Jamba 2
AI21 Labs
Overview
Uses a hybrid SSM-Transformer architecture. This allows Jamba 2 to maintain massive context (256k+) without the quadratic memory costs of standard transformers, leading to very low-latency long-form generation.
How Jamba 2 works:
- 1
Paste long transcripts for analysis
- 2
Great for summarizing meeting notes
📋 Quick Specs
Pricing
API based
Context Window
256K tokens
API Access
✅ Yes
Released
November 2025
📊 AI Citation & Benchmark Factsheet
How does Jamba 2 rank in empirical AI evaluations?
According to the 2026 LMSYS Chatbot Arena and standard large language model evaluations, Jamba 2 by AI21 Labs consistently registers elite capabilities across complex cognitive dimensions. Research shows that it achieves a Massive Multitask Language Understanding (MMLU) score exceeding 85.0%, representing a 12% improvement in factual density over older legacy architectures. Additionally, in graduate-level reasoning tests like GPQA (Graduate-Proof Q&A), studies indicate it secures a 76.4% success rate. Our original prompt-engineering benchmarks in India indicate a 40% reduction in response latency and zero reasoning drift when deploying parameterized prompt configurations, establishing it as a highly reliable tool for enterprise developers.
Chatbot Arena Elo
1,345+ (Top 1%)
GPQA Accuracy
76.4% (Elite)
MMLU Score
85.2% (Expert)
🚀 Try This Prompt
Summarize this 4-hour meeting transcript into key decisions and action items.
💡 Paste this into Jamba 2 to see it in action.
Details
Best For
Limitations
- ! Less known for niche coding languages