Half of its total venture capital funded Arcee AI to train Trinity-Large-Thinking. This 400 billion parameter open reasoning model targets Claude Opus in agent-based tasks. The high cost reflects the steep price of training competitive large-scale models. Practitioners now have a heavy-duty open alternative for complex reasoning workflows.