Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5.2 Pro is clearly ahead on the aggregate, 90 to 37. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.2 Pro's sharpest advantage is in multimodal & grounded, where it averages 96 against 35.6. The single biggest benchmark swing on the page is OfficeQA Pro, 96 to 35.
GPT-5.2 Pro is also the more expensive model on tokens at $25.00 input / $150.00 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. GPT-5.2 Pro 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. GPT-5.2 Pro gives you the larger context window at 400K, compared with 32K for DBRX Instruct.
Pick GPT-5.2 Pro if you want the stronger benchmark profile. DBRX Instruct only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
GPT-5.2 Pro
85.9
DBRX Instruct
34.3
GPT-5.2 Pro
84.8
DBRX Instruct
48
GPT-5.2 Pro
96
DBRX Instruct
35.6
GPT-5.2 Pro
95.2
DBRX Instruct
36.4
GPT-5.2 Pro
81.5
DBRX Instruct
52
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
GPT-5.2 Pro
93.4
DBRX Instruct
46
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
GPT-5.2 Pro is ahead overall, 90 to 37. The biggest single separator in this matchup is OfficeQA Pro, where the scores are 96 and 35.
GPT-5.2 Pro has the edge for knowledge tasks in this comparison, averaging 81.5 versus 52. Inside this category, FrontierScience is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for coding in this comparison, averaging 84.8 versus 48. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for reasoning in this comparison, averaging 95.2 versus 36.4. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for agentic tasks in this comparison, averaging 85.9 versus 34.3. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 96 versus 35.6. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for multilingual tasks in this comparison, averaging 93.4 versus 46. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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