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Head-to-head comparison

Jamba Large 1.7 vs Aion-3.0-Mini

Jamba Large 1.7 (AI21 Labs) and Aion-3.0-Mini (Aion Labs) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.

Snapshot as of 17 August 2026

As of 17 August 2026, Jamba Large 1.7 holds the stronger ModelCap Index position (#110 vs #111); Aion-3.0-Mini is 5.7× cheaper per output token ($1.40/1M vs $8.00/1M); and Jamba Large 1.7 offers the longer context window (256K vs 131K tokens).

Which should you choose?

Choose Jamba Large 1.7 if…

  • you want the stronger overall ModelCap Index position — #110 against #111 (22.5 vs 22.5 points).
  • you need the longer context window — 256K tokens against 131K.

Choose Aion-3.0-Mini if…

  • API cost matters — $1.40/1M output tokens against $8.00/1M, about 5.7× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.70/1M against $2.00/1M.
  • you want the more recently listed model — Aion-3.0-Mini was listed 7 July 2026, Jamba Large 1.7 8 August 2025.

Jamba Large 1.7 vs Aion-3.0-Mini: specs, pricing and context

Specification comparison of Jamba Large 1.7 and Aion-3.0-Mini
FieldJamba Large 1.7AI21 LabsAion-3.0-MiniAion Labs
ModelCap Index position#110#111
Index score22.522.5
EvidenceEstimatedEstimated
Input price / 1M tokens$2.00$0.70
Output price / 1M tokens$8.00$1.40
Context window256K tokens131K tokens
Max output tokens4K33K
API providers listed11
Weight accessGated accessAPI only
Input modalitiesTextText
First listed8 August 20257 July 2026
PublisherAI21 LabsAion Labs

Evidence: global corpus prior · leave-one-anchor-out calibrated · global corpus prior · leave-one-anchor-out calibrated. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Jamba Large 1.7 vs Aion-3.0-Mini

Neither model has a published result on a public benchmark board ModelCap tracks yet.

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

Jamba Large 1.7 vs Aion-3.0-Mini: common questions

Is Jamba Large 1.7 better than Aion-3.0-Mini?

Jamba Large 1.7 ranks higher on the ModelCap Index as of 17 August 2026: #110 against #111. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it.

Is Jamba Large 1.7 cheaper than Aion-3.0-Mini?

Aion-3.0-Mini is cheaper on output tokens: $1.40/1M against $8.00/1M. Input tokens are $2.00/1M for Jamba Large 1.7 and $0.70/1M for Aion-3.0-Mini. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens.

Which has the bigger context window, Jamba Large 1.7 or Aion-3.0-Mini?

Jamba Large 1.7 has the larger context window: 256K tokens against 131K.

Which is better for coding, Jamba Large 1.7 or Aion-3.0-Mini?

The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.

Are Jamba Large 1.7 and Aion-3.0-Mini open-weight models?

Jamba Large 1.7: Gated access. Aion-3.0-Mini: API only. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.

Where can I run Jamba Large 1.7 and Aion-3.0-Mini?

ModelCap currently lists 1 API provider for Jamba Large 1.7 and 1 for Aion-3.0-Mini, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this Jamba Large 1.7 vs Aion-3.0-Mini comparison?

Every figure comes from the sealed ModelCap dataset published 17 August 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.

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