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# AI21 Introduces the Jamba Model Family: The most powerful and efficient long-context models for the enterprise
- URL: https://www.ai-360.online/ai21-labs-ai21-introduces-the-jamba-model-family-the-most-powerful-and-efficient-long-context-models-for-the-enterprise/
- Published: 2024-08-22T12:00:00.000Z
- Updated: 2026-10-25T21:52:49.000Z
- Description: TEL AVIV, Israel , Aug. 22, 2024 — AI21 , a leader in building foundation models and AI systems for the enterprise, today announced the release of two…
- Author: Nicholas Lipinski
- Tags: news, #company-ai21-labs, 1. Enterprise AI

TEL AVIV, Israel , Aug. 22, 2024 — AI21 , a leader in building foundation models and AI systems for the enterprise, today announced the release of two powerful new openly available models: Jamba 1.5 Mini and Jamba 1.5 Large , [the company said on 22 August 2024](https://www.prnewswire.com/news-releases/ai21-introduces-the-jamba-model-family-the-most-powerful-and-efficient-long-context-models-for-the-enterprise-302228192.html?ref=ai-360.online).

AI21 Labs: AI21 Introduces the Jamba Model Family: The most powerful and efficient long-context models for the enterprise, the company said on 22 August 2024\. TEL AVIV, Israel , Aug. 22, 2024 — AI21 , a leader in building foundation models and AI systems for the enterprise, today announced the release of two powerful new openly available models: Jamba 1.5 Mini and Jamba 1.5 Large . Thanks to their groundbreaking architecture, both Jamba models stand out as the fastest and most efficient in their respective size classes, even surpassing models like Llama 8B and 70B .

Or Dagan, VP of Product, Foundation Models at AI21 said “We believe the future of AI lies in models that truly utilize extensive context windows, especially for complex, data-heavy tasks. Jamba 1.5 Mini and 1.5 Large offer the longest context windows on the market, pushing the boundaries of what's possible with LLM-based applications,.” Jim Rowan , principal and Head of AI, Deloitte Consulting LLP said “AI21's ability to deploy their models in private environments and offer hyper-customized training solutions is becoming increasingly important to our enterprise clients,.”

For enterprise buyers, the useful next step is to map the claim to controls, data residency and measurable outcomes—and to ask for evidence on failure modes, oversight and auditability before treating the release as production-ready fact.

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