Mistral Large 4 Preview vs Qwen3.8 Max (0902)
Which is better for the money: Mistral Large 4 Preview by Mistral or Qwen3.8 Max (0902) by Alibaba? Intelligence, total benchmark cost, and end-to-end time from Artificial Analysis & other sources, snapshot 2026-10-29.
Trade-off
Verdict
Depends on your budget
Qwen3.8 Max (0902) scores 8.3 points higher (33.6 vs 25.3) but costs 2.2× as much to run the benchmark ($6354 vs $2923; both flagship class). Pick Qwen3.8 Max (0902) when the extra intelligence is worth the premium, otherwise Mistral Large 4 Preview.
| Metric | Mistral Large 4 Preview | Qwen3.8 Max (0902) | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 25.3 | 33.6 | +32.8% Qwen3.8 Max (0902) is 32.8% more intelligent |
| Total AA cost (lower is better) | $2,923.39 | $6,353.83 | +117.3% Qwen3.8 Max (0902) is 2.2× more expensive |
| End-to-end time (lower is better) | 25.54s | 65.11s | +154.9% Qwen3.8 Max (0902) is 154.9% slower |
| Price per 1M tokens (in / out) | $0.70 / $2.10 | $2.00 / $6.00 | |
| Input modalities | Text, Image | Text, Image |
Qwen3.8 Max (0902) vs Mistral Large 4 Preview: 32.8% more intelligence, 117.3% more cost to run the AA benchmark, and 154.9% slower end-to-end.
Today's Pareto frontier
Against the frontier
- Mistral Large 4 Preview is off the frontier: at the same or lower cost, GPT-6.1 Sol (Max) scores 54.50 for $1124.
- Qwen3.8 Max (0902) is off the frontier: at the same or lower cost, Claude Opus 5.5 (Xhigh, Default Fallback) scores 57.00 for $4766.
Mistral Large 4 PreviewQwen3.8 Max (0902)Today's Pareto frontierEvery other model
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Accept: text/markdown or ?format=md returns this page as Markdown. JSON: /api/v1/compare/mistral-large-4-preview/qwen3-8-max · Markdown: /api/v1/compare/mistral-large-4-preview/qwen3-8-max?format=md · llms.txt · agent skill