Model registry / AI21 Labs / Jamba / Jamba Mini
Jamba Mini
AI21's efficient, lightweight hybrid SSM-Transformer model for a wide range of tasks
Line
Jamba
Weights
Open
Released
2026-01-01
Context
256K
Input
$0.20 / 1M
Output
$0.40 / 1M
Max output
4K
Coverage
not covered yet
Overview
Jamba Mini is AI21 Labs' efficient, lightweight hybrid SSM-Transformer model for a wide range of tasks. It is part of the Jamba line, following Jamba Large, and is positioned as a smaller, more cost-effective option. Jamba Mini has a context window of 256,000 tokens and a maximum output of 4,096 tokens. It accepts and returns text only. It supports tool calling but not reasoning mode. The weights are open. Pricing starts at $0.20 per million input tokens and $0.40 per million output tokens. The knowledge cutoff is August 22, 2024.
Specs
Pricing
Against Jamba Large: input $2.00 to $0.20, output $8.00 to $0.40.
Strengths
- 256k token context window
- 4,096 token max output
- Tool calling supported
- Open weights
- Priced from $0.20/M input
Best for
- Reach for it for processing long documents
- Reach for it for tool-calling workflows
- Reach for it for text-only generation tasks
- Reach for it for cost-sensitive deployments
How to access
1 host serve this model at the price above · the maker's documentation
Jamba: every version
The registry keeps the six most recent versions of a line. Older ones stay in the file and can be surfaced without a rebuild.
FAQ
- What is the context window of Jamba Mini?
- Jamba Mini has a context window of 256,000 tokens, allowing it to handle very long inputs in a single pass.
- Does Jamba Mini support tool calling?
- Yes, Jamba Mini supports tool calling, which lets it interact with external functions or APIs. It does not support reasoning mode.
- What is the price for Jamba Mini?
- Pricing starts at $0.20 per million input tokens and $0.40 per million output tokens. The weights are open, so you can also self-host.