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Head-to-head comparison

Jamba Large 1.7 vs MiniMax M1 80k

Jamba Large 1.7 (AI21 Labs) and MiniMax M1 80k (MiniMaxAI) 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 18 August 2026

As of 18 August 2026, MiniMax M1 80k holds the stronger ModelCap Index position (#114 vs #115); MiniMax M1 80k offers the longer context window (1M vs 256K tokens); and MiniMax M1 80k ships open weights.

Which should you choose?

Choose Jamba Large 1.7 if…

  • you want provider choice — 1 listed API providers against 0.
  • you want the more recently listed model — Jamba Large 1.7 was listed 8 August 2025, MiniMax M1 80k 13 June 2025.

Choose MiniMax M1 80k if…

  • you want the stronger overall ModelCap Index position — #114 against #115 (22.0 vs 21.4 points).
  • you need the longer context window — 1M tokens against 256K.
  • you want to self-host: MiniMax M1 80k ships open weights while Jamba Large 1.7 is gated access.

Jamba Large 1.7 vs MiniMax M1 80k: specs, pricing and context

Specification comparison of Jamba Large 1.7 and MiniMax M1 80k
FieldJamba Large 1.7AI21 LabsMiniMax M1 80kMiniMaxAI
ModelCap Index position#115#114
Index score21.422.0
EvidenceEstimatedMeasured
Input price / 1M tokens$2.00Unlisted
Output price / 1M tokens$8.00Unlisted
Context window256K tokens1M tokens
Max output tokens4K
API providers listed10
Weight accessGated accessOpen weights
Input modalitiesTextText
First listed8 August 202513 June 2025
PublisherAI21 LabsMiniMaxAI

Evidence: global corpus prior · leave-one-anchor-out calibrated · 1 public benchmark observation across 1 board. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Jamba Large 1.7 vs MiniMax M1 80k

Public benchmark boards where Jamba Large 1.7 or MiniMax M1 80k has a published result
BoardJamba Large 1.7MiniMax M1 80kLeads
Artificial Analysis Intelligence IndexArtificial Analysis17.9intelligence-indexOnly one result

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 MiniMax M1 80k: common questions

Is Jamba Large 1.7 better than MiniMax M1 80k?

MiniMax M1 80k ranks higher on the ModelCap Index as of 18 August 2026: #114 against #115. 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 MiniMax M1 80k?

At least one of the two has no listed API price on ModelCap right now, so no price comparison is made.

Which has the bigger context window, Jamba Large 1.7 or MiniMax M1 80k?

MiniMax M1 80k has the larger context window: 1M tokens against 256K.

Which is better for coding, Jamba Large 1.7 or MiniMax M1 80k?

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 MiniMax M1 80k open-weight models?

Jamba Large 1.7: Gated access. MiniMax M1 80k: Open weights. 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 MiniMax M1 80k?

ModelCap currently lists 1 API provider for Jamba Large 1.7 and 0 for MiniMax M1 80k, 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 MiniMax M1 80k comparison?

Every figure comes from the sealed ModelCap dataset published 18 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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