Model comparison
Trinity Large Thinking vs Claude 4 Opus
Capability radar, value bars, and side-by-side posture.
Trinity Large Thinking
Not scored
value score
Claude 4 Opus
95
value score
Trinity Large Thinking ctx
—
Claude 4 Opus ctx
200K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- Claude 4 Opus95
Attribute tape
| Field | Trinity Large Thinking | Claude 4 Opus |
|---|---|---|
| Developer | Arcee AI | Anthropic |
| Context | — | 200K |
| Modalities | Text, Code, Image | |
| Openness | — | Proprietary Model |
| Speed | — | — |
| Price | — | $15/1M in · $75/1M out |
| Value score | — | 95 |
| 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. | Anthropic frontier Opus-class model. |