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AI Model

Jamba-Instruct

Jamba-Instruct is AI21 Labs' latest foundation model, offering a 256K context window with excellent performance for text generation, summarization, and question answering, providing exceptional value for enterprise applications.

Context Window 256,000 tokens
TPM 300,000
RPM 100
Embedding Size N/A

Jamba-Instruct is the latest foundation model from AI21 Labs, designed to handle complex and demanding enterprise tasks with impressive efficiency. Featuring a substantial 256K context window, it excels in core functions such as text generation, summarization, and question answering. This model offers exceptional value, combining high performance with cost-effectiveness for enterprise-scale applications.

Jamba-Instruct is particularly well-suited for applications requiring in-depth analysis and generation of text. It is optimized for customer chatbots, internal agent assistance, and summarizing lengthy documents, making it a versatile tool for improving both customer interactions and internal processes. Its advanced capabilities ensure accurate and comprehensive outputs across a variety of enterprise needs.

Supported Use Cases:

  • Customer chatbot: Enhance interactions with responsive and intelligent chatbot systems
  • Internal agent assist: Provide support for internal agents with detailed, accurate information
  • Lengthy document summarization: Efficiently condense extensive documents into concise summaries

Jamba-Instruct represents the forefront of foundation model technology, designed to deliver high-quality results and support advanced text processing tasks in enterprise settings.

CogniTech AI Credits

Below you will find all supported platforms and the related CogniTech AI Credits costs.

AWS Bedrock Credits

Details Input Credits Output Credits Fine-Tuning
Details Input Credits Output Credits Fine-Tuning
Version: All
Region: us-east-1
Context: 256,000
TPM: 300,000
RPM: 100
Chat: 0.065 / 1000 tokens
Chat: 0.091 / 1000 tokens
NA
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