AI21 Labs
Enterprise NLP platform with Jamba 1.5 models using hybrid SSM-Transformer architecture for efficient long-context processing. Jamba 1.5 Large: 94B active parameters, 256k context, 65.4 Arena Hard score. Jamba 1.5 Mini: 12B active parameters, 256k context. Jamba Reasoning 3B for compact reasoning with up to 1M context. Pricing: Large ~$2/$8 per 1M input/output tokens, Mini ~$0.20/$0.40 per 1M tokens. Specialized APIs for summarization, paraphrase, and grammar correction. Supports 8 languages.
Overview
| Category | Ai |
| Compliance | SOC2, GDPR |
| Self-Hostable | No |
| On-Prem | No |
| Best For | growth, enterprise |
| Last Verified | 2026-02-13 |
Strengths & Weaknesses
Strengths:- reliability
- support
- performance
- Models not competitive with frontier labs on general benchmarks
- Smaller community and ecosystem
- Limited multimodal capabilities
When to Use
Best when:- Need efficient long-context processing (256k tokens)
- Enterprise NLP tasks like summarization and paraphrasing
- Want specialized task APIs alongside LLM access
- Need 2-5x efficiency gains via SSM-Transformer hybrid architecture
- Need frontier-level reasoning or coding
- Building consumer-facing chat applications
- Need multimodal capabilities