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Head-to-head comparison

Trinity Large Thinking vs Hy Embodied VLM 1.0

Trinity Large Thinking (Arcee AI) and Hy Embodied VLM 1.0 (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 17 August 2026

As of 17 August 2026, Trinity Large Thinking holds the stronger ModelCap Index position (#70 vs #73); and Hy Embodied VLM 1.0 ships open weights.

Which should you choose?

Choose Trinity Large Thinking if…

  • you want the stronger overall ModelCap Index position — #70 against #73 (36.9 vs 36.7 points).
  • you want provider choice — 2 listed API providers against 0.

Choose Hy Embodied VLM 1.0 if…

  • you want to self-host: Hy Embodied VLM 1.0 ships open weights while Trinity Large Thinking is restricted license.
  • you want the more recently listed model — Hy Embodied VLM 1.0 was listed 14 July 2026, Trinity Large Thinking 1 April 2026.

Trinity Large Thinking vs Hy Embodied VLM 1.0: specs, pricing and context

Specification comparison of Trinity Large Thinking and Hy Embodied VLM 1.0
FieldTrinity Large ThinkingArcee AIHy Embodied VLM 1.0Tencent
ModelCap Index position#70#73
Index score36.936.7
EvidenceMeasuredEstimated
Input price / 1M tokens$0.22Unlisted
Output price / 1M tokens$0.85Unlisted
Context window262K tokens— tokens
Max output tokens262K
API providers listed20
Weight accessRestricted licenseOpen weights
Input modalitiesTextText, Image
First listed1 April 202614 July 2026
PublisherArcee AITencent

Evidence: 3 public benchmark observations across 3 boards · 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: Trinity Large Thinking vs Hy Embodied VLM 1.0

Public benchmark boards where Trinity Large Thinking or Hy Embodied VLM 1.0 has a published result
BoardTrinity Large ThinkingHy Embodied VLM 1.0Leads
Arena codingArena (LMArena)14141407–1422Only one result
Artificial Analysis Intelligence IndexArtificial Analysis18.7intelligence-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.

Trinity Large Thinking vs Hy Embodied VLM 1.0: common questions

Is Trinity Large Thinking better than Hy Embodied VLM 1.0?

Trinity Large Thinking ranks higher on the ModelCap Index as of 17 August 2026: #70 against #73. 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 Trinity Large Thinking cheaper than Hy Embodied VLM 1.0?

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 Hy Embodied VLM 1.0?

Both publish a 262K-token context window.

Which is better for coding, Trinity Large Thinking or Hy Embodied VLM 1.0?

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 Hy Embodied VLM 1.0 open-weight models?

Trinity Large Thinking: Restricted license. Hy Embodied VLM 1.0: 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 Hy Embodied VLM 1.0?

ModelCap currently lists 2 API providers for Trinity Large Thinking and 0 for Hy Embodied VLM 1.0, 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 Hy Embodied VLM 1.0 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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