GPT-6 Luna (Max) vs Qwen3.8 Max (0902)
Which is better for the money: GPT-6 Luna (Max) by OpenAI or Qwen3.8 Max (0902) by Alibaba? 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
Qwen3.8 Max (0902) scores 7.3 points higher (45.4 vs 38.1) but costs 40× as much to run the benchmark ($4935 vs $122; flagship vs mid-range cost classes). They are not alternatives at one budget: pick Qwen3.8 Max (0902) when you need intelligence above 38.1, and GPT-6 Luna (Max) when 38.1 is enough.
| Metric | GPT-6 Luna (Max) | Qwen3.8 Max (0902) | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 38.1 | 45.4 | +19.2% Qwen3.8 Max (0902) is 19.2% more intelligent |
| Total AA cost (lower is better) | $122.05 | $4,934.79 | +3943.3% Qwen3.8 Max (0902) is 40× more expensive |
| End-to-end time (lower is better) | 82.02s | 63.23s | −22.9% Qwen3.8 Max (0902) is 22.9% faster |
| Price per 1M tokens (in / out) | $0.10 / $0.50 | $2.00 / $6.00 | |
| Input modalities | Text, Image | Text, Image |
Qwen3.8 Max (0902) vs GPT-6 Luna (Max): 19.2% more intelligence, 3943.3% more cost to run the AA benchmark, and 22.9% faster end-to-end.
Today's Pareto frontier
Against the frontier
- GPT-6 Luna (Max) is on today's frontier: nothing is both smarter and cheaper.
- Qwen3.8 Max (0902) is off the frontier: at the same or lower cost, Claude Opus 5.5 (Xhigh, Default Fallback) scores 56.00 for $4057.
GPT-6 Luna (Max)Qwen3.8 Max (0902)Today's Pareto frontierEvery other model
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Accept: text/markdown or ?format=md returns this page as Markdown. JSON: /api/v1/compare/gpt-6-luna/qwen3-8-max · Markdown: /api/v1/compare/gpt-6-luna/qwen3-8-max?format=md · llms.txt · agent skill