Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Kimi K2.5 is clearly ahead on the aggregate, 68 to 32. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Kimi K2.5 is also the more expensive model on tokens at $0.50 input / $2.80 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. Kimi K2.5 gives you the larger context window at 128K, compared with 32K for DBRX Instruct.
Pick Kimi K2.5 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.
Kimi K2.5
64
DBRX Instruct
73.7
Kimi K2.5
49.3
DBRX Instruct
70.1
Kimi K2.5 is ahead overall, 68 to 32. The biggest single separator in this matchup is MMLU, where the scores are 77 and 73.7.
DBRX Instruct has the edge for knowledge tasks in this comparison, averaging 73.7 versus 64. 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 49.3. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
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