AI21 Labs Jamba 1.5 Mini
AI21 Jamba 1.5 Mini is a long-context hybrid MoE chat model from AI21 Labs with a 256K token window and fast long-document processing.
What is AI21 Jamba 1.5 Mini?
AI21 Jamba 1.5 Mini is a long-context model from AI21 Labs built on a hybrid SSM-Transformer Mixture-of-Experts architecture designed for efficiency at long context lengths. It supports a 256K token context window and developer-ready features like structured JSON output, function calling, document digestion, and grounded generation with citations. Jamba 1.5 Mini is optimized for low-latency processing of long prompts, making it a strong fit for document analysis and support workflows.
Technical Specifications
256K tokens
Not specified
Not specified
Active
Capabilities
Pros & Cons
Pros
- 256K context window for long-document workflows
- Efficient hybrid MoE architecture
- Structured JSON output and function calling
Cons
- Provider-specific limits and availability
- Some technical specs are not publicly disclosed
Features
256K Context Window
Handle long documents and multi-step workflows with a 256K token context window.
Hybrid MoE Architecture
Combines SSM (Mamba) and Transformer blocks for long-context efficiency.
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.
Customer Support
Power fast, accurate responses across long customer histories.
Structured Data Extraction
Extract entities and facts into strict JSON schemas for downstream systems.
RAG Workflows
Ground responses in documents with citations for compliance workflows.