The organization which defines the SI is the Bureau Internationale de Poids et Mesures (BIPM). The current version of the SI brochure contains the definitive answer to your question (page 132):
The previous definition of the ampere was based on the force between two current carrying conductors and had the effect of fixing the value of the vacuum magnetic permeability $μ_0$ (also known as the magnetic constant) to be exactly $\rm 4π × 10^{−7}\, H\, m^{−1} = 4π × 10^{−7}\, N\, A^{−2}$, where H and N denote the coherent derived units henry and newton, respectively. The new definition of the ampere fixes the value of $e$ instead of $μ_0$. As a result, $μ_0$ must be determined experimentally.
It also follows that since the vacuum electric permittivity $ε_0$ (also known as the electric constant), the characteristic impedance of vacuum $Z_0$, and the admittance of vacuum $Y_0$ are equal to $1/μ_0c^2$, $μ_0c$, and $1/μ_0c$, respectively, the values of $ε_0$, $Z_0$, and $Y_0$ must now also be determined experimentally, and are affected by the same relative standard uncertainty as $μ_0$ since $c$ is exactly known. The product $ε_0μ_0 = 1/c^2$ and quotient $Z_0/μ_0 = c$ remain exact. At the time of adopting the present definition of the ampere, $μ_0$ was equal to $\rm 4π × 10^{−7}\, H/m$ with a relative standard uncertainty of $2.3 × 10^{−10}$.
(Minor comment: somehow copy-pasting has converted all of the $\epsilon$ and $\mu$ into an upright typeface.)
Citing the 2018 CODATA recommendations,
the NIST Constants Database gives for $\mu_0$,
$$
\begin{align}
\mu_0 &= 1.256\,637\,062\,12(19)\times10^{-6} \rm \, N\, A^{-2}
\\
\frac{\mu_0}{4\pi\times10^{-7}\rm\,N\,A^{-2}}
&= 1 + (540\pm150)\times10^{-12}
\tag{NIST}
\end{align}
$$
Note that the BIPM text basically says
$$
\frac{\mu_0}{4\pi\cdots} = 1 + (0 \pm 230)\times10^{-12}
\tag{BIPM}
$$
so the BIPM and NIST/CODATA results are really only about two standard deviations apart.
The 2018 CODATA analysis, which is basically an enormous least-squares fit to the entire fundamental-constants literature, became available on 20 May 2019, which was also the effective date of the new SI. There is a long journal article describing the analysis leading to each set of CODATA recommended values, some of which are open-access.
It looks like this 2017 analysis was the basis of the BIPM's SI brochure quoted above, but the 2018 values include literature through part
or all of 2018.
The 2014 paper (pdf link) contains a much more complete description of the method.
Another answer here (in its v1) quotes from Wikipedia a slightly different value
$$
\frac{\mu_0}{4\pi\cdots}-1
\overset{?}{=}
(820\pm200)\times10^{-12}
\tag{2018}
$$
This value is found by using a 2018 result for the fine-structure constant and the definition $\mu_0 = 4\pi\alpha\hbar/e^2c$ using the new SI values. This result was published before the CODATA-2018 cutoff, and is therefore already included, averaged with all other world data, in the NIST result quoted above. People who aren't in the fundamental-constants business should probably use the NIST result.
There is a 2020 measurement of the fine-structure constant which reduces the relative uncertainty on $\alpha$ (and therefore on $\mu_0$) from $150\times10^{-12}$ to $81\times10^{-12}$. However the new result "differs by more than 5 standard deviations from the best available result [2018] from caesium recoil measurements," giving
$$
\frac{\mu_0}{4\pi\cdots}-1
\overset{?}{=}
(-345\pm81)\times10^{-12}
\tag{2020}
$$
In general, when there is this much tension between experimental results, a data-aggregating body like CODATA will end up with inflated uncertainties in the best-fit analysis. You can stay tuned for future measurements and CODATA-2022, but the action seems to be in measurements of $\alpha$ rather than measurements of $\mu_0$.