Let $S^2$ be a unit sphere in the Euclidean metric. Consider $S^2$ as a subset of $\mathbb{R}^3$ with an arbitrary metric $d$. Now, we would like to compute the diameter of $S^2$ with respect to the metric $d$. Is it always true that the diameter is the distance between antipodal points of $S^2$ or should we assume something about the metric (e.g. translational invariance etc.)?
This statement is obviously true for Euclidean metric, Manhattan metric, discrete metric and the maximum metric, but is true in general? Any hints?

There is no reason for anything like this to be true for arbitrary metric. For example, consider the metric $$ \hat{d}(v,w):=\sqrt{(v_1-w_1)^2+2(v_2-w_2)^2+(v_3-w_3)^2}. $$ There is only one pair of points at which the diameter is attained, namely, $(0,1,0)$ and (0,-1,0). These happen to be antipodal, so $\hat{d}$ does not quite qualify. However, we can slightly distort it by putting $d(v,w):=\hat{d}(f(v),f(w))$, where $f:\mathbb{R}^3\mapsto\mathbb{R}^3$ is the bijection that reads, in spherical coordinates, $$ f:(r,\theta,\varphi)\mapsto (r,\theta+\frac{1}{2}\cos \theta,\varphi). $$ (here $\theta$ denotes the latitude). The diameter is now attained at the preimages of the above points, that both lie in the lower hemisphere, and thus are not antipodal.
In the positive direction, if your metric satisfies $2d(0,v)\equiv d(v,-v)$, then the conclusion is true. Indeed, if the diameter is attained at $u,w$, then, by the triangle inequality, either $d(u,0)$ or $d(v,0)$ is at least half of the diameter. But then $d(u,-u)$ (resp., $d(v,-v)$) is at least diameter. In particular, this will be true for any norm-induced metric.