AI21 Labs Jamba 1.5 Large
AI21 Jamba 1.5 Large is a long-context, hybrid MoE chat model from AI21 Labs with a 256K token window and tool-use features.
What is AI21 Jamba 1.5 Large?
AI21 Jamba 1.5 Large is a long-context AI model from AI21 Labs built on a hybrid Mamba-Transformer Mixture-of-Experts architecture designed for efficient processing across long context lengths. Jamba 1.5 Large supports a 256K token context window and developer-ready features like structured JSON output, function calling, document digestion, and grounded generation with citations. It is available through major cloud AI catalogs, including Azure AI Models, Amazon Bedrock, and Google Vertex AI.
Technical Specifications
256K tokens
Not disclosed
Not disclosed
Active
Capabilities
Pros & Cons
Pros
- 256K context window for long-document workflows
- Hybrid MoE architecture optimized for long context
- Structured JSON output and function calling
- Broad availability across major cloud AI catalogs
Cons
- Text-only input/output
- Open model license terms apply
Features
256K Context Window
Handle long documents and multi-step workflows with a 256K token context window.
Hybrid MoE Architecture
Combines Mamba (SSM) and Transformer blocks for long-context efficiency and quality.
Developer-Ready Tooling
Supports structured JSON output and function calling for reliable tool use.
Grounded Outputs
Supports grounded generation with citations for verifiable outputs.
Use Cases
Long-Document Analysis
Summarize and synthesize large documents, reports, and research packs.
Structured Data Extraction
Extract entities and facts into strict JSON schemas for downstream systems.
Tool-Using Assistants
Build agent workflows with function calling and reliable tool execution.
RAG with Citations
Ground responses in documents and return citations for compliance workflows.
Multilingual Support
Serve global users across a broad set of supported languages.