Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
o1-pro finishes one point ahead overall, 33 to 32. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
o1-pro's sharpest advantage is in knowledge, where it averages 79 against 73.7.
o1-pro is also the more expensive model on tokens at $150.00 input / $600.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for DBRX Instruct. That is roughly Infinityx on output cost alone. o1-pro is the reasoning model in the pair, while DBRX Instruct 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. o1-pro gives you the larger context window at 200K, compared with 32K for DBRX Instruct.
Pick o1-pro if you want the stronger benchmark profile. DBRX Instruct only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
o1-pro
79
DBRX Instruct
73.7
o1-pro is ahead overall, 33 to 32.
o1-pro has the edge for knowledge tasks in this comparison, averaging 79 versus 73.7. DBRX Instruct stays close enough that the answer can still flip depending on your workload.
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