Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.50 |
| Output tokens | $0.70 |
Capabilities
About Jamba-Instruct
Jamba-Instruct, developed by AI21 Labs, is a cutting-edge large language model tailored for enterprise applications. It boasts a remarkable 256,000-token context window, enabling it to process vast amounts of data, equivalent to an 800-page novel, making it ideal for tasks like summarization, question answering, and document analysis. Utilizing a hybrid architecture that blends Structured State Space (SSM) technology with traditional Transformer layers, Jamba-Instruct is designed for optimal performance and efficiency in managing long-context scenarios. Instruction-tuned to handle complex commands and engage in open-ended dialogues, it prioritizes high safety standards, making it suitable for diverse applications such as chatbots, financial analysis, and legal document summaries while maintaining cost-effectiveness and low latency 2512.