Arcee AI
Trinity-Large-Thinking is a reasoning-optimized variant of Arcee AI's Trinity-Large family — a 398B-parameter sparse Mixture-of-Experts (MoE) model with approximately 13B active parameters per token. Built on Trinity-Large-Base and post-trained with extended chain-of-thought reasoning and agentic RL, Trinity-Large-Thinking delivers state-of-the-art performance on agentic benchmarks while maintaining strong general capabilities.
Arcee AI model updatesRank #134 across 526
Rank #150 across 436
Rank #120 across 357
Percentile score by analysis domain.
* Cost is inverted: lower input, output, and blended prices rank higher.
Higher bars mean stronger relative placement.
| Metric | Domain | Value | Rank |
|---|---|---|---|
| Artificial Analysis Intelligence Index | overall | 31.9 | #134 |
| Artificial Analysis Coding Index | coding | 27.2 | #150 |
| GPQA | reasoning | 75.2% | #172 |
| Humanity's Last Exam | reasoning | 14.7% | #113 |
| SciCode |
| coding, reasoning |
| 36.1% |
| #189 |
| Output Speed | speed | 162.3 tok/s | #59 |
| Time to First Token | speed | 0.73s | #92 |
| Blended Price | cost | $0.395/M | #120 |
| Input Price | cost | $0.235/M | #121 |
| Output Price | cost | $0.875/M | #127 |
| Value Index | cost, overall | 80.8 | #81 |