Mistral Small 3.1 vs Qwen3.7 Plus
Which is better for the money: Mistral Small 3.1 by Mistral or Qwen3.7 Plus by Alibaba? Intelligence, total benchmark cost, and end-to-end time from Artificial Analysis & other sources, snapshot 2026-10-25.
Trade-off
Verdict
Depends on your budget
Qwen3.7 Plus scores 18.1 points higher (25.2 vs 7.1) but costs 15× as much to run the benchmark ($428 vs $27.8; mid-range vs budget cost classes). They are not alternatives at one budget: pick Qwen3.7 Plus when you need intelligence above 7.1, and Mistral Small 3.1 when 7.1 is enough.
| Metric | Mistral Small 3.1 | Qwen3.7 Plus | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 7.1 | 25.2 | +254.9% Qwen3.7 Plus is 3.5× more intelligent |
| Total AA cost (lower is better) | $27.82 | $427.73 | +1437.5% Qwen3.7 Plus is 15× more expensive |
| End-to-end time (lower is better) | 11.78s | 46.21s | +292.3% Qwen3.7 Plus is 292.3% slower |
| Price per 1M tokens (in / out) | $0.08 / $0.14 | $0.40 / $1.60 | |
| Input modalities | Text, Image | Text, Image, Video |
Qwen3.7 Plus vs Mistral Small 3.1: 254.9% more intelligence, 1437.5% more cost to run the AA benchmark, and 292.3% slower end-to-end.
Today's Pareto frontier
Against the frontier
- Mistral Small 3.1 is off the frontier: at the same or lower cost, GPT-6 Luna (Low) scores 21.50 for $10.6.
- Qwen3.7 Plus is off the frontier: at the same or lower cost, GPT-6.1 Sol (Medium) scores 47.80 for $361.
Mistral Small 3.1Qwen3.7 PlusToday's Pareto frontierOpen-weights frontierEvery other model
Matchup
Compare something else
Agents:
Accept: text/markdown or ?format=md returns this page as Markdown. JSON: /api/v1/compare/mistral-small-3-1/qwen3-7-plus · Markdown: /api/v1/compare/mistral-small-3-1/qwen3-7-plus?format=md · llms.txt · agent skill