LLM Reference
Microsoft Foundry

Using Jamba-Instruct on Microsoft Foundry

Implementation guide · Jamba · AI21 Labs

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Microsoft Foundry exposes Jamba-Instruct through model ID jamba-instruct. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-05-16. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at Microsoft Foundry and generate an API key.
  2. 2
    Use the Microsoft Foundry SDK or REST API to call jamba-instruct — see the documentation for request format.
  3. 3
    You'll be billed $0.50/1M input, $0.70/1M output tokens. See full pricing.

Code Examples

See Microsoft Foundry documentation for integration details.

Pricing on Microsoft Foundry

TypePrice (per 1M)
Input tokens$0.50
Output tokens$0.70

Capabilities

No model capability flags are currently sourced.

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.

Model Specs

Released2024-05-02
Parameters52B (12B active)
Context256k
ArchitectureMixture of Experts
Knowledge cutoff2024-03

Provider

Microsoft Foundry
Microsoft Foundry

Microsoft

Redmond, Washington, United States