Trinity-Mini: benchmark results

Arcee AI's US-trained 26B sparse-MoE (3B active) reasoning and tool-use model, first release of its from-scratch AFMoE Trinity family (December 2025). Provider: Arcee AI. Released 2025-12-02. Access: Open.

Aggregate Rating 1505 ± 17, rank #769 of 1656 rated models, from 302 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
LatamBoard87.13LatamBoard Category Average (percentage)94.9
EuroEval French NLU - ScaLA FR59.35Matthews correlation coefficient (%)92.6
EuroEval Italian NLU - ScaLA IT47.66Matthews correlation coefficient (%)91.2
EuroEval English NLU - ScaLA EN60.57Matthews correlation coefficient (%)90.7
EuroEval Portuguese NLU - ScaLA PT42.68Matthews correlation coefficient (%)90.7
EuroEval Spanish NLU - ScaLA ES40.12Matthews correlation coefficient (%)89.8
EuroEval English NLU71.36NLU Average Score (%)86.4
EuroEval French NLU68.43NLU Average Score (%)85.3
EuroEval English Knowledge90.65Knowledge Average Score (%)83.9
EuroEval Danish NLU - Angry Tweets55.5Matthews correlation coefficient (%)82.5
EuroEval Romanian Knowledge68.52Knowledge Average Score (%)81.5
EuroEval Bosnian52.97Average Score (%)81

Interactive version: theaggregate.ai/model?slug=trinity-mini · How It Works · Data refreshed daily, snapshot 2026-10-20.