MiMo-V2.5 vs Qwen3.8 27B (Xhigh)
Which is better for the money: MiMo-V2.5 by Xiaomi or Qwen3.8 27B (Xhigh) by Alibaba? Intelligence, total benchmark cost, and end-to-end time from Artificial Analysis & other sources, snapshot 2026-10-24.
Trade-off
Verdict
Depends on your budget
Qwen3.8 27B (Xhigh) scores 11.9 points higher (33.7 vs 21.8) but costs 22× as much to run the benchmark ($1336 vs $61.9; premium vs mid-range cost classes). They are not alternatives at one budget: pick Qwen3.8 27B (Xhigh) when you need intelligence above 21.8, and MiMo-V2.5 when 21.8 is enough.
| Metric | MiMo-V2.5 | Qwen3.8 27B (Xhigh) | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 21.8 | 33.7 | +54.6% Qwen3.8 27B (Xhigh) is 54.6% more intelligent |
| Total AA cost (lower is better) | $61.93 | $1,336.09 | +2057.4% Qwen3.8 27B (Xhigh) is 22× more expensive |
| End-to-end time (lower is better) | 41.73s | 60.10s | +44.0% Qwen3.8 27B (Xhigh) is 44.0% slower |
| Price per 1M tokens (in / out) | $0.13 / $0.27 | $0.50 / $3.00 | |
| Input modalities | Text, Image | Text, Image, Video |
Qwen3.8 27B (Xhigh) vs MiMo-V2.5: 54.6% more intelligence, 2057.4% more cost to run the AA benchmark, and 44.0% slower end-to-end.
Today's Pareto frontier
Against the frontier
- MiMo-V2.5 is off the frontier: at the same or lower cost, Claude Haiku 5.5 (Medium) scores 34.50 for $56.4.
- Qwen3.8 27B (Xhigh) is off the frontier: at the same or lower cost, GPT-6.1 Sol (Max) scores 51.80 for $1082.
MiMo-V2.5Qwen3.8 27B (Xhigh)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/mimo-v2-5-0424/qwen3-8-27b · Markdown: /api/v1/compare/mimo-v2-5-0424/qwen3-8-27b?format=md · llms.txt · agent skill