DeepSeek V3 (Dec '24) vs MiMo-V2.5-Pro
Which is better for the money: DeepSeek V3 (Dec '24) by DeepSeek or MiMo-V2.5-Pro by Xiaomi? Intelligence, total benchmark cost, and end-to-end time from Artificial Analysis & other sources, snapshot 2026-07-17.
Trade-off
Verdict
Depends on your budget
MiMo-V2.5-Pro scores 28.0 points higher (42.2 vs 14.2) but costs 5.0× as much to run the benchmark ($98.5 vs $19.8; mid-range vs budget cost classes). They are not alternatives at one budget: pick MiMo-V2.5-Pro when you need intelligence above 14.2, and DeepSeek V3 (Dec '24) when 14.2 is enough.
| Metric | DeepSeek V3 (Dec '24) | MiMo-V2.5-Pro | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 14.2 | 42.2 | +197.2% MiMo-V2.5-Pro is 3.0× more intelligent |
| Total AA cost (lower is better) | $19.84 | $98.47 | +396.3% MiMo-V2.5-Pro is 5.0× more expensive |
| End-to-end time (lower is better) | Not reported | 46.21s | — not comparable |
| Price per 1M tokens (in / out) | $0.36 / $0.89 | $0.43 / $0.87 | |
| Input modalities | Not reported | Not reported |
MiMo-V2.5-Pro vs DeepSeek V3 (Dec '24): 197.2% more intelligence, 396.3% more cost to run the AA benchmark, and end-to-end time not fully reported.
Today's Pareto frontier
Against the frontier
- DeepSeek V3 (Dec '24) is on today's frontier: nothing is both smarter and cheaper.
- MiMo-V2.5-Pro is on today's frontier: nothing is both smarter and cheaper.
DeepSeek V3 (Dec '24)MiMo-V2.5-ProToday's Pareto frontierEvery other model
Matchup
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Accept: text/markdown or ?format=md returns this page as Markdown. JSON: /api/v1/compare/deepseek-v3/mimo-v2-5-pro · Markdown: /api/v1/compare/deepseek-v3/mimo-v2-5-pro?format=md · llms.txt · agent skill