Ministral 3 14B vs Qwen3.8-Flash-Next
Which is better for the money: Ministral 3 14B by Mistral or Qwen3.8-Flash-Next 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-Flash-Next scores 33.8 points higher (39.8 vs 6.0) but costs 9.7× as much to run the benchmark ($363 vs $37.6; mid-range vs budget cost classes). They are not alternatives at one budget: pick Qwen3.8-Flash-Next when you need intelligence above 6.0, and Ministral 3 14B when 6.0 is enough.
| Metric | Ministral 3 14B | Qwen3.8-Flash-Next | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 6.0 | 39.8 | +563.3% Qwen3.8-Flash-Next is 6.6× more intelligent |
| Total AA cost (lower is better) | $37.56 | $362.72 | +865.7% Qwen3.8-Flash-Next is 9.7× more expensive |
| End-to-end time (lower is better) | 7.92s | 49.76s | +528.3% Qwen3.8-Flash-Next is 528.3% slower |
| Price per 1M tokens (in / out) | $0.20 / $0.20 | $0.15 / $0.47 | |
| Input modalities | Text, Image | Text, Image, Video |
Qwen3.8-Flash-Next vs Ministral 3 14B: 563.3% more intelligence, 865.7% more cost to run the AA benchmark, and 528.3% 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-Flash-Next is off the frontier: at the same or lower cost, GPT-6.1 Sol (Medium) scores 47.80 for $361.
Ministral 3 14BQwen3.8-Flash-NextToday's Pareto frontierOpen-weights frontierEvery other model
Matchup
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