DeepSeek-V4-Pro vs Kimi K2.6
DeepSeek-V4-Pro (DeepSeek) and Kimi K2.6 (Moonshot) compared on benchmarks, pricing, context window, and use-case rankings.
- Kimi K2.6 leads on overall intelligence (ECI 151 vs 150).
- DeepSeek-V4-Pro is cheaper on input tokens — $0.43 vs $0.55 per 1M.
- DeepSeek-V4-Pro has a larger context window (1M vs 262K tokens).
- Kimi K2.6 ranks higher for coding (79th vs 76th 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-V4-Pro better than Kimi K2.6?
On Epoch AI's Capabilities Index, Kimi K2.6 scores higher (151) than DeepSeek-V4-Pro (150). The right pick depends on your task — compare their coding, math, and reasoning scores in the table above.
Which is cheaper, DeepSeek-V4-Pro or Kimi K2.6?
DeepSeek-V4-Pro is cheaper on input tokens at $0.43 per million, versus $0.55 (representative OpenRouter pricing).
Which has a larger context window, DeepSeek-V4-Pro or Kimi K2.6?
DeepSeek-V4-Pro supports up to 1M tokens, compared with 262K for the other.
Which is better for coding, DeepSeek-V4-Pro or Kimi K2.6?
Across coding benchmarks like SWE-bench Verified and Terminal-Bench, Kimi K2.6 ranks higher — 79th vs 76th 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.