Context
256K
Input
$0.20
Key Specifications
🏆
Arena Rank
Not disclosed
📐
Context Window
256K
📥
Input Price
per 1M tokens
$0.20
📤
Output Price
per 1M tokens
$0.40
🧠
Parameters
52B (12B active)
🔓
Open Source
Yes
Best For
Cost-effective long-contextsummarization
About 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.
Built byAI21 Labs↗
Pricing per 1M tokens
Input Tokens
$0.20
Output Tokens
$0.40
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Frequently Asked Questions
What is 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.
How much does Jamba 1.5 Mini cost?▾
Jamba 1.5 Mini costs $0.20 per 1 million input tokens and $0.40 per 1 million output tokens. Pricing is based on token usage, making it cost-effective for both small and large-scale applications.
What is Jamba 1.5 Mini's context window?▾
Jamba 1.5 Mini has a context window of 256K tokens. This determines how much text the model can process in a single request — larger context windows allow the model to handle longer documents, maintain more conversation history, and reason over bigger codebases.
Is Jamba 1.5 Mini open source?▾
Yes, Jamba 1.5 Mini is open source. This means the model weights are publicly available, allowing developers and organizations to download, fine-tune, and self-host the model on their own infrastructure. Open-source models offer greater flexibility and data privacy control.
What is Jamba 1.5 Mini best for?▾
Jamba 1.5 Mini is best suited for: Cost-effective long-context, summarization. These use cases leverage the model's specific strengths in terms of capability, speed, and cost-effectiveness within AI21 Labs's model lineup.