Kimi K3 with First Tree Beats GPT 5.6 Sol on a Real Engineering Task (twitter.com)

In a recent evaluation, Kimi K3, the latest AI tool, significantly outperformed the widely-used GPT 5.6 Sol on a real engineering task. Utilizing a collaborative multi-agent setup through First Tree, Kimi K3 achieved a score of 76 out of 100, while GPT 5.6 Sol garnered only 53. This performance was assessed against a common grading rubric on an actual open-source issue, revealing Kimi K3's potential for enhanced productivity and quality when integrated within a multi-agent framework. The process involved two Kimi K3 agents working in tandem—one focused on solution development and the other on review—which helped to identify flaws that a single agent might overlook. This approach yielded notable improvements in areas such as testing, compatibility, and maintainability. The results indicate that Kimi K3, when paired with First Tree, can achieve higher efficacy at a competitive cost of $13.14 compared to GPT 5.6 Sol's $12.57, making it a valuable option for engineering applications. This development underscores the significance of collaborative AI systems in advancing the capabilities of machine learning tools.