Earlier quoted context omitted.
> Given that for a number of these benchmarks, it seems to be barely competitive with the previous gen We're not reading the same numbers I think. Compared to Opus 4.6, it's a big jump nearly in every single bench GP posted. They're "only" catching up to Google's Gemini on GPQA and MMMLU but they're still beating their own Opus 4.6 results on these two. This sounds like a much better model than Opus 4.6.
> We're not reading the same numbers I think. We must not be. That's why I listed out the ones where it is barely competitive from @babelfish's table, which itself is extracted from Pg 186 & 187 of the System Card, which has the comparison with Opus 4.6, GPT 5.4 and Gemini 3.1 Pro. Sure, it may be better than Opus 4.6 on some of those, but barely achieves a small increase over GPT-5.4 on the ones I called out.
It's higher than all other models except vs Gemini 3.1 Pro on MMMLU
MMMLU is generally thought to be maxed out - as it it might not be possible to score higher than those scores.
> Overall, they estimated that 6.5% of questions in MMLU contained an error, suggesting the maximum attainable score was significantly below 100%[1]
Other models get close on GPQA Diamond, but it wouldn't be surprising to anyone if the max possible on that was around the 95% the top models are scoring.