Arcee AI models
Arcee AI publishes 4 models available on Zeplik. Pricing, context windows and capabilities below come straight from the live registry Zeplik routes and bills against.
All 4 Arcee AI models
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. Launch video: https://youtu.be/Gc82AXLa0Rg?si=4RLn6WBz33qT--B7...
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 contexts (131k) with robust function...
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 retains the 128 k...
Coder‑Large is a 32 B‑parameter offspring of Qwen 2.5‑Instruct that has been further trained on permissively‑licensed GitHub, CodeSearchNet and synthetic bug‑fix corpora. It supports a 32k context window, enabling multi‑file...
Pricing at a glance
| Model | Context | Input cr/M | Output cr/M | Released |
|---|---|---|---|---|
| Trinity Large Thinking | 262K | 2.8 | 8.8 | April 2026 |
| Trinity Mini | 131K | 0.50 | 1.7 | December 2025 |
| Virtuoso Large | 131K | 8.3 | 13.2 | May 2025 |
| Coder Large | 33K | 5.5 | 8.8 | May 2025 |