The Kimi K2.6 was released just yesterday, and looking at the benchmarks quoted in the release blog post, one could easily get the impression that it is the best model ever released. So I decided to do a quick test.

For this quick check, I used the same Strix lab, three-run setup, and CVSS-based scoring as in my Agentic AI pentesting with Strix: results from 18 LLM models post from last week. I ran the model through OpenRouter.

The first chart shows the score range across the three runs. The second compares performance with average cost per run.

Model Score Ranges

Model Performance

In short, K2.6 performed better than K2.5 in this setup. That is impressive because K2.5 was already one of the strongest lower-cost models in my previous testing. The trade-off is price: on OpenRouter, the average cost per run was almost three times higher than for K2.5.