Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.4 Pro
91
Nemotron 3 Nano Omni 30B A3B
56
Pick GPT-5.4 Pro if you want the stronger benchmark profile. Nemotron 3 Nano Omni 30B A3B only becomes the better choice if mathematics is the priority or you want the cheaper token bill.
Knowledge
+26.5 difference
Math
+32.1 difference
Multimodal
+17.7 difference
GPT-5.4 Pro
Nemotron 3 Nano Omni 30B A3B
$30 / $180
$0 / $0
74 t/s
N/A
151.79s
N/A
1.05M
256K
Pick GPT-5.4 Pro if you want the stronger benchmark profile. Nemotron 3 Nano Omni 30B A3B only becomes the better choice if mathematics is the priority or you want the cheaper token bill.
GPT-5.4 Pro is clearly ahead on the provisional aggregate, 91 to 56. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4 Pro's sharpest advantage is in multimodal & grounded, where it averages 94 against 76.3. Nemotron 3 Nano Omni 30B A3B does hit back in mathematics, so the answer changes if that is the part of the workload you care about most.
GPT-5.4 Pro is also the more expensive model on tokens at $30.00 input / $180.00 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-5.4 Pro gives you the larger context window at 1.05M, compared with 256K for Nemotron 3 Nano Omni 30B A3B.
GPT-5.4 Pro is ahead on BenchLM's provisional leaderboard, 91 to 56.
Nemotron 3 Nano Omni 30B A3B has the edge for knowledge tasks in this comparison, averaging 75.5 versus 49. GPT-5.4 Pro stays close enough that the answer can still flip depending on your workload.
Nemotron 3 Nano Omni 30B A3B has the edge for math in this comparison, averaging 82.1 versus 50. GPT-5.4 Pro stays close enough that the answer can still flip depending on your workload.
GPT-5.4 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 94 versus 76.3. Nemotron 3 Nano Omni 30B A3B stays close enough that the answer can still flip depending on your workload.
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