Qwen3.6 35B A3B (Reasoning) vs Qwen3.7 Max
Which is better for the money: Qwen3.6 35B A3B (Reasoning) by Alibaba or Qwen3.7 Max 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
Qwen3.7 Max scores 11.3 points higher (29.5 vs 18.2) but costs 2.2× as much to run the benchmark ($1965 vs $896; both premium class). Pick Qwen3.7 Max when the extra intelligence is worth the premium, otherwise Qwen3.6 35B A3B (Reasoning).
| Metric | Qwen3.6 35B A3B (Reasoning) | Qwen3.7 Max | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 18.2 | 29.5 | +62.1% Qwen3.7 Max is 62.1% more intelligent |
| Total AA cost (lower is better) | $896.39 | $1,964.83 | +119.2% Qwen3.7 Max is 2.2× more expensive |
| End-to-end time (lower is better) | 46.08s | 16.53s | −64.1% Qwen3.7 Max is 64.1% faster |
| Price per 1M tokens (in / out) | $0.38 / $2.25 | $2.50 / $7.50 | |
| Input modalities | Text, Image, Video | Text |
Qwen3.7 Max vs Qwen3.6 35B A3B (Reasoning): 62.1% more intelligence, 119.2% more cost to run the AA benchmark, and 64.1% faster end-to-end.
Today's Pareto frontier
Against the frontier
- Qwen3.6 35B A3B (Reasoning) is off the frontier: at the same or lower cost, GPT-6.1 Sol (Xhigh) scores 51.00 for $662.
- Qwen3.7 Max is off the frontier: at the same or lower cost, GPT-6.1 Sol (Max) scores 51.80 for $1082.
Qwen3.6 35B A3B (Reasoning)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/qwen3-6-35b-a3b/qwen3-7-max · Markdown: /api/v1/compare/qwen3-6-35b-a3b/qwen3-7-max?format=md · llms.txt · agent skill