Trinity Large Thinking
Arcee AI · 2026-04-01 · 398.6B parameters
Trinity Large Thinking is Arcee AI's reasoning-optimized 398B-total / approximately 13B-active sparse mixture-of-experts model, built on Trinity Large Base and post-trained with extended chain-of-thought instruction tuning and agentic reinforcement learning. Its base model was pretrained from scratch on 17 trillion tokens and then context-extended at a 256K training length for documented 512K-token inference. The checkpoint emits explicit reasoning traces for long-horizon agentic workflows and multi-turn tool use.