GPT-5.6 Luna (Low) vs Qwen3.7 Max
Which is better for the money: GPT-5.6 Luna (Low) by OpenAI or Qwen3.7 Max by Alibaba? Intelligence, total benchmark cost, and end-to-end time from Artificial Analysis & other sources, snapshot 2026-10-26.
Trade-off
Verdict
Depends on your budget
Qwen3.7 Max scores 8.5 points higher (29.5 vs 21.0) but costs 73× as much to run the benchmark ($1965 vs $27.0; premium vs budget cost classes). They are not alternatives at one budget: pick Qwen3.7 Max when you need intelligence above 21.0, and GPT-5.6 Luna (Low) when 21.0 is enough.
| Metric | GPT-5.6 Luna (Low) | Qwen3.7 Max | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 21.0 | 29.5 | +40.5% Qwen3.7 Max is 40.5% more intelligent |
| Total AA cost (lower is better) | $27.02 | $1,964.83 | +7171.8% Qwen3.7 Max is 73× more expensive |
| End-to-end time (lower is better) | 5.78s | 16.58s | +186.9% Qwen3.7 Max is 186.9% slower |
| Price per 1M tokens (in / out) | $0.20 / $1.20 | $2.50 / $7.50 | |
| Input modalities | Text, Image | Text |
Qwen3.7 Max vs GPT-5.6 Luna (Low): 40.5% more intelligence, 7171.8% more cost to run the AA benchmark, and 186.9% slower end-to-end.
Today's Pareto frontier
Against the frontier
- GPT-5.6 Luna (Low) is off the frontier: at the same or lower cost, GPT-6 Luna (Low) scores 21.50 for $10.6.
- Qwen3.7 Max is off the frontier: at the same or lower cost, GPT-6.1 Sol (Max) scores 51.80 for $1082.
GPT-5.6 Luna (Low)Qwen3.7 MaxToday's Pareto frontierEvery other model
Matchup
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