Other notable labs · General language
Jamba Mini 1.7
High-volume RAG and summarisation over long inputs; one of the cheapest 256K-context commercial endpoints available.
Open weights · Community or custom license · Data checked September 6, 2026 · Not a hands-on evaluation
Model ID jamba-mini-1.7
- Parameters
- 52B total · 12B active52B total / 12B active
- Architecture
- Mixture of experts
- Context window
- 256,000 tokensMaximum input
- Max output
- 4,096 tokensPer response
- Input price
- $0.20 per 1M tokens
- Output price
- $0.40 per 1M tokens
- Cached input
- Not published
- Blended price
- $0.25 per 1M tokens3:1 input to output
- Knowledge cutoff
- 2024-08-22
- Released
- 2025-07-02
- Status
- retired
- Size band
- 40B to 120B
License and openness
Jamba Mini 1.7 is released under the Jamba Open Model License. This is a community or custom license with its own conditions, which can include acceptable-use rules, user thresholds or naming requirements. Read it before commercial use. License terms can change between versions; confirm the text published with the weights you download.
Capabilities
| Input modalities | text |
|---|---|
| Output modalities | text |
What it is for
At a three-to-one input-to-output ratio, Jamba Mini 1.7 costs $0.25 per million tokens blended. A workload of one million input and 330,000 output tokens per day would run about $9.96 per month at list price, before caching or batch discounts.
Cost at list price
| Input | $0.20 per 1M tokens |
|---|---|
| Output | $0.40 per 1M tokens |
| Cached input | Not published |
| Blended, 3:1 | $0.25 per 1M tokens |
Sources
- Source: Other notable labs pricing ↗
- API docs ↗
- Full reference record for Jamba Mini 1.7 ↗
- Other notable labs in the reference ↗
Sources checked September 6, 2026. Specifications and prices change without notice; confirm against the provider before you commit.
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