DeepSeek-V3.2 vs Kimi K2.5
DeepSeek-V3.2 (DeepSeek) and Kimi K2.5 (Moonshot) compared on benchmarks, pricing, context window, and use-case rankings.
- Kimi K2.5 leads on overall intelligence (ECI 148 vs 146).
- DeepSeek-V3.2 is cheaper on input tokens — $0.23 vs $0.38 per 1M.
- Kimi K2.5 has a larger context window (262K vs 131K tokens).
- Kimi K2.5 ranks higher for coding (46th vs 27th percentile).
Use-case scores are 0–100 percentile composites across each area’s benchmarks, ranked against every model from the past year. Highlighted cells lead each row. Open a model for the full picture.
Frequently asked questions
Is DeepSeek-V3.2 better than Kimi K2.5?
On Epoch AI's Capabilities Index, Kimi K2.5 scores higher (148) than DeepSeek-V3.2 (146). The right pick depends on your task — compare their coding, math, and reasoning scores in the table above.
Which is cheaper, DeepSeek-V3.2 or Kimi K2.5?
DeepSeek-V3.2 is cheaper on input tokens at $0.23 per million, versus $0.38 (representative OpenRouter pricing).
Which has a larger context window, DeepSeek-V3.2 or Kimi K2.5?
Kimi K2.5 supports up to 262K tokens, compared with 131K for the other.
Which is better for coding, DeepSeek-V3.2 or Kimi K2.5?
Across coding benchmarks like SWE-bench Verified and Terminal-Bench, Kimi K2.5 ranks higher — 46th vs 27th percentile among the models tracked on Model Beat.
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Benchmarks & model data from Epoch AI (CC BY); pricing & specs from OpenRouter. ECI = Epoch Capabilities Index.