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LLM AI21 Labs Israel

AI21 Jamba

AI21 Jamba2 - innovative Mamba-Transformer hybrid architecture with 256k context. GDPR-compliant via AWS. AI consulting from Germany for AI21 integration.

License Apache 2.0 (Jamba2), Jamba Open Model License (Jamba 1.5)
GDPR Hosting Available
Context 256k Tokens
Modality Text → Text

Versions

Overview of available model variants

ModelReleaseEUStrengthsWeaknessesStatus
Jamba2 Mini Recommended
January 2026
52B parameters (12B active) 256k context window Apache 2.0
Current
Jamba2 3B
January 2026
Very efficient Apache 2.0
Smaller capacity
Current
Jamba 1.5 Large
2024
Open weights Self-hosting possible
Current
Jamba 1.5 Mini
2024
Open weights Compact
Current

Use Cases

Typical applications for this model

Document Analysis (long texts)
Book Summaries
Codebase Analysis
Legal Document Review
Research & Science
Multilingual Applications
Enterprise Search

Technical Details

API, features and capabilities

API & Availability
Availability Public
Requests/Min 1000
Latency (TTFT) ~300ms
Throughput ~200 Tokens/Sec
Features & Capabilities
Tool Use Function Calling Structured Output File Upload
Training & Knowledge
Knowledge Cutoff 2024-03
Fine-Tuning Available (Fine-tuning API, LoRA (Open Models))
Language Support
Best Quality English, Spanish, French, Portuguese, Italian, German, Arabic, Hebrew
Supported 10+ languages
Strong in English, good in Western languages, native in Hebrew

Hosting & Compliance

GDPR-compliant hosting options and licensing

GDPR-Compliant Hosting Options
AWS
Frankfurt (eu-central-1)
Amazon Bedrock
Self-Hosted
Own Infrastructure
Jamba 1.5 Open Models
License & Hosting
License Apache 2.0 (Jamba2), Jamba Open Model License (Jamba 1.5)
Security Filters Customizable
Enterprise Support Yes
SLA Available Yes
On-Premise

As AI consultants based in Rosenheim, Germany, we recommend AI21 Jamba for enterprises that need to process extremely long documents. With a 256k token context window, you can analyze entire books at once.

Innovative Architecture

AI21 Labs is an Israeli AI company that developed a unique hybrid architecture with Jamba: the combination of Mamba (State Space Model) and Transformer.

Why Jamba for Enterprises?

  • 256k Context: One of the longest contexts on the market
  • Efficient: MoE architecture reduces resource requirements
  • Open Models: Jamba 1.5 under the Jamba Open Model License, Jamba2 under Apache 2.0
  • Multilingual: Strong support for many languages
  • EU-Available: Via AWS Bedrock Frankfurt

Key Strengths

Mamba-Transformer Hybrid

Jamba combines two architectures:

  • Mamba Layers: Efficient processing of long sequences
  • Transformer Layers: Precise attention for details
  • MoE: Mixture-of-Experts for efficiency

This combination enables:

  • 3x faster inference on long contexts
  • 2x less memory requirements
  • Linear instead of quadratic scaling

Extremely Long Context

256,000 tokens mean:

  • ~640 pages of text at once
  • Entire books to analyze
  • Complete codebases to understand
  • Comprehensive legal contracts to review

Open-Source Option

Jamba 1.5 is available as open source:

  • Jamba Open Model License
  • Self-hosting possible
  • Full control over data
  • Community-driven

Hardware Requirements (Self-Hosted)

ModelVRAMRecommended GPU
Jamba2 Mini48 GBA100 80GB
Jamba 1.5 Large160 GBMulti-A100
Jamba 1.5 Mini24 GBRTX 4090

Comparison to Other Models

FeatureJamba2GPT-4Claude 3
Context256k128k200k
ArchitectureHybridTransformerTransformer
Open SourceYes (1.5)NoNo
MoEYesNoNo

Integration with CompanyGPT

AI21 Jamba can be integrated in CompanyGPT - ideal for enterprises with extensive document collections.

Our Recommendation

AI21 Jamba2 Mini is our top recommendation for document analysis and long texts. If you regularly work with very long documents (legal contracts, book manuscripts, code reviews), Jamba is the best choice.

For general applications without a specific focus on long contexts, we recommend Google Gemini (up to 1M context) or OpenAI GPT.

Consultation for this model?

We help you select and integrate the right AI model for your use case.