LLaMA-2 Chat (13B) overview
LLaMA-2 Chat (13B) specs
- Developer
- Meta
- Input
- Text
- Output
- Text
- API
- OpenAI-compatible, base URL
https://api.aimlapi.com/v1
LLaMA-2 Chat (13B) Description
LLaMA-2 Chat (13B) is a sophisticated conversational AI model with 13 billion parameters, capable of generating highly engaging, contextually aware dialogues. It is designed to provide a seamless conversational experience, capturing the subtleties and complexities of human interaction.
Advanced Conversational Capabilities
This model excels in delivering rich and nuanced conversations, making it ideal for applications requiring deep engagement, such as virtual assistants, customer service bots, and interactive platforms. Its ability to understand and respond to a wide range of topics and tones makes it an invaluable tool for creating realistic and satisfying dialogue experiences.
Comparative Advantages
With its large parameter count, LLaMA-2 Chat (13B) offers a level of conversational depth and understanding that surpasses smaller models. This capacity for nuanced conversation allows for more accurate, detailed, and human-like interactions, setting a new standard in conversational AI.
Customization and Flexibility
The model's architecture supports extensive customization, enabling it to cater to specific conversational needs and styles. This adaptability makes LLaMA-2 Chat (13B) a powerful tool for developing tailored chat solutions that can resonate with users on a personal level.
Revolutionizing Chat Experiences
LLaMA-2 Chat (13B) is at the forefront of conversational AI, offering organizations the opportunity to revolutionize their chat experiences. By leveraging its advanced capabilities, businesses can create engaging, intelligent, and responsive communication platforms that enhance user interaction and satisfaction.
Use cases
- Conversational AI and chatbots
- Customer engagement through detailed responses and summarization
- Language-related tasks enhanced by fine-tuning
- Content generation and knowledge extraction from long conversations or documents
Capabilities
- Function calling
- Streaming
- Structured outputs
LLaMA-2 Chat (13B) benchmarks by
Artificial Analysis
See how LLaMA-2 Chat (13B) 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 (13B) API pricing
| Usage | Price | Unit |
|---|---|---|
| Input | $0.231 | 1M tokens |
| Output | $0.231 | 1M tokens |
LLaMA-2 Chat (13B) 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 (13B) vs other models: token prices
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
| $0.231 | $0.231 | |
| $0.3703 | $1.59 | |
| $1.32 | $4.5 | |
| $1.32 | $4.5 | |
| $4.23 | $21.16 |
Related articles
LLaMA-2 Chat (13B) FAQ
Does LLaMA-2 Chat (13B) support streaming?
Yes, LLaMA-2 Chat (13B) can stream responses as they are generated.
Does LLaMA-2 Chat (13B) support tool calling and structured outputs?
Yes, LLaMA-2 Chat (13B) supports both function calling and structured outputs.
Who created LLaMA-2 Chat (13B)?
LLaMA-2 Chat (13B) was built by Meta.
Which API endpoint version does LLaMA-2 Chat (13B) use?
It uses the v1 endpoint.

