I do not have enough reputation to comment, so I give an answer to this old question instead. It is quite easy to understand the problem even for general $n$. Assume, we have $n$ positive numbers $a_j$. Then the easiest upper bound is
$ \frac{1}{\min(a_j)} \, ,$
while
$ \frac{1}{\min(a_j)} - \frac{1}{\max(a_j)} $
is slightly better. We see that there is no problem, if the $a_j$ uniformly stay away from $0$, which is fulfilled, if you only have one specified set of positive numbers. If we want to improve upon those two bounds, we need more knowledge about the $a_j$ than just their min and max.
To prove the asserted inequalities, use the inequality
$ \max \ \geq \ AM \ \geq \ HM \ \geq \ \min \, .$
To show, that we can not do significantly better, call $AM_1$ the usual arithmetic mean and $HM_1$ the usual harmonic mean. By contrast, $AM_{n-1}$ and $HM_{n-1}$ are formed by piking $n-1$ distinct of the $n$ numbers, example for $n = 4$:
$AM_{1} \ = \ \frac{a_1 + a_2 + a_3 + a_4}{4} \, ,$
$AM_{3} \ = \ \frac{a_1a_2a_3 + a_1a_2a_4 + a_1a_3a_4 + a_2a_3a_4}{4} \, ,$
correspondingly for the harmonic mean. Then you find
$ \frac{1}{HM_1} \ = \ \frac{AM_{n-1}}{a_1 \cdot \ldots \cdot a_n} $
and
$ \frac{1}{AM_1} \ = \ \frac{HM_{n-1}}{a_1 \cdot \ldots \cdot a_n} \, ,$
so
$ \frac{1}{HM_1} - \frac{1}{AM_1} \ = \ \frac{AM_{n-1} - HM_{n-1}}{a_1 \cdot \ldots \cdot a_n} \, .$
To bound this expression, you can refer to the inequality between geometric and harmonic mean, because this works just as well for our $n$ positive numbers $\prod_{\neq i} a_j$, but this gives no upper bound, and a nontrivial bound between AM and HM seems difficult to establish. But you can use the inequality
$ \max \ \geq \ AM \ \geq \ HM \ \geq \ \min$
to see
$ \frac{\max \prod_{\neq i} a_j - \min \prod_{\neq i} a_j}{a_1 \cdot \ldots \cdot a_n} \ \geq \ \frac{AM_{n-1} - HM_{n-1}}{a_1 \cdot \ldots \cdot a_n} \, .$
Furthermore a moment's thought reveals
$ \frac{\max \prod_{\neq i} a_j}{a_1 \cdot \ldots \cdot a_n} \ = \ \frac{1}{\min a_j} \, .$
and
$ \frac{\min \prod_{\neq i} a_j}{a_1 \cdot \ldots \cdot a_n} \ = \ \frac{1}{\max a_j} \, ,$
so we get
$ \frac{1}{\min a_j} - \frac{1}{\max a_j} \ \geq \ \frac{AM_{n-1} - HM_{n-1}}{a_1 \cdot \ldots \cdot a_n} \, .$
Furthermore it is clear, that we can not improve on this bound, if we know nothing further about the $a_j$, for example compare $a_1 \, = \, \min a_j \ \leq \ a_2 \, = \, a_3 \, = \, \cdots \, = \, a_n \ = \ \max a_j$ and $a_1 \, = \, \max a_j \geq \ a_2 \, = \, a_3 \, = \, \cdots \, = \, a_n \ = \ \min a_j$.