If you care about the things terminal bench cares about, yes. Sonnet was probably trained aggressively on agentic coding and things that align well with deepswe and terminal bench and or tuned heavily for those tasks. Sonnet is an agent likely to do more of those tasks and be given the more grunt work tasks. Whilst Opus' wider knowledge pool means it can deal with a much higher variety of real world situations successfully. And, those benches are often timed or limited. Opus may have been running out of time. Looots of factors.
I just think that this benchmark measures what it say it does, and if the model is unable or unwilling to deliver, it's reflected in the score.
(incidentally I found that generating code with Sonnet agent and having Opus orchestrate and manage the process works best for me - right model for the right task - the results run in the places and the way it's okay. No one outside uses it :p)
I agree with your point - IMO lower Opus score in these suggests that in general it's worse for these tasks. Not that it's a worse model in general.
But yeah, it does, but from my perspective it measured the Opus performance - subpar in some tasks because it downgraded itself rerouting to a much weaker model.
So both you're right, it matters because it wasn't the model examined, and it doesn't matter because the score reflects nerfed experience resulting in nerfed results.
Anthropic made it that way, and I'd say the lower score is accurate.