> The little 10% reasoning performance decrease seems worth it
We need about three orders of magnitude more tests to make these numbers meaningful.
We need about three orders of magnitude more tests to make these numbers meaningful.
Anecdotally, I can say that my personal experience with the model is in line with what the benchmarks claim: It’s a bit smarter than R1, a bit faster than R1, much faster than R1-0528, but not quite as smart. (Faster meaning less output tokens). For me, it’s at a sweet spot and I use it as daily driver.