Arcee-ai
Trinity Mini is a 26B-parameter (3B active) sparse mixture-of-experts language model featuring 128 experts with 8 active per token. Engineered for efficient reasoning over long contexts (131k) with robust function...
This model is still tracked for research and discovery, but it is excluded from default public rankings until it returns to active status.
---
Quality Score
---
Arena ELO
26B
Parameters
131K
Context
Use this section to answer one simple question first: how much outside evidence do we have that this model performs well? Structured benchmark scores appear first, then official provider evidence, then live arena signal.
This model belongs to a benchmark-expected category, but stable public benchmark evidence has not been ingested yet.
A full normalized benchmark row is not available for this model yet.
This usually means public benchmark sources have not published stable data for this release yet.
Sign in to join the discussion
0
Downloads
0
Likes
Dec 2025
Released