Model Library
AI21 LabsReleased July 7, 2025Jamba 1.7 Mini
AI21 Labs · Released July 7, 2025
Intelligence score
3
At a glance
- Intelligence
- 3
- Speed
- —
- Latency
- —
- Input price
- Not published
- Output price
- Not published
- Context window
- 260Ktokens
- Parameters
- 52billions
Summary
Comparison summary
Jamba 1.7 Mini scores 3 (estimated) on the Artificial Analysis Intelligence Index, placing it at the lower end among other open weight non-reasoning models of similar size (median: 7).
Specifications
Technical specifications
| Model name | Jamba 1.7 Mini |
|---|---|
| Provider | AI21 Labs |
| Release date | July 7, 2025 |
| Intelligence score | 3 |
| Speed | — |
| Latency (TTFT) | — |
| Input price | Not published |
| Output price | Not published |
| Context window | 260,000 tokens |
| Parameters | 52B |
| Reasoning | No |
| Input modalities | text |
| Output modalities | — |
| Open weights | Yes |
| License | Jamba Open Model License Agreement |
| API availability | — |
| Source | Model Intelligence legacy profile: jamba-1-7-mini |
FAQ · 17
Frequently asked questions
Jamba 1.7 Mini was released on July 7, 2025.
Jamba 1.7 Mini was created by AI21 Labs.
Jamba 1.7 Mini scores 3 (estimated) on the Artificial Analysis Intelligence Index, placing it at the lower end among other open weight non-reasoning models of similar size (median: 7).
No, Jamba 1.7 Mini is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
Jamba 1.7 Mini supports text input.
Jamba 1.7 Mini supports text output.
No, Jamba 1.7 Mini does not support image input. It can only process text.
No, Jamba 1.7 Mini is not multimodal. It only supports text input.
Jamba 1.7 Mini has a context window of 260k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, Jamba 1.7 Mini is open weights. The model weights are publicly available and can be downloaded for self-hosting.
Jamba 1.7 Mini has 52 billion parameters (12 billion active).
Jamba 1.7 Mini is a Mixture of Experts (MoE) model with 52 billion total parameters, but only 12 billion active parameters are used during inference.
Jamba 1.7 Mini is released under the Jamba Open Model License Agreement license. This license allows commercial use.
Jamba 1.7 Mini achieves a score of 3 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Jamba 1.7 Mini has a knowledge cutoff of August 2024. The model's training data includes information up to this date.
Jamba 1.7 Mini is an open weights model that can be self-hosted.
Jamba 1.7 Mini is an open weights model that can be downloaded and self-hosted.