Verdict
Kimi K2.6 leads 4–0 across 4 shared benchmarks.
DeepSeek-R1 0 · Kimi K2.6 4 · higher isn't always better — check the caveats below.
Reported scores — protocols may differ. How we compare
Vendor claims — compare against the measured scores above. A claim is what a developer says about its own model, not an independent measurement.
Reasoning
“After these steps, we obtained a checkpoint referred to as DeepSeek-R1, which achieves performance on par with OpenAI-o1-1217.”
“For education-oriented knowledge benchmarks such as MMLU, MMLU-Pro, and GPQA Diamond, DeepSeek-R1 demonstrates superior performance compared to DeepSeek-V3.”
No vendor claims on file for Kimi K2.6.
Kimi K2.6 leads 4–0 across 4 shared benchmarks. DeepSeek-R1 leads 0 benchmarks and Kimi K2.6 leads 4. Higher isn't always better — see the integrity caveats on each benchmark.
DeepSeek-R1 and Kimi K2.6 have 4 benchmarks in common in our data — those are the only rows where a direct, apples-to-apples comparison is drawn.