I was surprised to see Qwen 3 0.6B, a local AI model with only 0.6 billion parameters, outperform GPT-5 in a simple math problem. The equation was 5.9 = x + 5.11, and while GPT-5 failed to solve it without thinking, Qwen 3 0.6B succeeded effortlessly.
I decided to test it myself using local models running on my iPhone, and the results were consistent. Qwen 3 0.6B solved the equation every time, while GPT-5 failed around 30-40% of the time. It’s impressive to see a smaller, local model perform better than a larger, more advanced AI like GPT-5.
Of course, this is just one example, and GPT-5 is still a more powerful AI in many ways. But it’s interesting to see how local models like Qwen 3 0.6B can hold their own in certain tasks. Maybe it’s time to start exploring the potential of local AI models?