Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.2
81
Nemotron 3 Nano Omni 30B A3B
56
Pick GPT-5.2 if you want the stronger benchmark profile. Nemotron 3 Nano Omni 30B A3B only becomes the better choice if you want the cheaper token bill.
Coding
+11.2 difference
Knowledge
+16.9 difference
Multimodal
+4.0 difference
GPT-5.2
Nemotron 3 Nano Omni 30B A3B
$1.75 / $14
$0 / $0
73 t/s
N/A
130.34s
N/A
400K
256K
Pick GPT-5.2 if you want the stronger benchmark profile. Nemotron 3 Nano Omni 30B A3B only becomes the better choice if you want the cheaper token bill.
GPT-5.2 is clearly ahead on the provisional aggregate, 81 to 56. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.2's sharpest advantage is in knowledge, where it averages 92.4 against 75.5. The single biggest benchmark swing on the page is GPQA, 92.4% to 72.2%.
GPT-5.2 is also the more expensive model on tokens at $1.75 input / $14.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Nemotron 3 Nano Omni 30B A3B. That is roughly Infinityx on output cost alone. GPT-5.2 gives you the larger context window at 400K, compared with 256K for Nemotron 3 Nano Omni 30B A3B.
GPT-5.2 is ahead on BenchLM's provisional leaderboard, 81 to 56. The biggest single separator in this matchup is GPQA, where the scores are 92.4% and 72.2%.
GPT-5.2 has the edge for knowledge tasks in this comparison, averaging 92.4 versus 75.5. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GPT-5.2 has the edge for coding in this comparison, averaging 64.7 versus 53.5. Nemotron 3 Nano Omni 30B A3B stays close enough that the answer can still flip depending on your workload.
GPT-5.2 has the edge for multimodal and grounded tasks in this comparison, averaging 80.3 versus 76.3. Inside this category, CharXiv is the benchmark that creates the most daylight between them.
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