There are a few things to note about these two histograms. They have (at least approximately) the same mean. They are both (at least approximately) symmetric. The first has a larger range. The second seems to be more peaked (though it's hard to tell because of the different range.
You refer to "steepness". It's not clear what you mean by that, especially since you refer to steepness at one bin. Histograms are a bad way to look at "local" properties of data, since they are strongly dependent on how you choose the bins. So I can't/won't comment on "steepness" at one particular bin.
But it seems like you might want to compute some simple descriptive statistics on each of these data sets. If you have the Statistics Toolbox, the MEAN and SKEWNESS functions will, as I observed above, return more or less zero in both cases. The STD and KURTOSIS functions are perhaps what you are looking for. The former will of course return a larger value for the first data set. KURTOSIS will give you an indication of which data set is more "peaked", which is to say, puts more weight at the peak and in the tails as opposed to the mid-range.
If kurtosis is what you are asking about, one thing you might do to visualize it is to standardize both data sets using ZSCORE, and then plot smooth density estimates from KSDENSITY of both in the same figure. Something like
x1 = randn(1000,1);
x2 = trnd(3,1000,1);
hold on, ksdensity(zscore(x2)); hold off
The Distribution Fitting Tool, dfittool, will probably make comparing these two data sets easier.