DeepSeek V3 (Dec '24) vs Kimi K2.7 Code
Which is better for the money: DeepSeek V3 (Dec '24) by DeepSeek or Kimi K2.7 Code by Kimi? 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
Kimi K2.7 Code scores 17.3 points higher (25.8 vs 8.5) but costs 39× as much to run the benchmark ($993 vs $25.4; premium vs budget cost classes). They are not alternatives at one budget: pick Kimi K2.7 Code when you need intelligence above 8.5, and DeepSeek V3 (Dec '24) when 8.5 is enough.
| Metric | DeepSeek V3 (Dec '24) | Kimi K2.7 Code | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 8.5 | 25.8 | +203.5% Kimi K2.7 Code is 3.0× more intelligent |
| Total AA cost (lower is better) | $25.37 | $992.88 | +3813.6% Kimi K2.7 Code is 39× more expensive |
| End-to-end time (lower is better) | 11.89s | 46.75s | +293.2% Kimi K2.7 Code is 293.2% slower |
| Price per 1M tokens (in / out) | $0.32 / $0.89 | $0.95 / $4.00 | |
| Input modalities | Text | Text, Image, Video |
Kimi K2.7 Code vs DeepSeek V3 (Dec '24): 203.5% more intelligence, 3813.6% more cost to run the AA benchmark, and 293.2% slower end-to-end.
Today's Pareto frontier
Against the frontier
- DeepSeek V3 (Dec '24) is off the frontier: at the same or lower cost, GPT-6 Luna (Low) scores 21.50 for $10.6.
- Kimi K2.7 Code is off the frontier: at the same or lower cost, GPT-6.1 Sol (Xhigh) scores 51.00 for $662.
DeepSeek V3 (Dec '24)Kimi K2.7 CodeToday'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/deepseek-v3/kimi-k2-7-code · Markdown: /api/v1/compare/deepseek-v3/kimi-k2-7-code?format=md · llms.txt · agent skill