Qwen3.6 27B (Reasoning) vs Trinity Large Thinking
Which is better for the money: Qwen3.6 27B (Reasoning) by Alibaba 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
Qwen3.6 27B (Reasoning) scores 10.6 points higher (21.4 vs 10.8) but costs 4.9× as much to run the benchmark ($1145 vs $233; premium vs mid-range cost classes). They are not alternatives at one budget: pick Qwen3.6 27B (Reasoning) when you need intelligence above 10.8, and Trinity Large Thinking when 10.8 is enough.
| Metric | Qwen3.6 27B (Reasoning) | Trinity Large Thinking | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 21.4 | 10.8 | −49.5% Trinity Large Thinking is 49.5% less intelligent |
| Total AA cost (lower is better) | $1,145.36 | $232.95 | −79.7% Trinity Large Thinking is 79.7% cheaper |
| End-to-end time (lower is better) | 112.14s | 8.30s | −92.6% Trinity Large Thinking is 92.6% faster |
| Price per 1M tokens (in / out) | $0.60 / $3.60 | $0.25 / $0.80 | |
| Input modalities | Text, Image, Video | Text |
Trinity Large Thinking vs Qwen3.6 27B (Reasoning): 49.5% less intelligence, 79.7% less cost to run the AA benchmark, and 92.6% faster end-to-end.
Today's Pareto frontier
Against the frontier
- Qwen3.6 27B (Reasoning) is off the frontier: at the same or lower cost, GPT-6.1 Sol (Max) scores 51.80 for $1082.
- Trinity Large Thinking is off the frontier: at the same or lower cost, MiMo-V2.6-Pro scores 46.30 for $207.
Qwen3.6 27B (Reasoning)Trinity Large ThinkingToday's Pareto frontierOpen-weights frontierEvery other model
Matchup
Compare something else
Agents:
Accept: text/markdown or ?format=md returns this page as Markdown. JSON: /api/v1/compare/qwen3-6-27b/trinity-large-thinking · Markdown: /api/v1/compare/qwen3-6-27b/trinity-large-thinking?format=md · llms.txt · agent skill