GLM-5.2 (max) vs Trinity Large Thinking
Which is better for the money: GLM-5.2 (max) by Z AI or Trinity Large Thinking by Arcee AI? Intelligence, total benchmark cost, and end-to-end time from Artificial Analysis & other sources, snapshot 2026-08-19.
Trade-off
Verdict
Depends on your budget
GLM-5.2 (max) scores 33.9 points higher (52.6 vs 18.7) but costs 3.3× as much to run the benchmark ($843 vs $255; premium vs mid-range cost classes). They are not alternatives at one budget: pick GLM-5.2 (max) when you need intelligence above 18.7, and Trinity Large Thinking when 18.7 is enough.
| Metric | GLM-5.2 (max) | Trinity Large Thinking | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 52.6 | 18.7 | −64.4% Trinity Large Thinking is 64.4% less intelligent |
| Total AA cost (lower is better) | $843.44 | $254.72 | −69.8% Trinity Large Thinking is 69.8% cheaper |
| End-to-end time (lower is better) | 23.83s | 14.08s | −40.9% Trinity Large Thinking is 40.9% faster |
| Price per 1M tokens (in / out) | $1.40 / $4.40 | $0.23 / $0.88 | |
| Input modalities | Not reported | Not reported |
Trinity Large Thinking vs GLM-5.2 (max): 64.4% less intelligence, 69.8% less cost to run the AA benchmark, and 40.9% faster end-to-end.
Today's Pareto frontier
Against the frontier
- GLM-5.2 (max) is off the frontier: at the same or lower cost, Muse Spark 1.2 (xhigh) scores 56.80 for $639.
- Trinity Large Thinking is off the frontier: at the same or lower cost, GPT-5.6 Luna (max) scores 52.30 for $172.
GLM-5.2 (max)Trinity Large ThinkingToday's Pareto frontierOpen-weights frontierEvery other model
Matchup
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