Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude 4 Sonnet
51
Nemotron 3 Nano Omni 30B A3B
56
Pick Nemotron 3 Nano Omni 30B A3B if you want the stronger benchmark profile. Claude 4 Sonnet only becomes the better choice if coding is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Coding
+19.2 difference
Claude 4 Sonnet
Nemotron 3 Nano Omni 30B A3B
$3 / $15
$0 / $0
40 t/s
N/A
1.33s
N/A
200K
256K
Pick Nemotron 3 Nano Omni 30B A3B if you want the stronger benchmark profile. Claude 4 Sonnet only becomes the better choice if coding is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Nemotron 3 Nano Omni 30B A3B is clearly ahead on the provisional aggregate, 56 to 51. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude 4 Sonnet is also the more expensive model on tokens at $3.00 input / $15.00 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. Nemotron 3 Nano Omni 30B A3B is the reasoning model in the pair, while Claude 4 Sonnet 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 Nano Omni 30B A3B gives you the larger context window at 256K, compared with 200K for Claude 4 Sonnet.
Nemotron 3 Nano Omni 30B A3B is ahead on BenchLM's provisional leaderboard, 56 to 51.
Claude 4 Sonnet has the edge for coding in this comparison, averaging 72.7 versus 53.5. Nemotron 3 Nano Omni 30B A3B stays close enough that the answer can still flip depending on your workload.
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