An Independent Safety Evaluation of Kimi K2.5
Kimi K2.5 is an open-weight LLM that rivals closed models across coding, multimodal, and agentic benchmarks, but was released without an accompanying safety evaluation. In this work, we conduct a preliminary safety assessment of Kimi K2.5 focusing on risks likely to be exacerbated by powerful open-weight models. Specifically, we evaluate the model for CBRNE misuse risk, cybersecurity risk, misalignment, political censorship, bias, and harmlessness, in both agentic and non-agentic settings. We find that Kimi K2.5 shows similar dual-use capabilities to GPT 5.2 and Claude Opus 4.5, but with significantly fewer refusals on CBRNE-related requests, suggesting it may uplift malicious actors in w...
| Authors | Zheng-Xin Yong, Parv Mahajan, Andy Wang et al. |
|---|---|
| Primary category | cs.CR |
| Published | 3 April 2026 |
| Last updated at source | 3 April 2026 |
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