Model comparison
Trinity Mini vs Virtuoso Large
Compare Trinity Mini and Virtuoso Large: input/output $/Mtoken, context window, modalities, and license. OpenRouter-synced pricing.
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
Arcee Ai
Virtuoso Large
Virtuoso‑Large is Arcee's top‑tier general‑purpose LLM at 72 B parameters, tuned to tackle cross‑domain reasoning, creative writing and enterprise QA. Unlike many 70 B peers, it re
| Metric | Trinity Mini | Virtuoso Large |
|---|---|---|
| Provider | Arcee Ai | Arcee Ai |
| Context window | 131,072 | 131,072 |
| Input $/Mtok | $0.045 | $0.750 |
| Output $/Mtok | $0.150 | $1.20 |
| Modalities | text | text |
| License | open-weights | closed |
Quick take
On input price, Trinity Mini is cheaper at $0.045/Mtok. For context window, Trinity Mini leads with 131,072 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.