Model comparison
Trinity Large Thinking vs GPT-5
Capability radar, value bars, and side-by-side posture.
Trinity Large Thinking
Not scored
value score
GPT-5
94
value score
Trinity Large Thinking ctx
—
GPT-5 ctx
400K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- GPT-594
Attribute tape
| Field | Trinity Large Thinking | GPT-5 |
|---|---|---|
| Developer | Arcee AI | OpenAI |
| Context | — | 400K |
| Modalities | Text, Code, Image, Audio | |
| Openness | — | Proprietary Model |
| Speed | — | Fast |
| Price | — | Mid-High |
| Value score | — | 94 |
| Summary | 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. | OpenAI frontier multimodal model. |