LLaMA-2-32K (7B) overview
LLaMA-2-32K (7B) specs
- Developer
- Together
- Input
- Text
- Output
- Text
- API
- OpenAI-compatible, base URL
https://api.aimlapi.com/v1
LLaMA-2-32K (7B) Description
LLaMA-2-32K (7B) is a dynamic AI model that combines a 7 billion parameter architecture with the ability to process up to 32,000 tokens, enabling it to handle extensive and complex data sequences. This model excels in tasks requiring deep understanding and extensive context, such as detailed text analysis, long-form content generation, and sophisticated data interpretation.
Extended Token Support
The 32,000 token support of LLaMA-2-32K (7B) allows for processing large chunks of information in a single instance, making it highly effective for applications that involve extensive textual data or require deep contextual analysis. This feature is crucial for achieving high levels of accuracy and detail in AI tasks.
Use Cases for the Model
This model is ideal for a range of applications, including academic research, legal document analysis, comprehensive market trend analysis, and generating detailed narratives or reports. Its ability to work with extensive data makes it a valuable tool for sectors that rely on thorough analysis and interpretation of large datasets.
Comparative Advantages
LLaMA-2-32K (7B) stands out for its capacity to manage and analyze large data sequences, offering a significant advantage over models with lesser token support. Its ability to maintain context over long sequences allows for more coherent and comprehensive analysis, particularly in tasks that necessitate a deep understanding of extended textual content.
Customization and Scalability
The model's design supports extensive customization and scalability, allowing it to adapt to the specific needs of different tasks and industries. This flexibility ensures that LLaMA-2-32K (7B) can be effectively integrated into various operational frameworks, delivering tailored and optimized AI solutions.
Driving Innovation in AI
With LLaMA-2-32K (7B), organizations can push the boundaries of what is possible with AI, leveraging its advanced capabilities to solve complex problems and generate insightful analyses. This model is at the forefront of AI innovation, providing a powerful tool for advancing research, development, and operational efficiency in numerous fields.
Use cases
- Book summarization and long narrative summarization
- Multi-document question answering
- Instruction-following chatbots
- Detailed report generation and data interpretation
Capabilities
- Function calling
- Streaming
- Structured outputs
LLaMA-2-32K (7B) API pricing
| Usage | Price | Unit |
|---|---|---|
| Input | $0.21 | 1M tokens |
| Output | $0.21 | 1M tokens |
LLaMA-2-32K (7B) 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-2-32K (7B) vs other models: token prices
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
 LLaMA-2-32K (7B) | $0.21 | $0.21 |
| RedPajama-INCITE Chat (3B) | $0.105 | $0.105 |
 Small 3.2 24B | $0.0794 | $0.2116 |
 Nemotron 3 Nano 30B A3B | $0.0529 | $0.2116 |
| Nemotron 3.5 Content Safety | $0.2116 | $0.2116 |
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LLaMA-2-32K (7B) FAQ
How much does LLaMA-2-32K (7B) cost?
LLaMA-2-32K (7B) is priced at input $0.21 / 1M, output $0.21 / 1M.
Does LLaMA-2-32K (7B) support streaming?
Yes, LLaMA-2-32K (7B) can stream responses as they are generated.
Does LLaMA-2-32K (7B) support tool calling and structured outputs?
Yes, LLaMA-2-32K (7B) supports both function calling and structured outputs.
Who created LLaMA-2-32K (7B)?
LLaMA-2-32K (7B) was built by Together.
Which API endpoint version does LLaMA-2-32K (7B) use?
It is served via the v1 endpoint from Together.