LLaMA-2 (13B) overview
LLaMA-2 (13B) specs
- Developer
- Meta
- Input
- Text
- Output
- Text
- API
- OpenAI-compatible, base URL
https://api.aimlapi.com/v1
LLaMA-2 (13B) Description
LLaMA-2 (13B) is an AI powerhouse equipped with 13 billion parameters, enabling it to handle complex data processing, analysis, and predictive modeling with exceptional proficiency. This model is adept at navigating vast amounts of information, identifying patterns, and deriving insights, which are essential for making informed decisions.
Diverse Application Spectrum
With its extensive parameter count, LLaMA-2 (13B) can be applied across a wide array of fields, including but not limited to, natural language processing, image recognition, and computational biology. Its ability to process and analyze large datasets makes it an invaluable tool for research, business analytics, and technological innovation.
Use Cases for the Model
LLaMA-2 (13B) is perfect for organizations and researchers needing advanced AI for complex data analysis, creating intelligent systems, or enhancing existing models with deeper learning capabilities. Its robust architecture allows it to excel in tasks ranging from language translation and sentiment analysis to market prediction and scientific research.
Comparative Advantages
LLaMA-2 (13B) outperforms smaller models in its ability to understand and analyze complex structures and relationships within data, offering more accurate and insightful outputs. Its large scale and advanced capabilities provide a significant advantage in solving intricate problems and executing demanding tasks.
Customization and Scalability
The model is designed for adaptability, allowing it to be customized to the specific needs of different projects and industries. Whether scaling up for large data sets or requiring detailed analysis in niche areas, LLaMA-2 (13B) can be tailored to deliver optimal performance and results.
Driving AI Innovation
LLaMA-2 (13B) is at the forefront of AI development, offering cutting-edge capabilities for tackling some of the most challenging problems in various sectors. Its integration into AI strategies empowers organizations to advance their technological and analytical capabilities, leading to groundbreaking discoveries and solutions.
Use cases
- Chatbots and conversational agents
- Content creation and writing assistance
- Code generation and completion (via variant models)
- Customer engagement and support automation
- Research and data analysis involving natural language
Capabilities
- Function calling
- Streaming
- Structured outputs
- Reasoning
LLaMA-2 (13B) benchmarks by 
Artificial Analysis
See how LLaMA-2 (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 (13B) API pricing
| Usage | Price | Unit |
|---|---|---|
| Input | $0.231 | 1M tokens |
| Output | $0.231 | 1M tokens |
LLaMA-2 (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 (13B) vs other models: token prices
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
 LLaMA-2 (13B) | $0.231 | $0.231 |
| Muse Glimmer 30B | $0.3703 | $1.59 |
| Muse Spark Open | $1.32 | $4.5 |
| Muse Spark 1.3 | $1.32 | $4.5 |
| Muse Wonder | $4.23 | $21.16 |
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LLaMA-2 (13B) FAQ
How much does LLaMA-2 (13B) cost?
LLaMA-2 (13B) is priced at input $0.231 / 1M, output $0.231 / 1M.
Does LLaMA-2 (13B) support streaming?
Yes, LLaMA-2 (13B) can stream responses as they are generated.
Does LLaMA-2 (13B) support tool calling and structured outputs?
Yes, LLaMA-2 (13B) supports both function calling and structured outputs.
Who created LLaMA-2 (13B)?
LLaMA-2 (13B) was built by Meta.
Can LLaMA-2 13B process image or video inputs?
No, it only supports text-based capabilities such as function calling, streaming, structured outputs, and reasoning.
Does LLaMA-2 (13B) support reasoning tasks?
Yes, reasoning is listed as one of its capabilities.