Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.4 mini
72
Nemotron 3 Nano Omni 30B A3B
56
Pick GPT-5.4 mini if you want the stronger benchmark profile. Nemotron 3 Nano Omni 30B A3B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Knowledge
+18.1 difference
Multimodal
+0.3 difference
GPT-5.4 mini
Nemotron 3 Nano Omni 30B A3B
$0.75 / $4.5
$0 / $0
201 t/s
N/A
3.85s
N/A
400K
256K
Pick GPT-5.4 mini if you want the stronger benchmark profile. Nemotron 3 Nano Omni 30B A3B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
GPT-5.4 mini is clearly ahead on the provisional aggregate, 72 to 56. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4 mini's sharpest advantage is in multimodal & grounded, where it averages 76.6 against 76.3. The single biggest benchmark swing on the page is GPQA, 88% to 72.2%. Nemotron 3 Nano Omni 30B A3B does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
GPT-5.4 mini is also the more expensive model on tokens at $0.75 input / $4.50 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 mini gives you the larger context window at 400K, compared with 256K for Nemotron 3 Nano Omni 30B A3B.
GPT-5.4 mini is ahead on BenchLM's provisional leaderboard, 72 to 56. The biggest single separator in this matchup is GPQA, where the scores are 88% and 72.2%.
Nemotron 3 Nano Omni 30B A3B has the edge for knowledge tasks in this comparison, averaging 75.5 versus 57.4. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GPT-5.4 mini has the edge for multimodal and grounded tasks in this comparison, averaging 76.6 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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