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Head-to-head comparison

Trinity Large Thinking vs Ling 3.0 tiny

Trinity Large Thinking (Arcee AI) and Ling 3.0 tiny (InclusionAI) 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 September 2026

As of 17 September 2026, Ling 3.0 tiny holds the stronger ModelCap Index position (#111 vs #113); and Ling 3.0 tiny ships open weights.

Which should you choose?

Choose Trinity Large Thinking if…

  • you want provider choice — 1 listed API providers against 0.
  • AA Humanity's Last Exam is your yardstick — 15.8% against 9.3%.

Choose Ling 3.0 tiny if…

  • you want the stronger overall ModelCap Index position — #111 against #113 (41.7 vs 41.3 points).
  • you want to self-host: Ling 3.0 tiny ships open weights while Trinity Large Thinking is restricted license.
  • AA Intelligence Index is your yardstick — 11.9 against 10.9.
  • you want the more recently listed model — Ling 3.0 tiny was listed 10 August 2026, Trinity Large Thinking 1 April 2026.

Trinity Large Thinking vs Ling 3.0 tiny: specs, pricing and context

Specification comparison of Trinity Large Thinking and Ling 3.0 tiny
FieldTrinity Large ThinkingArcee AILing 3.0 tinyInclusionAI
ModelCap Index position#113#111
Index score41.341.7
EvidenceMeasuredMeasured
Input price / 1M tokens$0.25Unlisted
Output price / 1M tokens$0.80Unlisted
Context window262K tokens— tokens
Max output tokens80K—
API providers listed10
Weight accessRestricted licenseOpen weights
Input modalitiesTextText
First listed1 April 202610 August 2026
PublisherArcee AIInclusionAI

Evidence: 3 public benchmark observations across 3 boards · 1 public benchmark observation across 1 board. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Trinity Large Thinking vs Ling 3.0 tiny

Public benchmark boards where Trinity Large Thinking or Ling 3.0 tiny has a published result
BoardTrinity Large ThinkingLing 3.0 tinyLeads
Arena codingArena (LMArena)14141407–1422—Only one result
AA Intelligence IndexArtificial Analysis10.9intelligence-index:v4.3:reasoning-unspecified11.9intelligence-index:v4.3:reasoning-unspecifiedLing 3.0 tiny
AA τ²-Bench TelecomArtificial Analysis90.1%tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="Trinity Large Thinking":reasoning=true—Only one result
AA Humanity's Last ExamArtificial Analysis15.8%hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="Trinity Large Thinking":reasoning=true9.3%hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="Ling 3.0 Tiny":reasoning=trueTrinity Large Thinking

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.

Trinity Large Thinking vs Ling 3.0 tiny: common questions

Is Trinity Large Thinking better than Ling 3.0 tiny?

Ling 3.0 tiny ranks higher on the ModelCap Index as of 17 September 2026: #111 against #113. 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. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.

Is Trinity Large Thinking cheaper than Ling 3.0 tiny?

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, Trinity Large Thinking or Ling 3.0 tiny?

Both publish a 262K-token context window.

Which is better for coding, Trinity Large Thinking or Ling 3.0 tiny?

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 Trinity Large Thinking and Ling 3.0 tiny open-weight models?

Trinity Large Thinking: Restricted license. Ling 3.0 tiny: 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 Trinity Large Thinking and Ling 3.0 tiny?

ModelCap currently lists 1 API provider for Trinity Large Thinking and 0 for Ling 3.0 tiny, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this Trinity Large Thinking vs Ling 3.0 tiny comparison?

Every figure comes from the sealed ModelCap dataset published 17 September 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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