Introducing the Jamba Family of Open Models.
Built on the novel Mamba-Transformer architecture, these highly efficient and powerful models push the boundaries of AI. They deliver unmatched speed and quality and feature the longest context window (256K tokens) among open models.
Our most powerful and advanced model, designed to handle complex tasks at enterprise scale with superior performance.
The most efficient model in its size class, optimized for speed and quality with a smaller footprint.
Retain total control over your data, with zero data visibility for the model vendor by deploying Jamba privately in your VPC or on-premises. Ideal for organizations or use cases handling regulated data (e.g., in finance or healthcare) or confidential proprietary data. With comparable quality to market-leading models, you get superior quality with total data privacy.
With the weights available to be downloaded into your environment, Jamba can be customized to your domain and use case. This is a model that’s fully yours.
With a 256K context window, Jamba excels on the kinds of use cases enterprises rely on in their workflows, from analyzing lengthy documents to enhancing RAG workflows at the retrieval stage. And due to its efficiency-optimized hybrid architecture, it can do all this at a lower cost than competitors.
Jamba models are ideal for enterprises that need to maintain full control over data and performance. Deployment options include:
Jamba models officially support 9 languages:
Model | Model Size | Max Tokens | Version | Snapshot | API Endpoint |
---|---|---|---|---|---|
Jamba Large | 398B parameters (94B active) | 256K | 1.7 | 2025-07 | jamba-large |
Jamba Mini | 52B parameters (12B active) | 256K | 1.7 | 2025-07 | jamba-mini |
Engineers and data scientists at AI21 labs created the model to help developers and businesses leverage AI to build real-world products with tangible value. Jamba Mini and Jamba Large support zero-shot instruction-following and multi-language support. The Jamba models also provide developers with industry-leading APIs that perform a wide range of productivity tasks designed for commercial use.
We advise using dated versions of the Jamba API to avoid disruptions from model updates and breaking changes. Also, please note that some endpoints will be deprecated soon.
Here are the details of the available versions:
jamba-large
currently points to jamba-large-1.7-2025-07
jamba-mini
currently points to jamba-mini-1.7-2025-07
jamba-large-1.7
points to jamba-large-1.7-2025-07
jamba-mini-1.7
points to jamba-mini-1.7-2025-07
Model | Snapshot | API Endpoint | Deprecation Date |
---|---|---|---|
Jamba Large 1.6 | 2025-03 | jamba-large-1.6-2025-03 | 2025-03-08 |
Jamba Mini 1.6 | 2025-03 | jamba-mini-1.6-2025-03 | 2025-03-08 |
Jamba Large 1.5 | 2024-08 | jamba-large-1.5-2024-08 | 2025-05-06 |
Jamba Mini 1.5 | 2024-08 | jamba-mini-1.5-2024-08 | 2025-05-06 |
AI21 Labs is on a mission to supercharge human productivity with machines working alongside humans as thought partners, thereby promoting human welfare and prosperity. To deliver its promise, this technology must be deployed and used in a responsible and sustainable way, taking into consideration potential risks, including malicious use by bad actors, accidental misuse, and broader societal harms. We take these risks extremely seriously and put measures in place to mitigate them.
AI21 provides open access to Jamba that can be used to power a large variety of useful applications. We believe it is important to ensure that this technology is used in a responsible way, while allowing developers the freedom they need to experiment rapidly and deploy solutions at scale. Overall, we view the safe implementation of this technology as a partnership and collaboration between AI21 and our customers and encourage engagement and dialogue to raise the bar on responsible usage.
In order to use Jamba, you are required to comply with our Terms of Service and with the following Usage Guidelines.
Please check these usage guidelines periodically, as they may be updated from time to time. For any questions, clarifications or concerns, please contact safety@ai21.com.
There are a number of limitations inherent to neural networks technology that apply to Jamba. These limitations require explanation and carry important caveats for the application and usage of Jamba.
Ready to take your projects to the next level?
Access Jamba via the AI21 Studio API or deploy privately.
See our Quick Start Guide for integration steps, SDKs, and sample code.
Introducing the Jamba Family of Open Models.
Built on the novel Mamba-Transformer architecture, these highly efficient and powerful models push the boundaries of AI. They deliver unmatched speed and quality and feature the longest context window (256K tokens) among open models.
Our most powerful and advanced model, designed to handle complex tasks at enterprise scale with superior performance.
The most efficient model in its size class, optimized for speed and quality with a smaller footprint.
Retain total control over your data, with zero data visibility for the model vendor by deploying Jamba privately in your VPC or on-premises. Ideal for organizations or use cases handling regulated data (e.g., in finance or healthcare) or confidential proprietary data. With comparable quality to market-leading models, you get superior quality with total data privacy.
With the weights available to be downloaded into your environment, Jamba can be customized to your domain and use case. This is a model that’s fully yours.
With a 256K context window, Jamba excels on the kinds of use cases enterprises rely on in their workflows, from analyzing lengthy documents to enhancing RAG workflows at the retrieval stage. And due to its efficiency-optimized hybrid architecture, it can do all this at a lower cost than competitors.
Jamba models are ideal for enterprises that need to maintain full control over data and performance. Deployment options include:
Jamba models officially support 9 languages:
Model | Model Size | Max Tokens | Version | Snapshot | API Endpoint |
---|---|---|---|---|---|
Jamba Large | 398B parameters (94B active) | 256K | 1.7 | 2025-07 | jamba-large |
Jamba Mini | 52B parameters (12B active) | 256K | 1.7 | 2025-07 | jamba-mini |
Engineers and data scientists at AI21 labs created the model to help developers and businesses leverage AI to build real-world products with tangible value. Jamba Mini and Jamba Large support zero-shot instruction-following and multi-language support. The Jamba models also provide developers with industry-leading APIs that perform a wide range of productivity tasks designed for commercial use.
We advise using dated versions of the Jamba API to avoid disruptions from model updates and breaking changes. Also, please note that some endpoints will be deprecated soon.
Here are the details of the available versions:
jamba-large
currently points to jamba-large-1.7-2025-07
jamba-mini
currently points to jamba-mini-1.7-2025-07
jamba-large-1.7
points to jamba-large-1.7-2025-07
jamba-mini-1.7
points to jamba-mini-1.7-2025-07
Model | Snapshot | API Endpoint | Deprecation Date |
---|---|---|---|
Jamba Large 1.6 | 2025-03 | jamba-large-1.6-2025-03 | 2025-03-08 |
Jamba Mini 1.6 | 2025-03 | jamba-mini-1.6-2025-03 | 2025-03-08 |
Jamba Large 1.5 | 2024-08 | jamba-large-1.5-2024-08 | 2025-05-06 |
Jamba Mini 1.5 | 2024-08 | jamba-mini-1.5-2024-08 | 2025-05-06 |
AI21 Labs is on a mission to supercharge human productivity with machines working alongside humans as thought partners, thereby promoting human welfare and prosperity. To deliver its promise, this technology must be deployed and used in a responsible and sustainable way, taking into consideration potential risks, including malicious use by bad actors, accidental misuse, and broader societal harms. We take these risks extremely seriously and put measures in place to mitigate them.
AI21 provides open access to Jamba that can be used to power a large variety of useful applications. We believe it is important to ensure that this technology is used in a responsible way, while allowing developers the freedom they need to experiment rapidly and deploy solutions at scale. Overall, we view the safe implementation of this technology as a partnership and collaboration between AI21 and our customers and encourage engagement and dialogue to raise the bar on responsible usage.
In order to use Jamba, you are required to comply with our Terms of Service and with the following Usage Guidelines.
Please check these usage guidelines periodically, as they may be updated from time to time. For any questions, clarifications or concerns, please contact safety@ai21.com.
There are a number of limitations inherent to neural networks technology that apply to Jamba. These limitations require explanation and carry important caveats for the application and usage of Jamba.
Ready to take your projects to the next level?
Access Jamba via the AI21 Studio API or deploy privately.
See our Quick Start Guide for integration steps, SDKs, and sample code.