Basic approximation algorithms understanding
According to your definition (which is the standard definition), an algorithm solving a certain minimization problem is an $\alpha$-approximation algorithm for any $\alpha \geq 1$.

Consider a minimization problem solvable in polynomial time, for example minimum cut. Let Alg1 and Alg2 be algorithms solving this problem exactly. Alg1 is a 2-approximation algorithm and Alg2 is a 4-approximation algorithm, yet there is no input on which Alg2 performs worse than Alg1.