MuleRun Helped Me Use Top AI Models Like Claude 4.5, GPT‑5, and Gemini 3 Pro for Free
Recently, I finally experienced what it feels like to “use top overseas AI models for free as much as I want,” and it was amazing. This article shares how I did it with the MuleRun platform.
Getting Started With MuleRun
About two months ago, I started using a platform called MuleRun that lets you build and publish your own AI agents for users around the world. When people use your agents, you earn both real US dollars and platform credits.
These platform credits can be used to call various APIs on MuleRun, including text, image, and video generation models. Among them are some of the most advanced large language models available right now, such as Claude Sonnet 4.5, GPT‑5, and Gemini 3 Pro.
Earning Credits by Publishing Agents
One of my best‑performing agents on MuleRun is a LinkedIn‑style image generator. It currently brings in the highest income for me on the platform.
Some time ago, I noticed that a YouTuber with over 2 million subscribers had recommended this agent in a video, which gave it a big boost. That moment really made me believe that MuleRun has huge potential and that there is strong demand for well‑designed agents.
From “Paying for Models” to “Using Them for Free”
What surprised me most is how my cost structure has completely changed. My main job is not software development, but I often use n8n to build AI agents and automation workflows as part of my daily work and side projects.
Naturally, these top overseas models became my first choice for most tasks because of their strong performance. In the past, I would still pay attention to my monthly AI model expenses, even if the total amount was not extremely high.
Now, the situation has flipped: by publishing useful agents on MuleRun, my available model usage keeps increasing every day. At this point, I earn the equivalent of more than 100 RMB in model credits in my account every single day, which is far more than my daily usage.
In other words, the rate at which I earn API credits is higher than the rate at which I spend them, so I have created a positive cycle of “earning more than I use.” This allows me to call top AI models like Claude 4.5, GPT‑5, and Gemini 3 Pro almost freely, without worrying about cost.
Extra Rewards From MuleRun Events
Another pleasant surprise came from MuleRun’s official events. Recently, the platform organized a ranking event for agents based on usage volume, and the top creators received cash rewards in US dollars.
I was lucky enough to reach the top 10 in that event. The prize money was paid directly into my local bank account, which made the whole experience feel very real and concrete.
Beyond the direct income, this also gave my agents more exposure and attracted more users, which in turn generated even more platform credits and usage. The loop of “more users → more income → more usage capacity” became even stronger.
Meeting Like‑Minded People and Finding a Co‑founder
In the process of using MuleRun, I also met many like‑minded creators who are passionate about AI, agents, prompt engineering, and large language models. We often exchange ideas about product design, technical implementation, and growth strategies.
Through this community, I even found a very reliable co‑founder. We share similar values, have complementary skills, and both have a strong desire to build long‑term products in the AI space.
Talking and collaborating with them has given me not only practical skills but also a deeper understanding of the AI ecosystem and the agent economy. Compared with the money itself, the sense of growth and connection brought by this experience is even more valuable.
Passion brought us together, and an open, sharing mindset is helping all of us go further. MuleRun is not just a tool for calling top AI models at zero cost; it has also become a platform where creators can learn, earn, and grow together.

