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AI21 Labs

Jamba Mini 1.7

Overall 71Open weightopen-weight

AI21's efficient Jamba Mini models with 256K context for cost-sensitive long-context deployments.

Last verified: 2026-03-29Confidence: MediumSources: 3
textreasoningopen-source
Input price
Not applicable
Output price
Not applicable
Context window
256,000
Max output
32,768
Release date
2024-12-12
Access
open-weight, self-hosted, hosted
License
Jamba Open Model License
Last verified
2026-03-29

Capability profile

Radar view of the model's practical strengths. This chart is backed by textual summaries below for crawlability.

Benchmark summary

This entry has source-backed metadata, but benchmark coverage is still sparse, so the page emphasizes published specs and deployment fit.

No benchmark series is attached to this model yet. Source links and product metadata are available below.

Strengths

  • • Source-backed listing for long-context open model buyers
  • • Useful when deeper benchmark profiling is still incomplete

Trade-offs

  • • Detailed benchmark coverage is still limited for this entry
  • • Some pricing or capability fields may remain unpublished

Crawlable benchmark analysis

Jamba Mini 1.7 is positioned as a long-context open model with published scores that emphasize its practical fit for buyers evaluating the entry.

Published scores highlight reasoning 70/100, coding 65/100, enterprise readiness 70/100, vision 55/100, speed 80/100, and safety 72/100.

Pricing is not applicable for this self-hosted or open-weight entry. With a context window of 256,000 tokens, it supports large-document analysis and retrieval workflows.

Benchmark coverage is still limited for this entry, so this section focuses on published metadata and deployment fit.

Sources

Provider and distribution links used to verify this model record.

Last verified: 2026-03-29

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