gpt-oss-20b (High) vs Qwen3.7 Max
Which is better for the money: gpt-oss-20b (High) by OpenAI or Qwen3.7 Max by Alibaba? Intelligence, total benchmark cost, and end-to-end time from Artificial Analysis & other sources, snapshot 2026-10-25.
Trade-off
Verdict
Depends on your budget
Qwen3.7 Max scores 20.5 points higher (29.5 vs 9.0) but costs 79× as much to run the benchmark ($2277 vs $28.8; flagship vs budget cost classes). They are not alternatives at one budget: pick Qwen3.7 Max when you need intelligence above 9.0, and gpt-oss-20b (High) when 9.0 is enough.
| Metric | gpt-oss-20b (High) | Qwen3.7 Max | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 9.0 | 29.5 | +227.8% Qwen3.7 Max is 3.3× more intelligent |
| Total AA cost (lower is better) | $28.81 | $2,277.12 | +7803.9% Qwen3.7 Max is 79× more expensive |
| End-to-end time (lower is better) | 15.12s | 16.62s | +9.9% Qwen3.7 Max is 9.9% slower |
| Price per 1M tokens (in / out) | $0.05 / $0.22 | $2.50 / $7.50 | |
| Input modalities | Text | Text |
Qwen3.7 Max vs gpt-oss-20b (High): 227.8% more intelligence, 7803.9% more cost to run the AA benchmark, and 9.9% slower end-to-end.
Today's Pareto frontier
Against the frontier
- gpt-oss-20b (High) 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, Claude Opus 5.5 (High, Default Fallback) scores 53.60 for $2172.
gpt-oss-20b (High)Qwen3.7 MaxToday'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/gpt-oss-20b/qwen3-7-max · Markdown: /api/v1/compare/gpt-oss-20b/qwen3-7-max?format=md · llms.txt · agent skill