GPT-5.6 Luna (Max) vs Qwen3 235B A22B 2507 (Reasoning)
Which is better for the money: GPT-5.6 Luna (Max) by OpenAI or Qwen3 235B A22B 2507 (Reasoning) 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
GPT-5.6 Luna (Max) scores 24.6 points higher (37.3 vs 12.7) but costs 1.4× as much to run the benchmark ($320 vs $234; both mid-range class). Pick GPT-5.6 Luna (Max) when the extra intelligence is worth the premium, otherwise Qwen3 235B A22B 2507 (Reasoning).
| Metric | GPT-5.6 Luna (Max) | Qwen3 235B A22B 2507 (Reasoning) | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 37.3 | 12.7 | −66.0% Qwen3 235B A22B 2507 … is 66.0% less intelligent |
| Total AA cost (lower is better) | $319.93 | $233.56 | −27.0% Qwen3 235B A22B 2507 … is 27.0% cheaper |
| End-to-end time (lower is better) | 124.25s | 22.73s | −81.7% Qwen3 235B A22B 2507 … is 81.7% faster |
| Price per 1M tokens (in / out) | $0.20 / $1.20 | $0.23 / $2.30 | |
| Input modalities | Text, Image | Text |
Qwen3 235B A22B 2507 (Reasoning) vs GPT-5.6 Luna (Max): 66.0% less intelligence, 27.0% less cost to run the AA benchmark, and 81.7% faster end-to-end.
Today's Pareto frontier
Against the frontier
- GPT-5.6 Luna (Max) is off the frontier: at the same or lower cost, MiMo-V2.6-Pro scores 46.30 for $207.
- Qwen3 235B A22B 2507 (Reasoning) is off the frontier: at the same or lower cost, MiMo-V2.6-Pro scores 46.30 for $207.
GPT-5.6 Luna (Max)Qwen3 235B A22B 2507 (Reasoning)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/qwen3-235b-a22b-instruct-2507-reasoning · Markdown: /api/v1/compare/gpt-5-6-luna/qwen3-235b-a22b-instruct-2507-reasoning?format=md · llms.txt · agent skill