Smaller approximation ratio for larger input size?

Is it possible for an approximation algorithm (for minimization optimization problem) to obtain smaller approximation ratios for inputs of larger size? For example, is $1/n$- or $1/\log n$-APX reasonable? If it is, do you know any natural problems?