Model comparison
Trinity Large Thinking vs Trinity Mini
Compare Trinity Large Thinking and Trinity Mini: input/output $/Mtoken, context window, modalities, and license. OpenRouter-synced pricing.
Arcee Ai
Trinity Large Thinking
Trinity Large Thinking is a powerful open source reasoning model from the team at Arcee AI. It shows strong performance in PinchBench, agentic workloads, and reasoning tasks. Launc
Arcee Ai
Trinity Mini
Trinity Mini is a 26B-parameter (3B active) sparse mixture-of-experts language model featuring 128 experts with 8 active per token. Engineered for efficient reasoning over long con
| Metric | Trinity Large Thinking | Trinity Mini |
|---|---|---|
| Provider | Arcee Ai | Arcee Ai |
| Context window | 262,144 | 131,072 |
| Input $/Mtok | $0.250 | $0.045 |
| Output $/Mtok | $0.800 | $0.150 |
| Modalities | text | text |
| License | open-weights | open-weights |
Quick take
On input price, Trinity Mini is cheaper at $0.045/Mtok. For context window, Trinity Large Thinking leads with 262,144 tokens.
Pick based on your workload: high-volume cheap inference vs long-document / agent loops. Enterprise DNA can wire either model into Omni with evals, secrets, and job orchestration.