses as they are generated.
Does LLaMA-2 Chat (70B) support tool calling and structured outputs?
Yes, LLaMA-2 Chat (70B) supports both function calling and structured outputs.
Who created LLaMA-2 Chat (70B)?
LLaMA-2 Chat (70B) was built by Meta.
Does LLaMA-2 Chat (70B) accept image inputs?
No. Its listed capabilities are function calling, streaming, and structured outputs, with no image input support.
Which API endpoint is used to access LLaMA-2 Chat (70B)?
It is accessed through the v1 endpoint.

