Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
DeepSeekMath V2 is clearly ahead on the aggregate, 71 to 32. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeekMath V2 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. DeepSeekMath V2 gives you the larger context window at 128K, compared with 32K for DBRX Instruct.
Pick DeepSeekMath V2 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.
DeepSeekMath V2
67.2
DBRX Instruct
73.7
DeepSeekMath V2
53.7
DBRX Instruct
70.1
DeepSeekMath V2 is ahead overall, 71 to 32. The biggest single separator in this matchup is MMLU, where the scores are 80 and 73.7.
DBRX Instruct has the edge for knowledge tasks in this comparison, averaging 73.7 versus 67.2. 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 53.7. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.