5 Limitations

本文为论文《Kimi K2：面向智能体能力的开源大模型》「论文原文」板块的对应章节，按 arXiv 官方全文逐字保留，层级与「中文全文翻译」板块一一对应。

In our internal tests, we have identified some limitations in current Kimi K2 models. When dealing with hard reasoning tasks or unclear tool definition, the model may generate excessive tokens, sometimes leading to truncated outputs or incomplete tool calls. Additionally, performance may decline on certain tasks if tool use is unnecessarily enabled. When building complete software projects, the success rate of one-shot prompting is not as good as using K2 under an agentic coding framework. We are working to address these issues in future releases and looking forward to more feedbacks.