We make a comparison for ten typical, popular dark energy models according to
theirs capabilities of fitting the current observational data. The
observational data we use in this work include the JLA sample of type Ia
supernovae observation, the Planck 2015 distance priors of cosmic microwave
background observation, the baryon acoustic oscillations measurements, and the
direct measurement of the Hubble constant. Since the models have different
numbers of parameters, in order to make a fair comparison, we employ the Akaike
and Bayesian information criteria to assess the worth of the models. The
analysis results show that, according to the capability of explaining
observations, the cosmological constant model is still the best one among all
the dark energy models. The generalized Chaplygin gas model, the constant $w$
model, and the $\alpha$ dark energy model are worse than the cosmological
constant model, but still are good models compared to others. The holographic
dark energy model, the new generalized Chaplygin gas model, and the
Chevalliear-Polarski-Linder model can still fit the current observations well,
but from an economically feasible perspective, they are not so good. The new
agegraphic dark energy model, the Dvali-Gabadadze-Porrati model, and the Ricci
dark energy model are excluded by the current observations.