Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
GPT-4o mini is clearly ahead on the aggregate, 43 to 32. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-4o mini's sharpest advantage is in coding, where it averages 87.2 against 70.1. The single biggest benchmark swing on the page is HumanEval, 87.2 to 70.1.
GPT-4o mini is also the more expensive model on tokens at $0.15 input / $0.60 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 mini gives you the larger context window at 128K, compared with 32K for DBRX Instruct.
Pick GPT-4o mini if you want the stronger benchmark profile. DBRX Instruct only becomes the better choice if you want the cheaper token bill.
GPT-4o mini
82
DBRX Instruct
73.7
GPT-4o mini
87.2
DBRX Instruct
70.1
GPT-4o mini is ahead overall, 43 to 32. The biggest single separator in this matchup is HumanEval, where the scores are 87.2 and 70.1.
GPT-4o mini has the edge for knowledge tasks in this comparison, averaging 82 versus 73.7. Inside this category, MMLU is the benchmark that creates the most daylight between them.
GPT-4o mini has the edge for coding in this comparison, averaging 87.2 versus 70.1. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
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