  We make a comparison for ten typical, popular dark energy models according to
their 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.
