Arcee AI Trinity Mini
Advanced sparse MoE model for efficient inference on Together AI.
Performance benchmarks
Model | AIME 2025 | GPQA Diamond | HLE | LiveCodeBench | MATH500 | SWE-bench verified |
|---|---|---|---|---|---|---|
Arcee AI Trinity Mini | 58.6% | 92.1% | Related open-source models | Competitor closed-source models | ||
 Claude Opus 4.6 | 90.5% | 34.2% | 78.7% | |||
 OpenAI o3 | 83.3% | 24.9% | 99.2% | 62.3% | ||
OpenAI o1 | 76.8% | 96.4% | 48.9% | |||
GPT-4o | 49.2% | 2.7% | 32.3% | 89.3% | 31.0% |
This model is not available on Together’s Serverless API.
Deploy this model on an on-demand Dedicated Endpoint or pick a supported alternative from the Model Library.
Related models
- Model providerArcee AI
- TypeChat
- Main use casesChatSmall & Fast
- Parameters26B
- Activated parameters3B
- Context length32.7K
- External link
- CategoryChat