Knowledge benchmark
MMLU-Pro (Arcee) leaderboard
MMLU-Pro first-party comparison snapshot. Every model the catalog carries a published MMLU-Pro (Arcee) value for, ranked by that value.
CategoryKnowledge
Measure10-way multiple choice
TasksProfessional academic QA
DifficultyProfessional level
A display-only MMLU-Pro reference from Arcee AI's Trinity-Large-Thinking launch chart.
MMLU-Pro (Arcee) ranking
6 models with a published MMLU-Pro (Arcee) value, ordered by that value, highest first. Models the source has not scored on this benchmark are not listed — they are unmeasured, not last.
| Rank | Model | Provider | 10-way multiple choice |
|---|---|---|---|
| 1 |  Claude Opus 4.6 | Anthropic | 89.1 |
| 2 |  Kimi K2.5 | Moonshot AI | 87.1 |
| 3 |  GLM-5 | Z.AI | 85.8 |
| 4 |  Trinity-Large-Thinking | Arcee AI | 83.4 |
| 5 |  MiniMax M2.7 | MiniMax | 80.8 |
| 6 | Trinity-Large-Preview | Arcee AI | 75.2 |
Evidence key: Observed
Rows are ordered by the value Trinity-Large-Thinking: Scaling an Open Source Frontier Agent published, highest first. The source does not state whether a higher value is the better result, so this page does not either: for a benchmark that measures a rate of failure, read the table from the bottom.