Recently, the CEO of the US startup Vercel, Guillermo, posted a notable statement on social media, claiming that the Chinese open-source model Kimi K2 outperforms its competitors, including the cutting-edge closed-source models GPT-5 and Claude Sonnet4.5, in agent application scenarios. According to Guillermo's data, Kimi K2 not only leads by 50% in accuracy but also runs 5 times faster. This finding has drawn widespread attention from the tech community.

In a real-world benchmark test, the data provided by Guillermo shows that Kimi K2 takes only 2 minutes to run, while its competitors GPT-5 and Sonnet4.5 require 8 to 10 minutes to complete the same task. Additionally, Kimi K2 has an accuracy rate higher than 60%, whereas GPT-5 and Sonnet4.5 have accuracy rates below 40% and 50%, respectively. This result highlights the advantages of Kimi K2 in agent applications, making it a new favorite in the tech world.

Kimi AI, Moonshot

Guillermo also mentioned that thanks to its operating platform, users can easily switch models at zero cost, which undoubtedly provides developers and businesses with more flexibility and convenience. Such features give Kimi K2 a favorable position in the competition for agent development and application.

This statement not only enhances the prospects of Kimi K2 but also offers a new perspective for the development of open-source AI models. As technology continues to evolve, more open-source models are expected to emerge, changing our understanding and application of artificial intelligence.

It is foreseeable that as the demand for agent applications increases, the competition among AI models will become even fiercer. Developers and companies that can effectively utilize these emerging tools will surely gain a more advantageous position in the future wave of technology.