Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
MiniMax M2.5 is clearly ahead on the aggregate, 66 to 32. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiniMax M2.5 is also the more expensive model on tokens at $0.30 input / $1.20 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. MiniMax M2.5 gives you the larger context window at 128K, compared with 32K for DBRX Instruct.
Pick MiniMax M2.5 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.
MiniMax M2.5
61
DBRX Instruct
73.7
MiniMax M2.5
48.3
DBRX Instruct
70.1
MiniMax M2.5 is ahead overall, 66 to 32. The biggest single separator in this matchup is HumanEval, where the scores are 65 and 70.1.
DBRX Instruct has the edge for knowledge tasks in this comparison, averaging 73.7 versus 61. 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 48.3. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
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