Gemma 4 E4B (Reasoning) vs Qwen3.7 Max
Which is better for the money: Gemma 4 E4B (Reasoning) 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 20.6 points higher (29.5 vs 8.9) but costs 155× as much to run the benchmark ($2277 vs $14.7; flagship vs budget cost classes). They are not alternatives at one budget: pick Qwen3.7 Max when you need intelligence above 8.9, and Gemma 4 E4B (Reasoning) when 8.9 is enough.
| Metric | Gemma 4 E4B (Reasoning) | Qwen3.7 Max | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 8.9 | 29.5 | +231.5% Qwen3.7 Max is 3.3× more intelligent |
| Total AA cost (lower is better) | $14.68 | $2,277.12 | +15411.7% Qwen3.7 Max is 155× more expensive |
| End-to-end time (lower is better) | 57.75s | 16.61s | −71.2% Qwen3.7 Max is 71.2% faster |
| Price per 1M tokens (in / out) | $0.02 / $0.10 | $2.50 / $7.50 | |
| Input modalities | Text, Image, Speech, Video | Text |
Qwen3.7 Max vs Gemma 4 E4B (Reasoning): 231.5% more intelligence, 15411.7% more cost to run the AA benchmark, and 71.2% faster end-to-end.
Today's Pareto frontier
Against the frontier
- Gemma 4 E4B (Reasoning) is off the frontier: at the same or lower cost, GPT-6 Luna (Low) scores 21.50 for $10.6.
- 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.
Gemma 4 E4B (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/gemma-4-e4b/qwen3-7-max · Markdown: /api/v1/compare/gemma-4-e4b/qwen3-7-max?format=md · llms.txt · agent skill