Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
GPT-5 (high) is clearly ahead on the aggregate, 84 to 32. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5 (high)'s sharpest advantage is in knowledge, where it averages 78.3 against 73.7. The single biggest benchmark swing on the page is MMLU, 93 to 73.7.
GPT-5 (high) 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. GPT-5 (high) gives you the larger context window at 128K, compared with 32K for DBRX Instruct.
Pick GPT-5 (high) if you want the stronger benchmark profile. DBRX Instruct only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
GPT-5 (high)
78.3
DBRX Instruct
73.7
GPT-5 (high)
71.3
DBRX Instruct
70.1
GPT-5 (high) is ahead overall, 84 to 32. The biggest single separator in this matchup is MMLU, where the scores are 93 and 73.7.
GPT-5 (high) has the edge for knowledge tasks in this comparison, averaging 78.3 versus 73.7. Inside this category, MMLU is the benchmark that creates the most daylight between them.
GPT-5 (high) has the edge for coding in this comparison, averaging 71.3 versus 70.1. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
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