Gemini 2.5 Pro vs Qwen3.7 Max
Which is better for the money: Gemini 2.5 Pro by Google or Qwen3.7 Max 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
Qwen3.7 Max scores 13.4 points higher (29.5 vs 16.1) but costs 2.8× as much to run the benchmark ($2277 vs $823; flagship vs premium cost classes). Pick Qwen3.7 Max when the extra intelligence is worth the premium, otherwise Gemini 2.5 Pro.
| Metric | Gemini 2.5 Pro | Qwen3.7 Max | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 16.1 | 29.5 | +83.2% Qwen3.7 Max is 83.2% more intelligent |
| Total AA cost (lower is better) | $822.85 | $2,277.12 | +176.7% Qwen3.7 Max is 2.8× more expensive |
| End-to-end time (lower is better) | 27.13s | 16.61s | −38.8% Qwen3.7 Max is 38.8% faster |
| Price per 1M tokens (in / out) | $1.25 / $10.0 | $2.50 / $7.50 | |
| Input modalities | Text, Image, Speech, Video | Text |
Qwen3.7 Max vs Gemini 2.5 Pro: 83.2% more intelligence, 176.7% more cost to run the AA benchmark, and 38.8% faster end-to-end.
Today's Pareto frontier
Against the frontier
- Gemini 2.5 Pro 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, Claude Opus 5.5 (High, Default Fallback) scores 53.60 for $2172.
Gemini 2.5 ProQwen3.7 MaxToday's Pareto frontierEvery other model
Matchup
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Accept: text/markdown or ?format=md returns this page as Markdown. JSON: /api/v1/compare/gemini-2-5-pro/qwen3-7-max · Markdown: /api/v1/compare/gemini-2-5-pro/qwen3-7-max?format=md · llms.txt · agent skill