Model card
Trinity Large Preview.
Arcee AILarge language model
Added from Papers with Code MMLU-Pro refresh on 2026-05-19.
§ 02 · Benchmarks
Every benchmark Trinity Large Preview has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | SimpleQA | Natural Language Processing · Question Answering | accuracy | 23.9% | #5 | — | source ↗ |
| 02 | AIME 2025 | Reasoning · Mathematical Reasoning | accuracy | 24.4% | #22 | — | source ↗ |
| 03 | MMLU | Reasoning · Commonsense Reasoning | accuracy | 87.2% | #32 | — | source ↗ |
| 04 | MMLU-Pro | Reasoning · Commonsense Reasoning | accuracy | 75.3% | #51 | 2026-02-19 | source ↗ |
| 05 | MMLU-Pro | Reasoning · Commonsense Reasoning | accuracy | 75.3% | #51 | — | source ↗ |
| 06 | GPQA Diamond | Reasoning · Multi-step Reasoning | accuracy | 63.3% | #56 | — | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Strengths by area
Where Trinity Large Preview actually performs.
§ 04 · Papers
1 paper with results for Trinity Large Preview.
- 2026-02-19· 5 results
Arcee Trinity Large Technical Report
§ 06 · Sources & freshness
Where these numbers come from.
pwc-dump
5
results
paperswithcode
1
result
0 of 6 rows marked verified.