Jamba
by AI21 Labs · www.ai21.com ↗
Open model family from AI21 Labs that combines Transformer and state-space (Mamba) architectures.
open-weights language-model mamba
- Category
- Open Models
- Business model
- Open (open weights/source)
- Availability
- Global
- Launched
- 2024-03
- Record updated
- 2026-07-30
- Model family
- Jamba
- License
- Jamba Open Model License
- Founded
- 2017
- Headquarters
- IL
- Canonical URL
- https://globalaiproductindex.com/products/jamba/
Overview
Jamba is an open model family from AI21 Labs that combines Transformer attention with Mamba state-space layers, enabling very long context windows with efficient inference. Releases include Jamba 1.5 Mini and Large and later revisions, with a 256K-token context. Weights are open under the Jamba Open Model License, and hosted access is sold through AI21's platform and cloud partners.
Key features
- Hybrid Transformer-Mamba architecture
- 256K-token context window
- Open weights for Mini and Large variants
- Hosted API via AI21 Studio and cloud partners
Use cases
- Long-document analysis and summarization
- Enterprise RAG over large corpora
- Research on hybrid state-space architectures
Pricing
Jamba weights are downloadable under the Jamba Open Model License; managed access through AI21 Studio and cloud marketplaces is billed per token.
Frequently asked questions
What is Jamba?
Jamba is AI21's open model family mixing Transformer and Mamba layers for efficient long-context language modeling.
How long is Jamba's context window?
Jamba models support a 256K-token context window.
Are Jamba models open?
Yes, weights are released under the Jamba Open Model License, with commercial hosted options from AI21.
Similar products
- Baichuan — Open-weight bilingual LLM family from Beijing-based Baichuan Intelligence, now focused on medical AI with its Baichuan-M reasoning models.
- Command R — Cohere's open-weight LLM family optimized for retrieval-augmented generation and tool use; succeeded by Command A as Cohere's flagship.
- DBRX — Open-weight mixture-of-experts LLM released by Databricks in 2024; retired from Databricks serving in 2025, though the weights remain available.
- DeepSeek — Open-weight LLM family and chat assistant from Hangzhou-based DeepSeek, known for strong reasoning models. The official DeepSeek-V4-Flash-0731 API brings a major agent-capability upgrade via post-training, with native Responses API support and Codex adaptation.
- Falcon — Family of open-weight large language models developed by the Technology Innovation Institute (TII).
- Gemma — Google's family of lightweight open-weight models derived from the same research as Gemini.
Sources
This record was last reviewed on 2026-07-30.
Machine-readable record: /api/products/jamba.json · Spot an error? Suggest a correction