Context
256K
Input
/bin/zsh.20
Key Specifications
🏆
Arena Rank
Not disclosed
📐
Context Window
256K
📥
Input Price
per 1M tokens
/bin/zsh.20
📤
Output Price
per 1M tokens
/bin/zsh.40
🧠
Parameters
52B (12B active)
🔓
Open Source
Yes
Best For
Efficient long-context processingthroughput
About Jamba 1.5 Mini (SSM)
Jamba is AI21 Labs' pioneering hybrid architecture that combines Mamba state-space model layers with transformer attention layers. This novel approach achieves 3x throughput improvement over pure transformer models of equivalent quality. The Jamba architecture represents a significant step toward more efficient AI models that can process long contexts without the quadratic cost of full attention.
Built byAI21 Labs↗
Pricing per 1M tokens
Input Tokens
/bin/zsh.20
Output Tokens
/bin/zsh.40
Compare Jamba 1.5 Mini (SSM)
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Frequently Asked Questions
What is Jamba 1.5 Mini (SSM)?▾
Jamba is AI21 Labs' pioneering hybrid architecture that combines Mamba state-space model layers with transformer attention layers. This novel approach achieves 3x throughput improvement over pure transformer models of equivalent quality. The Jamba architecture represents a significant step toward more efficient AI models that can process long contexts without the quadratic cost of full attention.
How much does Jamba 1.5 Mini (SSM) cost?▾
Jamba 1.5 Mini (SSM) costs /bin/zsh.20 per 1 million input tokens and /bin/zsh.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 (SSM)'s context window?▾
Jamba 1.5 Mini (SSM) 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 (SSM) open source?▾
Yes, Jamba 1.5 Mini (SSM) 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 (SSM) best for?▾
Jamba 1.5 Mini (SSM) is best suited for: Efficient long-context processing, throughput. These use cases leverage the model's specific strengths in terms of capability, speed, and cost-effectiveness within AI21 Labs's model lineup.