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 47. 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 26.5. The single biggest benchmark swing on the page is LiveCodeBench, 74 to 22.
GPT-5.2 Instant is the reasoning model in the pair, while Nemotron-4 15B 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 Nemotron-4 15B.
Pick GPT-5.2 Instant if you want the stronger benchmark profile. Nemotron-4 15B only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
GPT-5.2 Instant
79.6
Nemotron-4 15B
41.3
GPT-5.2 Instant
75.5
Nemotron-4 15B
26.5
GPT-5.2 Instant
93.1
Nemotron-4 15B
49.6
GPT-5.2 Instant
90.9
Nemotron-4 15B
53.4
GPT-5.2 Instant
79.8
Nemotron-4 15B
42.6
GPT-5.2 Instant
95
Nemotron-4 15B
79
GPT-5.2 Instant
94.4
Nemotron-4 15B
72.4
GPT-5.2 Instant
97.2
Nemotron-4 15B
61.1
GPT-5.2 Instant is ahead overall, 85 to 47. The biggest single separator in this matchup is LiveCodeBench, where the scores are 74 and 22.
GPT-5.2 Instant has the edge for knowledge tasks in this comparison, averaging 79.8 versus 42.6. 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 26.5. 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 61.1. 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 53.4. 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 41.3. 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 49.6. 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 79. 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 72.4. 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.