Ring-2.6-1T vs Trinity Large Thinking
Which is better for the money: Ring-2.6-1T by InclusionAI or Trinity Large Thinking by Arcee AI? Intelligence, total benchmark cost, and end-to-end time from Artificial Analysis & other sources, snapshot 2026-10-24.
Trade-off
Verdict
Depends on your budget
Ring-2.6-1T scores 5.8 points higher (16.6 vs 10.8) but costs 2.5× as much to run the benchmark ($576 vs $233; premium vs mid-range cost classes). Pick Ring-2.6-1T when the extra intelligence is worth the premium, otherwise Trinity Large Thinking.
| Metric | Ring-2.6-1T | Trinity Large Thinking | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 16.6 | 10.8 | −34.9% Trinity Large Thinking is 34.9% less intelligent |
| Total AA cost (lower is better) | $575.60 | $232.95 | −59.5% Trinity Large Thinking is 59.5% cheaper |
| End-to-end time (lower is better) | 24.45s | 8.30s | −66.1% Trinity Large Thinking is 66.1% faster |
| Price per 1M tokens (in / out) | $0.30 / $2.50 | $0.25 / $0.80 | |
| Input modalities | Text | Text |
Trinity Large Thinking vs Ring-2.6-1T: 34.9% less intelligence, 59.5% less cost to run the AA benchmark, and 66.1% faster end-to-end.
Today's Pareto frontier
Against the frontier
- Ring-2.6-1T is off the frontier: at the same or lower cost, GPT-6.1 Sol (High) scores 50.20 for $521.
- Trinity Large Thinking is off the frontier: at the same or lower cost, MiMo-V2.6-Pro scores 46.30 for $207.
Ring-2.6-1TTrinity Large ThinkingToday's Pareto frontierOpen-weights frontierEvery other model
Matchup
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Accept: text/markdown or ?format=md returns this page as Markdown. JSON: /api/v1/compare/ring-2-6-1t/trinity-large-thinking · Markdown: /api/v1/compare/ring-2-6-1t/trinity-large-thinking?format=md · llms.txt · agent skill