Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Kimi K2.5 (Reasoning) is clearly ahead on the aggregate, 82 to 32. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Kimi K2.5 (Reasoning)'s sharpest advantage is in knowledge, where it averages 77.3 against 73.7. The single biggest benchmark swing on the page is MMLU, 92 to 73.7. DBRX Instruct does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Kimi K2.5 (Reasoning) 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. Kimi K2.5 (Reasoning) gives you the larger context window at 128K, compared with 32K for DBRX Instruct.
Pick Kimi K2.5 (Reasoning) if you want the stronger benchmark profile. DBRX Instruct only becomes the better choice if coding is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Kimi K2.5 (Reasoning)
77.3
DBRX Instruct
73.7
Kimi K2.5 (Reasoning)
69
DBRX Instruct
70.1
Kimi K2.5 (Reasoning) is ahead overall, 82 to 32. The biggest single separator in this matchup is MMLU, where the scores are 92 and 73.7.
Kimi K2.5 (Reasoning) has the edge for knowledge tasks in this comparison, averaging 77.3 versus 73.7. 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 69. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
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