My two cents here is the classic answer - it depends. If you need general "reasoning" capabilities, I see this being a strong possibility. If you need specific, factual information baked into the weights themselves, you'll need something large enough to store that data.

I think the best of both worlds is a sufficiently capable reasoning model with access to external tools and data that can perform CPU-based lookups for information that it doesn't possess.