Model comparison
Trinity Large Thinking vs o3
Capability radar, value bars, and side-by-side posture.
Trinity Large Thinking
Not scored
value score
o3
93
value score
Trinity Large Thinking ctx
—
o3 ctx
200K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- o393
Attribute tape
| Field | Trinity Large Thinking | o3 |
|---|---|---|
| Developer | Arcee AI | OpenAI |
| Context | — | 200K |
| Modalities | Text, Code | |
| Openness | — | Proprietary Model |
| Speed | — | — |
| Price | — | $10/1M in · $40/1M out |
| Value score | — | 93 |
| 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 reasoning model focused on hard problems. |