Model profile
Evidence summary
Trinity Large has an estimated overall rank of #233; its 90% source-sensitivity interval is #34–#271. Its behavior-only rank is #236; company governance moves the combined estimate to #233. Published evidence spans 6 evals and 4 of 7 behavior components. Its strongest relative result is Arena Factuality — Text Arena (factuality-only weighting) (factuality_bt_rating, #27 of 112); its weakest is SM-Bench (ambiguous_interpretation, #77 of 79).
Compare this model
Only models sharing at least one published sub-eval are listed.
Official and reference links
- Artificial Analysis ↗trinity-large-thinking
- Hugging Face ↗arcee-ai/Trinity-Large-Preview
- OpenRouter ↗arcee-ai/trinity-large-preview
- Official model page ↗Exact model document · Reviewed official Hugging Face owner · official repository
- Release source ↗repository created at proxy
Published eval results
Rank is within that sub-eval. Black marks the observed result; the grey dot marks the value implied by the global rank. Values stay on each source’s native scale.
| Eval / sub-eval | Rank | Value | Distribution | Source |
|---|---|---|---|---|
| AA-Omnisciencehallucination_rate | #206 / 328 | ↓0.8589 | Source ↗official | |
| Arena Factuality — Text Arena (factuality-only weighting)factuality_bt_rating | #27 / 112 | ↑1451.0 | Source ↗official | |
| BullshitBench v2clear_pushback_rate | #74 / 106 | ↑0.15 | Source ↗official | |
| DystopiaBenchbasaglia_score | #46 / 50 | ↓71.4 | Source ↗official | |
| DystopiaBenchbaudrillard_score | #28 / 50 | ↓58.53 | Source ↗official | |
| DystopiaBenchhuxley_score | #46 / 50 | ↓80.8 | Source ↗official | |
| DystopiaBenchlaguardia_score | #47 / 50 | ↓73.17 | Source ↗official | |
| DystopiaBenchorwell_score | #44 / 50 | ↓75.1 | Source ↗official | |
| DystopiaBenchpetrov_score | #45 / 50 | ↓81.87 | Source ↗official | |
| SM-Benchadversarial | #72 / 79 | ↑73.42 | Source ↗official | |
| SM-Benchambiguous_interpretation | #77 / 79 | ↑62.05 | Source ↗official | |
| SM-Benchanti_hallucination | #66 / 79 | ↑80.89 | Source ↗official | |
| SM-Bencheq_boundaries | #33 / 79 | ↑66.86 | Source ↗official | |
| SM-Benchoverfit | #49 / 79 | ↑65.17 | Source ↗official | |
| Vectara HHEM Factual Consistencyfactual_consistency_rate | #26 / 94 | ↑93.1 | Source ↗official |
Values evaluations
Descriptive values and political-framing results are separate from safety/ethics ranks. Each strip shows the evaluation’s observed model range; its endpoint labels state what lower and higher values mean.