Trinity Mini
Unavailable in this round
arcee-ai
Trinity Mini combines 26 billion total parameters with about 3 billion active, a 128K context, and reasoning post-training. Arcee trained the medium variant on roughly 10 trillion tokens with math and coding data. The weights use OpenMDW-1.1, with Transformers and vLLM documented as serving runtimes.
These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.
One SVG prompt and fixed output settings. Captures are shown only with 0 reported reasoning tokens or documented lack of reasoning controls. Identical test conditions do not make the models' internal compute identical.
Unavailable in this round
29.7 / 100
| Type | Evidence and data date |
|---|---|
| Input | Documented modalities. Retrieved September 26, 2026. |
| Output | Documented modalities. Retrieved September 26, 2026. |
| Research status | Research date October 15, 2026. 2 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication. |
| Not published | evaluation-details Note The chart does not identify all prompting, sampling, dates or score units. These values remain publisher-reported only. |
| Additional source | Hugging Face · Arcee AI Trinity Mini model card · Editorial description reviewed October 2, 2026 |
| Additional source | Arcee Trinity Mini official model-card benchmark chart (retrieved October 15, 2026) |
| Additional source | Model metadata (retrieved October 15, 2026) |
| Additional source | OpenRouter: Popularity index (derived), CC BY 4.0 |
| Additional source | Vercel AI Gateway: Popularity index (derived), CC BY 4.0 |
| Additional source | Creative Commons Attribution 4.0 |