Trinity Large Thinking

Trinity Large Thinking is Arcee AI's open-weight sparse MoE reasoning model (398B parameters, ~13B active per token) designed for agentic workloads, multi-step tool use, and long-horizon planning. It uses explicit chain-of-thought reasoning traces and agentic RL post-training to produce structured thinking before final outputs. Source: supabase.