Jamba 1.5 MinivsJamba 1.5 Large
AI21 Labs vs AI21 Labs — Side-by-side model comparison
Head-to-Head Comparison
| Metric | Jamba 1.5 Mini | Jamba 1.5 Large |
|---|---|---|
| Provider | ||
| Arena Rank | — | — |
| Context Window | 256K | 256K |
| Input Pricing | $0.20/1M tokens | $2.00/1M tokens |
| Output Pricing | $0.40/1M tokens | $8.00/1M tokens |
| Parameters | 52B (12B active) | 398B (94B active) |
| Open Source | Yes | Yes |
| Best For | Cost-effective long-context, summarization | Long documents, enterprise RAG, analysis |
| Release Date | Aug 22, 2024 | Aug 22, 2024 |
Jamba 1.5 Mini
Jamba 1.5 Mini is AI21 Labs' efficient model sharing the same hybrid SSM-Transformer architecture as its larger sibling. At 52 billion total parameters with only 12 billion active, it delivers strong performance on long-context tasks while being highly cost-effective. The 256K context window combined with low inference costs makes it particularly attractive for applications processing large volumes of documents.
View AI21 Labs profile →Jamba 1.5 Large
Jamba 1.5 Large is AI21 Labs' flagship model based on their novel hybrid SSM-Transformer architecture that combines the efficiency of state-space models with the capabilities of transformers. With a 256K context window and 398 billion total parameters, it processes extremely long documents efficiently while delivering strong performance on reasoning and generation tasks. The unique architecture offers better throughput than pure transformer models at equivalent quality.
View AI21 Labs profile →Key Differences: Jamba 1.5 Mini vs Jamba 1.5 Large
Jamba 1.5 Mini is 16.7x cheaper on average, making it the better choice for high-volume applications.
Jamba 1.5 Mini has 52B (12B active) parameters vs Jamba 1.5 Large's 398B (94B active), which affects inference speed and capability.
When to use Jamba 1.5 Mini
- +Budget is a concern and you need cost efficiency
- +Your use case involves cost-effective long-context, summarization
When to use Jamba 1.5 Large
- +Quality matters more than cost
- +Your use case involves long documents, enterprise rag, analysis
Cost Analysis
At current pricing, Jamba 1.5 Mini is 16.7x more affordable than Jamba 1.5 Large. For a typical enterprise workload processing 100M tokens per month:
Jamba 1.5 Mini monthly cost
$30
100M tokens/mo (50/50 in/out)
Jamba 1.5 Large monthly cost
$500
100M tokens/mo (50/50 in/out)
The Verdict
Jamba 1.5 Mini wins our head-to-head comparison with 2 out of 5 category wins. It's the stronger choice for cost-effective long-context, summarization, though Jamba 1.5 Large holds an edge in long documents, enterprise rag, analysis.
Last compared: March 2026 · Data sourced from public benchmarks and official pricing pages