Mistral Large 3 vs Qwen3.8-Flash-Next
Which is better for the money: Mistral Large 3 by Mistral or Qwen3.8-Flash-Next by Alibaba? Intelligence, total benchmark cost, and end-to-end time from Artificial Analysis & other sources, snapshot 2026-10-25.
Trade-off
Verdict
Depends on your budget
Qwen3.8-Flash-Next scores 30.5 points higher (39.8 vs 9.3) but costs 7.8× as much to run the benchmark ($363 vs $46.4; mid-range vs budget cost classes). They are not alternatives at one budget: pick Qwen3.8-Flash-Next when you need intelligence above 9.3, and Mistral Large 3 when 9.3 is enough.
| Metric | Mistral Large 3 | Qwen3.8-Flash-Next | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 9.3 | 39.8 | +328.0% Qwen3.8-Flash-Next is 4.3× more intelligent |
| Total AA cost (lower is better) | $46.41 | $362.72 | +681.6% Qwen3.8-Flash-Next is 7.8× more expensive |
| End-to-end time (lower is better) | 7.23s | 50.49s | +598.3% Qwen3.8-Flash-Next is 598.3% slower |
| Price per 1M tokens (in / out) | $0.50 / $1.50 | $0.15 / $0.47 | |
| Input modalities | Text, Image | Text, Image, Video |
Qwen3.8-Flash-Next vs Mistral Large 3: 328.0% more intelligence, 681.6% more cost to run the AA benchmark, and 598.3% slower end-to-end.
Today's Pareto frontier
Against the frontier
- Mistral Large 3 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.
Mistral Large 3Qwen3.8-Flash-NextToday'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/mistral-large-3/qwen3-8-flash-next · Markdown: /api/v1/compare/mistral-large-3/qwen3-8-flash-next?format=md · llms.txt · agent skill