GPT-5.6 Luna (High) vs Qwen3.8 Max (0902)
Which is better for the money: GPT-5.6 Luna (High) by OpenAI or Qwen3.8 Max (0902) by Alibaba? Intelligence, total benchmark cost, and end-to-end time from Artificial Analysis & other sources, snapshot 2026-10-26.
Trade-off
Verdict
Depends on your budget
Qwen3.8 Max (0902) scores 13.3 points higher (45.4 vs 32.1) but costs 46× as much to run the benchmark ($4935 vs $108; flagship vs mid-range cost classes). They are not alternatives at one budget: pick Qwen3.8 Max (0902) when you need intelligence above 32.1, and GPT-5.6 Luna (High) when 32.1 is enough.
| Metric | GPT-5.6 Luna (High) | Qwen3.8 Max (0902) | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 32.1 | 45.4 | +41.4% Qwen3.8 Max (0902) is 41.4% more intelligent |
| Total AA cost (lower is better) | $108.15 | $4,934.79 | +4462.9% Qwen3.8 Max (0902) is 46× more expensive |
| End-to-end time (lower is better) | 16.71s | 64.08s | +283.5% Qwen3.8 Max (0902) is 283.5% slower |
| Price per 1M tokens (in / out) | $0.20 / $1.20 | $2.00 / $6.00 | |
| Input modalities | Text, Image | Text, Image |
Qwen3.8 Max (0902) vs GPT-5.6 Luna (High): 41.4% more intelligence, 4462.9% more cost to run the AA benchmark, and 283.5% slower end-to-end.
Today's Pareto frontier
Against the frontier
- GPT-5.6 Luna (High) is off the frontier: at the same or lower cost, Claude Haiku 5.5 (High) scores 37.80 for $94.1.
- 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-5.6 Luna (High)Qwen3.8 Max (0902)Today's Pareto frontierEvery other model
Matchup
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