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Jamba Large 1.7

Long-document grounded QA where you need a 256K window and citations-faithful answers on a budget; the hybrid SSM design keeps long-context cost far below dense frontier models.

Open weights · Community or custom license · Data checked September 6, 2026 · Not a hands-on evaluation

Model ID jamba-large-1.7

Parameters
398B total · 94B active398B total / 94B active
Architecture
Mixture of experts
Context window
262,144 tokensMaximum input
Max output
4,096 tokensPer response
Input price
$2.00 per 1M tokens
Output price
$8.00 per 1M tokens
Cached input
Not published
Blended price
$3.50 per 1M tokens3:1 input to output
Knowledge cutoff
2024-08-22
Released
2025-07-02
Status
gaFlagship in its lineup
Size band
120B and above

License and openness

Jamba Large 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 modalitiestext
Output modalitiestext

What it is for

At a three-to-one input-to-output ratio, Jamba Large 1.7 costs $3.50 per million tokens blended. A workload of one million input and 330,000 output tokens per day would run about $139.20 per month at list price, before caching or batch discounts.

Cost at list price

Input$2.00 per 1M tokens
Output$8.00 per 1M tokens
Cached inputNot published
Blended, 3:1$3.50 per 1M tokens
Estimate a workload across all models ↗

Sources

Sources checked September 6, 2026. Specifications and prices change without notice; confirm against the provider before you commit.

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