Trinity-Mini model card (Hugging Face) Dec 1, 2025
- SimpleQA 8.9
- MUSR 63.5
- MMLU (Zero Shot) 85
- Math-500 92.1
- GPQA-Diamond 58.5
- BFCL V3 59.7
Trinity Mini
Trinity Mini.
6
Benchmarks with a score
0
Ranked first, out of five or more models
0
In the top three
Arcee AI Dec 2025 Trinity Mini
Open weights Small
126.2
#307 of 404
Self-Reported Index, from the lab's own numbers. No Epoch Capabilities Index score yet.
- MMLU 85% #56 /131
- Berkeley Function Calling Leaderboard (BFCL) 59.7% #36 /41
- MATH-500 92.1% #49 /70
Where it ranks
Its best score on each benchmark, and where that ranks among every model with a score there. We rank each model once, at its best setting.
Knowledge and language
Math and science
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| MATH-500 | 92.1% | #49 of 70 | Lab model card | |
| GPQA Diamond | 58.5% | #224 of 302 | Lab model card |
Agents and tools
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| Berkeley Function Calling Leaderboard (BFCL) | 59.7% | #36 of 41 | Lab model card |
Its lab's numbers put it at 126.2, number 307 of 404
The Self-Reported Index fits one score to the 5 capability results Arcee AI reported for this model, on the scale of the Epoch Capabilities Index. Labs choose which benchmarks to show and how to run them, so read it as the lab's claim, not an independent measurement. The 90% interval runs from 122.4 to 130.1. How we compute it.
- MATH-500 92.1
- MMLU 85
- Berkeley Function Calling Leaderboard (BFCL) 59.7
- GPQA Diamond 58.5
- SimpleQA 8.9
Its launch post
The benchmarks the lab chose to headline, with the scores it gave.