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 59. 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 coding, where it averages 75.5 against 41.3. The single biggest benchmark swing on the page is MMMU-Pro, 94 to 55.
GPT-5.2 Instant is the reasoning model in the pair, while Nemotron 3 Super 100B 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. Nemotron 3 Super 100B gives you the larger context window at 1M, compared with 128K for GPT-5.2 Instant.
Pick GPT-5.2 Instant if you want the stronger benchmark profile. Nemotron 3 Super 100B only becomes the better choice if you need the larger 1M context window or you would rather avoid the extra latency and token burn of a reasoning model.
GPT-5.2 Instant
79.6
Nemotron 3 Super 100B
56.6
GPT-5.2 Instant
75.5
Nemotron 3 Super 100B
41.3
GPT-5.2 Instant
93.1
Nemotron 3 Super 100B
60.4
GPT-5.2 Instant
90.9
Nemotron 3 Super 100B
69.5
GPT-5.2 Instant
79.8
Nemotron 3 Super 100B
52.8
GPT-5.2 Instant
95
Nemotron 3 Super 100B
84
GPT-5.2 Instant
94.4
Nemotron 3 Super 100B
79.5
GPT-5.2 Instant
97.2
Nemotron 3 Super 100B
72.6
GPT-5.2 Instant is ahead overall, 85 to 59. The biggest single separator in this matchup is MMMU-Pro, where the scores are 94 and 55.
GPT-5.2 Instant has the edge for knowledge tasks in this comparison, averaging 79.8 versus 52.8. 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 41.3. Inside this category, LiveCodeBench 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 72.6. 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 69.5. 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 56.6. 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 60.4. 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 84. 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 79.5. Inside this category, MMLU-ProX 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.