  We determine the best-fit values and confidence limits for dynamical dark
energy parameters together with other cosmological parameters on the basis of
different datasets which include WMAP9 or Planck-2013 results on CMB
anisotropy, BAO distance ratios from recent galaxy surveys, magnitude-redshift
relations for distant SNe Ia from SNLS3 and Union2.1 samples and the HST
determination of the Hubble constant. We use a Markov Chain Monte Carlo routine
to map out the likelihood in the multi-dimensional parameter space. We show
that the most precise determination of cosmological parameters with the
narrowest confidence limits is obtained for the Planck{+}HST{+}BAO{+}SNLS3
dataset. The best-fit values and 2$\sigma$ confidence limits for cosmological
parameters in this case are $\Omega_{de}=0.718\pm0.022$,
$w_0=-1.15^{+0.14}_{-0.16}$, $c_a^2=-1.15^{+0.02}_{-0.46}$,
$\Omega_bh^2=0.0220\pm0.0005$, $\Omega_{cdm}h^2=0.121\pm0.004$,
$h=0.713\pm0.027$, $n_s=0.958^{+0.014}_{-0.010}$,
$A_s=(2.215^{+0.093}_{-0.101})\cdot10^{-9}$,
$\tau_{rei}=0.093^{+0.022}_{-0.028}$. For this dataset, the $\Lambda$CDM model
is just outside the 2$\sigma$ confidence region, while for the dataset
WMAP9{+}HST{+}BAO{+}SNLS3 the $\Lambda$CDM model is only 1$\sigma$ away from
the best fit. The tension in the determination of some cosmological parameters
on the basis of two CMB datasets WMAP9 and Planck-2013 is highlighted.
