Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
o3 is clearly ahead on the aggregate, 76 to 32. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o3 is also the more expensive model on tokens at $10.00 input / $40.00 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. o3 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. o3 gives you the larger context window at 200K, compared with 32K for DBRX Instruct.
Pick o3 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.
o3
73.3
DBRX Instruct
73.7
o3
56
DBRX Instruct
70.1
o3 is ahead overall, 76 to 32. The biggest single separator in this matchup is MMLU, where the scores are 86 and 73.7.
DBRX Instruct has the edge for knowledge tasks in this comparison, averaging 73.7 versus 73.3. 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 56. 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.