Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
GPT-4o is clearly ahead on the aggregate, 60 to 32. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-4o is also the more expensive model on tokens at $2.50 input / $10.00 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. GPT-4o gives you the larger context window at 128K, compared with 32K for DBRX Instruct.
Pick GPT-4o if you want the stronger benchmark profile. DBRX Instruct only becomes the better choice if coding is the priority or you want the cheaper token bill.
GPT-4o
53.8
DBRX Instruct
73.7
GPT-4o
38.7
DBRX Instruct
70.1
GPT-4o is ahead overall, 60 to 32. The biggest single separator in this matchup is HumanEval, where the scores are 58 and 70.1.
DBRX Instruct has the edge for knowledge tasks in this comparison, averaging 73.7 versus 53.8. Inside this category, MMLU is the benchmark that creates the most daylight between them.
DBRX Instruct has the edge for coding in this comparison, averaging 70.1 versus 38.7. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
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