Skip to content

DeepSeek-V3 vs Kimi K2.7 Code

Verdict

Kimi K2.7 Code leads 3–0 across 3 shared benchmarks.

DeepSeek-V3 0 · Kimi K2.7 Code 3 · higher isn't always better — see caveats.

Per-benchmark head-to-head

Reported scores — protocols may differ. How we compare

Sort
DeepSeek-V3Kimi K2.7 Code

What the labs claim

Vendor claims — compare against the measured scores above. A claim is what a developer says about its own model, not an independent measurement.

DeepSeek-V3

Coding

  • “DeepSeek-V3 achieves the best performance on most benchmarks, especially on math and code tasks.”
    github.com2024

General

  • “At an economical cost of only 2.664M H800 GPU hours, we complete the pre-training of DeepSeek-V3 on 14.8T tokens, producing the currently strongest open-source base model.”
    github.com2024
  • “DeepSeek-V3 outperforms other open-source models and achieves performance comparable to leading closed-source models.”
    github.com2024

Reasoning

  • “Our pipeline elegantly incorporates the verification and reflection patterns of R1 into DeepSeek-V3 and notably improves its reasoning performance.”
    github.com2024

Kimi K2.7 Code

No vendor claims on file for Kimi K2.7 Code.

A higher number is not always a better model. Each score is task performance under a disclosed harness. Of the 6 measurements across 3 shared benchmarks, 6 single-evaluator or undisclosed-protocol reports; 67% are independently reproduced. Kimi K2.7 Code pricing is cross-check disputed — weigh cost claims with the same caution as benchmark wins. Follow any benchmark to its integrity grade before reading a win as decisive.

Follow the record

These models

Same tier

DeepSeek-V3 vs …

Kimi K2.7 Code vs …