I was comparing a gtx285 with a gtx560ti.
texture fill rate: gtx285 - 51.8, gtx560ti - 52.5
pixel fill rate: gtx285 - 21.4 gtx560ti - 26.3
memory size: both 1 gig
memory bandwidth: gtx285 - 159 gb/s, gtx560ti - 128 gb/s
I think the different architectures makes it an even more valid comparison, because the point I was trying to make originally was that Nvidia has been able to improve their current mid-range offering's performance over their previous flagship, despite having lower memory bandwidth.
EDIT: And we really don't know how similar Kepler and GCN are. There have not been any white papers or technical analysis done on Kepler. GCN has quite a bit in common with Fermi, but Kepler is obviously not Fermi. Even still, as similar as Kepler and GCN might be, the fundamental designs of both architectures are very different, and thus are doing very different things internally to come to the same result. Different cores, different cache sizes, I really could go on and on so I personally don't see how comparing a GT200 to Fermi and Fermi to Kepler is any less valid than comparing Kepler to GCN. I think comparing the same company's own architectures against one another is the best way to predict future performance. Just like one wouldn't predict Ivy Bridge's performance based on bulldozer, or Piledriver's performance based on Ivy Bridge.