Jamba-Instruct
About
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.
Capabilities
Providers(2)
| Provider | Input (per 1M) | Output (per 1M) | Type | |
|---|---|---|---|---|
| AI21 Studio | — | — | Serverless | |
| Azure OpenAI | $0.5 | $0.7 | Serverless |