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 48. 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 44.7. The single biggest benchmark swing on the page is MMMU-Pro, 94 to 37.
GPT-5.2 Instant gives you the larger context window at 128K, compared with 32K for Nemotron Ultra 253B.
Pick GPT-5.2 Instant if you want the stronger benchmark profile. Nemotron Ultra 253B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
GPT-5.2 Instant
79.6
Nemotron Ultra 253B
46.7
GPT-5.2 Instant
75.5
Nemotron Ultra 253B
33.7
GPT-5.2 Instant
93.1
Nemotron Ultra 253B
44.7
GPT-5.2 Instant
90.9
Nemotron Ultra 253B
53.3
GPT-5.2 Instant
79.8
Nemotron Ultra 253B
42.4
GPT-5.2 Instant
95
Nemotron Ultra 253B
78
GPT-5.2 Instant
94.4
Nemotron Ultra 253B
70.1
GPT-5.2 Instant
97.2
Nemotron Ultra 253B
59.7
GPT-5.2 Instant is ahead overall, 85 to 48. The biggest single separator in this matchup is MMMU-Pro, where the scores are 94 and 37.
GPT-5.2 Instant has the edge for knowledge tasks in this comparison, averaging 79.8 versus 42.4. Inside this category, MMLU 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 33.7. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
GPT-5.2 Instant has the edge for math in this comparison, averaging 97.2 versus 59.7. Inside this category, AIME 2023 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 53.3. Inside this category, SimpleQA 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 46.7. Inside this category, Terminal-Bench 2.0 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 44.7. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
GPT-5.2 Instant has the edge for instruction following in this comparison, averaging 95 versus 78. Inside this category, IFEval 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 70.1. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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