Jamba 1.5 Mini (SSM)
Jamba 1.5 Mini (SSM) is AI21 Labs's entry in a crowded field. Context window: 0.256K tokens.
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
Best For
About Jamba 1.5 Mini (SSM)
Jamba 1.5 Mini SSM, developed by AI21 Labs, is a variant of the Jamba 1.5 Mini model with 52 billion total parameters (12 billion active) and a 256K token context window. The model emphasizes the state-space model components of AI21 Labs' hybrid architecture, optimizing for throughput on long-context workloads. It processes lengthy documents, transcripts, and data files efficiently with linear-time complexity rather than the quadratic scaling of standard Transformer attention. Priced at $0.20 per million input tokens and $0.40 per million output tokens. As an open-source model, it supports self-hosted deployment for organizations requiring maximum control over their inference infrastructure. The SSM-focused design makes it particularly efficient for batch processing of long documents where throughput optimization provides measurable cost savings.
Pricing per 1M tokens
Input Tokens
/bin/zsh.20
Output Tokens
/bin/zsh.40
Compare Jamba 1.5 Mini (SSM)
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