Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude 4 Sonnet
50
Nemotron 3 Nano Omni 30B A3B
48
Pick Claude 4 Sonnet 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 or you need the larger 256K context window.
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 Claude 4 Sonnet 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 or you need the larger 256K context window.
Claude 4 Sonnet has the cleaner provisional overall profile here, landing at 50 versus 48. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Claude 4 Sonnet's sharpest advantage is in coding, where it averages 72.7 against 53.5.
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.
Claude 4 Sonnet is ahead on BenchLM's provisional leaderboard, 50 to 48.
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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