Trinity Large Thinking is an open-source reasoning model from Arcee AI, built on a 398B-parameter sparse Mixture-of-Experts architecture that activates approximately 13B parameters per token. Post-trained with extended chain-of-thought reasoning and agentic reinforcement learning, it achieves state-of-the-art results on agentic benchmarks including τ²-Bench (94.7%) and PinchBench (91.9%). Released under the Apache 2.0 license, it offers frontier-level tool use and multi-turn conversation capabilities that can be run fully locally or via hosted API.
Trinity Large Thinking is an open-source reasoning model from Arcee AI, built on a 398B-parameter sparse Mixture-of-Experts architecture that activates approximately 13B parameters per token. Post-trained with extended chain-of-thought reasoning and agentic reinforcement learning, it achieves state-of-the-art results on agentic benchmarks including τ²-Bench (94.7%) and PinchBench (91.9%). Released under the Apache 2.0 license, it offers frontier-level tool use and multi-turn conversation capabilities that can be run fully locally or via hosted API.