Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5.2 Instant is clearly ahead on the aggregate, 85 to 37. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.2 Instant's sharpest advantage is in multimodal & grounded, where it averages 93.1 against 35.6. The single biggest benchmark swing on the page is MMMU-Pro, 94 to 36.
GPT-5.2 Instant is also the more expensive model on tokens at $1.50 input / $6.00 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 Instant 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 Instant gives you the larger context window at 128K, compared with 32K for DBRX Instruct.
Pick GPT-5.2 Instant 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 Instant
79.6
DBRX Instruct
34.3
GPT-5.2 Instant
75.5
DBRX Instruct
48
GPT-5.2 Instant
93.1
DBRX Instruct
35.6
GPT-5.2 Instant
90.9
DBRX Instruct
36.4
GPT-5.2 Instant
79.8
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 Instant
94.4
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 Instant is ahead overall, 85 to 37. The biggest single separator in this matchup is MMMU-Pro, where the scores are 94 and 36.
GPT-5.2 Instant has the edge for knowledge tasks in this comparison, averaging 79.8 versus 52. Inside this category, FrontierScience is the benchmark that creates the most daylight between them.
GPT-5.2 Instant has the edge for coding in this comparison, averaging 75.5 versus 48. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
GPT-5.2 Instant has the edge for reasoning in this comparison, averaging 90.9 versus 36.4. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
GPT-5.2 Instant has the edge for agentic tasks in this comparison, averaging 79.6 versus 34.3. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
GPT-5.2 Instant has the edge for multimodal and grounded tasks in this comparison, averaging 93.1 versus 35.6. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
GPT-5.2 Instant has the edge for multilingual tasks in this comparison, averaging 94.4 versus 46. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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