Ministral 3 14B vs Qwen3.8 Max (0902)
Which is better for the money: Ministral 3 14B by Mistral or Qwen3.8 Max (0902) by Alibaba? Intelligence, total benchmark cost, and end-to-end time from Artificial Analysis & other sources, snapshot 2026-10-26.
Trade-off
Verdict
Depends on your budget
Qwen3.8 Max (0902) scores 39.4 points higher (45.4 vs 6.0) but costs 131× as much to run the benchmark ($4935 vs $37.6; flagship vs budget cost classes). They are not alternatives at one budget: pick Qwen3.8 Max (0902) when you need intelligence above 6.0, and Ministral 3 14B when 6.0 is enough.
| Metric | Ministral 3 14B | Qwen3.8 Max (0902) | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 6.0 | 45.4 | +656.7% Qwen3.8 Max (0902) is 7.6× more intelligent |
| Total AA cost (lower is better) | $37.56 | $4,934.79 | +13038.4% Qwen3.8 Max (0902) is 131× more expensive |
| End-to-end time (lower is better) | 8.02s | 62.92s | +684.5% Qwen3.8 Max (0902) is 684.5% slower |
| Price per 1M tokens (in / out) | $0.20 / $0.20 | $2.00 / $6.00 | |
| Input modalities | Text, Image | Text, Image |
Qwen3.8 Max (0902) vs Ministral 3 14B: 656.7% more intelligence, 13038.4% more cost to run the AA benchmark, and 684.5% slower end-to-end.
Today's Pareto frontier
Against the frontier
- Ministral 3 14B is off the frontier: at the same or lower cost, GPT-6 Luna (Medium) scores 29.90 for $31.2.
- Qwen3.8 Max (0902) is off the frontier: at the same or lower cost, Claude Opus 5.5 (Xhigh, Default Fallback) scores 56.00 for $4057.
Ministral 3 14BQwen3.8 Max (0902)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/ministral-3-14b/qwen3-8-max · Markdown: /api/v1/compare/ministral-3-14b/qwen3-8-max?format=md · llms.txt · agent skill