Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Claude Opus 4.6 is clearly ahead on the aggregate, 90 to 33. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Opus 4.6's sharpest advantage is in mathematics, where it averages 97.3 against 86. The single biggest benchmark swing on the page is GPQA, 97 to 79.
o1-pro is also the more expensive model on tokens at $150.00 input / $600.00 output per 1M tokens, versus $15.00 input / $75.00 output per 1M tokens for Claude Opus 4.6. That is roughly 8.0x on output cost alone. o1-pro is the reasoning model in the pair, while Claude Opus 4.6 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Claude Opus 4.6 gives you the larger context window at 1M, compared with 200K for o1-pro.
Pick Claude Opus 4.6 if you want the stronger benchmark profile. o1-pro only becomes the better choice if you want the stronger reasoning-first profile.
Claude Opus 4.6
85.7
o1-pro
79
Claude Opus 4.6
97.3
o1-pro
86
Claude Opus 4.6 is ahead overall, 90 to 33. The biggest single separator in this matchup is GPQA, where the scores are 97 and 79.
Claude Opus 4.6 has the edge for knowledge tasks in this comparison, averaging 85.7 versus 79. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Claude Opus 4.6 has the edge for math in this comparison, averaging 97.3 versus 86. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
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