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Head-to-head comparison

Ling-2.6-1T vs Hy-MT2-1.8B

Ling-2.6-1T (InclusionAI) and Hy-MT2-1.8B (Tencent) 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 20 August 2026

As of 20 August 2026, Hy-MT2-1.8B holds the stronger ModelCap Index position (#76 vs #79); Hy-MT2-1.8B is 3.5× cheaper per output token ($0.177/1M vs $0.625/1M); Ling-2.6-1T offers the longer context window (262K vs 8K tokens); and Hy-MT2-1.8B ships open weights.

Which should you choose?

Choose Ling-2.6-1T if…

  • you need the longer context window — 262K tokens against 8K.

Choose Hy-MT2-1.8B if…

  • you want the stronger overall ModelCap Index position — #76 against #79 (36.9 vs 36.0 points).
  • API cost matters — $0.177/1M output tokens against $0.625/1M, about 3.5× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.044/1M against $0.075/1M.
  • you want to self-host: Hy-MT2-1.8B ships open weights while Ling-2.6-1T is api only.
  • you want the more recently listed model — Hy-MT2-1.8B was listed 20 August 2026, Ling-2.6-1T 23 April 2026.

Ling-2.6-1T vs Hy-MT2-1.8B: specs, pricing and context

Specification comparison of Ling-2.6-1T and Hy-MT2-1.8B
FieldLing-2.6-1TInclusionAIHy-MT2-1.8BTencent
ModelCap Index position#79#76
Index score36.036.9
EvidenceMeasuredEstimated
Input price / 1M tokens$0.075$0.044
Output price / 1M tokens$0.625$0.177
Context window262K tokens8K tokens
Max output tokens33K4K
API providers listed11
Weight accessAPI onlyOpen weights
Input modalitiesTextText
First listed23 April 202620 August 2026
PublisherInclusionAITencent

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 Hy-MT2-1.8B

Public benchmark boards where Ling-2.6-1T or Hy-MT2-1.8B has a published result
BoardLing-2.6-1THy-MT2-1.8BLeads
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 Hy-MT2-1.8B: common questions

Is Ling-2.6-1T better than Hy-MT2-1.8B?

Hy-MT2-1.8B ranks higher on the ModelCap Index as of 20 August 2026: #76 against #79. 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 Hy-MT2-1.8B?

Hy-MT2-1.8B is cheaper on output tokens: $0.177/1M against $0.625/1M. Input tokens are $0.075/1M for Ling-2.6-1T and $0.044/1M for Hy-MT2-1.8B. 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 Hy-MT2-1.8B?

Ling-2.6-1T has the larger context window: 262K tokens against 8K.

Which is better for coding, Ling-2.6-1T or Hy-MT2-1.8B?

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 Hy-MT2-1.8B open-weight models?

Ling-2.6-1T: API only. Hy-MT2-1.8B: 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 Ling-2.6-1T and Hy-MT2-1.8B?

ModelCap currently lists 1 API provider for Ling-2.6-1T and 1 for Hy-MT2-1.8B, 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 Hy-MT2-1.8B comparison?

Every figure comes from the sealed ModelCap dataset published 20 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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