GPT-5.6 Luna (High) vs Qwen3.8 27B (Xhigh)
Which is better for the money: GPT-5.6 Luna (High) by OpenAI or Qwen3.8 27B (Xhigh) by Alibaba? Intelligence, total benchmark cost, and end-to-end time from Artificial Analysis & other sources, snapshot 2026-10-27.
Trade-off
Verdict
Depends on your budget
Qwen3.8 27B (Xhigh) scores 1.6 points higher (33.7 vs 32.1) but costs 13× as much to run the benchmark ($1459 vs $108; premium vs mid-range cost classes). They are not alternatives at one budget: pick Qwen3.8 27B (Xhigh) 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 27B (Xhigh) | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 32.1 | 33.7 | +5.0% Qwen3.8 27B (Xhigh) is 5.0% more intelligent |
| Total AA cost (lower is better) | $108.15 | $1,458.94 | +1249.0% Qwen3.8 27B (Xhigh) is 13× more expensive |
| End-to-end time (lower is better) | 16.69s | 64.02s | +283.6% Qwen3.8 27B (Xhigh) is 283.6% slower |
| Price per 1M tokens (in / out) | $0.20 / $1.20 | $0.50 / $3.00 | |
| Input modalities | Text, Image | Text, Image, Video |
Qwen3.8 27B (Xhigh) vs GPT-5.6 Luna (High): 5.0% more intelligence, 1249.0% more cost to run the AA benchmark, and 283.6% 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 27B (Xhigh) is off the frontier: at the same or lower cost, GPT-6.1 Sol (Max) scores 51.80 for $1082.
GPT-5.6 Luna (High)Qwen3.8 27B (Xhigh)Today'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-5-6-luna-high/qwen3-8-27b · Markdown: /api/v1/compare/gpt-5-6-luna-high/qwen3-8-27b?format=md · llms.txt · agent skill