Model record
Trinity Large Thinking model overview
Trinity Large Thinking is a open weights model from Arcee AI. It was released on April 1, 2026. Its strongest case is 512k context, while buyers should account for input price unavailable.
Trinity Large Thinking benchmark snapshot
| Evaluation | Reported score | What it probes |
|---|---|---|
| MMLU-Pro | Not reported | Broad knowledge and multi-step reasoning |
| GPQA Diamond | Not reported | Graduate-level science reasoning |
| SWE-bench Verified | Not reported | Verified real-repository issue resolution |
| LiveCodeBench | Not reported | Contamination-aware competitive programming |
| SWE-Bench Pro | Not reported | Longer, harder professional software tasks |
| Artificial Analysis Intelligence Index | Not reported | Composite third-party capability index; version matters |
Scores are percentages reported by model creators or benchmark maintainers under varying settings. A blank is preferable to an inferred result. See our methodology.
Trinity Large Thinking strengths
- 512K context
- Open weights
- Tool use
Trinity Large Thinking limitations
- Input price unavailable
- License changed after launch
Editorial take: Benchmark rank should narrow a shortlist, not close a purchase. Run a private evaluation with representative prompts, failure cases, latency targets, and total token costs.
Source record
Specifications and scores are linked to the best source located during review. Provider-reported results are not presented as third-party lab reproductions.
Source limitation: Official model card: https://huggingface.co/arcee-ai/Trinity-Large-Thinking. License update: https://arcee.ai/blog/trinity-is-moving-to-openmdw-1-1
Read Arcee Trinity Large Thinking announcement ↗