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Head-to-head comparison

Trinity Large Thinking vs Muse Glimmer 30B

Trinity Large Thinking (Arcee AI) and Muse Glimmer 30B (Meta) 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 3 September 2026

As of 3 September 2026, Trinity Large Thinking holds the stronger ModelCap Index position (#78 vs #182); Trinity Large Thinking is 1.4× cheaper per output token ($0.80/1M vs $1.10/1M); Trinity Large Thinking offers the longer context window (262K vs 131K tokens); and Muse Glimmer 30B ships open weights.

Which should you choose?

Choose Trinity Large Thinking if…

  • you want the stronger overall ModelCap Index position — #78 against #182 (36.4 vs 16.1 points).
  • API cost matters — $0.80/1M output tokens against $1.10/1M, about 1.4× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.25/1M against $0.30/1M.
  • you need the longer context window — 262K tokens against 131K.

Choose Muse Glimmer 30B if…

  • you want to self-host: Muse Glimmer 30B ships open weights while Trinity Large Thinking is restricted license.
  • you want provider choice — 4 listed API providers against 1.
  • you want the more recently listed model — Muse Glimmer 30B was listed 9 August 2026, Trinity Large Thinking 1 April 2026.

Trinity Large Thinking vs Muse Glimmer 30B: specs, pricing and context

Specification comparison of Trinity Large Thinking and Muse Glimmer 30B
FieldTrinity Large ThinkingArcee AIMuse Glimmer 30BMeta
ModelCap Index position#78#182
Index score36.416.1
EvidenceMeasuredMeasured
Input price / 1M tokens$0.25$0.30
Output price / 1M tokens$0.80$1.10
Context window262K tokens131K tokens
Max output tokens80K118K
API providers listed14
Weight accessRestricted licenseOpen weights
Input modalitiesTextText, Image
First listed1 April 20269 August 2026
PublisherArcee AIMeta

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 Muse Glimmer 30B

Public benchmark boards where Trinity Large Thinking or Muse Glimmer 30B has a published result
BoardTrinity Large ThinkingMuse Glimmer 30BLeads
Arena codingArena (LMArena)14141407–1422—Only one result
AA Intelligence IndexArtificial Analysis18.7intelligence-index—Only one result
AA Terminal-Bench 2.1Artificial Analysis20.6%terminal-bench-2.1—Only one result
AA τ²-Bench TelecomArtificial Analysis90.1%tau2-bench-telecom—Only one result
AA Humanity's Last ExamArtificial Analysis15.8%humanitys-last-exam—Only one result
WildClawBench OpenClawWildClawBench—47.6Only 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 Muse Glimmer 30B: common questions

Is Trinity Large Thinking better than Muse Glimmer 30B?

Trinity Large Thinking ranks higher on the ModelCap Index as of 3 September 2026: #78 against #182. 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 Muse Glimmer 30B?

Trinity Large Thinking is cheaper on output tokens: $0.80/1M against $1.10/1M. Input tokens are $0.25/1M for Trinity Large Thinking and $0.30/1M for Muse Glimmer 30B. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens.

Which has the bigger context window, Trinity Large Thinking or Muse Glimmer 30B?

Trinity Large Thinking has the larger context window: 262K tokens against 131K.

Which is better for coding, Trinity Large Thinking or Muse Glimmer 30B?

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 Muse Glimmer 30B open-weight models?

Trinity Large Thinking: Restricted license. Muse Glimmer 30B: 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 Muse Glimmer 30B?

ModelCap currently lists 1 API provider for Trinity Large Thinking and 4 for Muse Glimmer 30B, 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 Muse Glimmer 30B comparison?

Every figure comes from the sealed ModelCap dataset published 3 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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