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Head-to-head comparison

Ling-2.6-1T vs MiniMax M2-her

Ling-2.6-1T (InclusionAI) and MiniMax M2-her (MiniMax) 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, Ling-2.6-1T holds the stronger ModelCap Index position (#73 vs #88); Ling-2.6-1T is 1.9× cheaper per output token ($0.625/1M vs $1.20/1M); and Ling-2.6-1T offers the longer context window (262K vs 66K tokens).

Which should you choose?

Choose Ling-2.6-1T if…

  • you want the stronger overall ModelCap Index position — #73 against #88 (36.0 vs 27.5 points).
  • API cost matters — $0.625/1M output tokens against $1.20/1M, about 1.9× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.075/1M against $0.30/1M.
  • you need the longer context window — 262K tokens against 66K.
  • you want the more recently listed model — Ling-2.6-1T was listed 23 April 2026, MiniMax M2-her 23 January 2026.

Choose MiniMax M2-her if…

  • ModelCap publishes no field on which MiniMax M2-her leads Ling-2.6-1T for this pair.

Ling-2.6-1T vs MiniMax M2-her: specs, pricing and context

Specification comparison of Ling-2.6-1T and MiniMax M2-her
FieldLing-2.6-1TInclusionAIMiniMax M2-herMiniMax
ModelCap Index position#73#88
Index score36.027.5
EvidenceMeasuredEstimated
Input price / 1M tokens$0.075$0.30
Output price / 1M tokens$0.625$1.20
Context window262K tokens66K tokens
Max output tokens33K2K
API providers listed11
Weight accessAPI onlyAPI only
Input modalitiesTextText
First listed23 April 202623 January 2026
PublisherInclusionAIMiniMax

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

Benchmark scores: Ling-2.6-1T vs MiniMax M2-her

Public benchmark boards where Ling-2.6-1T or MiniMax M2-her has a published result
BoardLing-2.6-1TMiniMax M2-herLeads
Artificial Analysis Intelligence IndexArtificial Analysis26.6intelligence-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.

Ling-2.6-1T vs MiniMax M2-her: common questions

Is Ling-2.6-1T better than MiniMax M2-her?

Ling-2.6-1T ranks higher on the ModelCap Index as of 18 August 2026: #73 against #88. 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 Ling-2.6-1T cheaper than MiniMax M2-her?

Ling-2.6-1T is cheaper on output tokens: $0.625/1M against $1.20/1M. Input tokens are $0.075/1M for Ling-2.6-1T and $0.30/1M for MiniMax M2-her. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens.

Which has the bigger context window, Ling-2.6-1T or MiniMax M2-her?

Ling-2.6-1T has the larger context window: 262K tokens against 66K.

Which is better for coding, Ling-2.6-1T or MiniMax M2-her?

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 Ling-2.6-1T and MiniMax M2-her open-weight models?

Ling-2.6-1T: API only. MiniMax M2-her: 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 Ling-2.6-1T and MiniMax M2-her?

ModelCap currently lists 1 API provider for Ling-2.6-1T and 1 for MiniMax M2-her, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this Ling-2.6-1T vs MiniMax M2-her 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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