Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-4.7
70
Nemotron 3 Nano Omni 30B A3B
56
Pick GLM-4.7 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 need the larger 256K context window.
Coding
+17.1 difference
Knowledge
+14.9 difference
Math
+13.6 difference
GLM-4.7
Nemotron 3 Nano Omni 30B A3B
$0 / $0
$0 / $0
82 t/s
N/A
1.10s
N/A
200K
256K
Pick GLM-4.7 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 need the larger 256K context window.
GLM-4.7 is clearly ahead on the provisional aggregate, 70 to 56. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-4.7's sharpest advantage is in coding, where it averages 70.6 against 53.5. The single biggest benchmark swing on the page is LiveCodeBench, 84.9% to 63.2%. 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.
Nemotron 3 Nano Omni 30B A3B gives you the larger context window at 256K, compared with 200K for GLM-4.7.
GLM-4.7 is ahead on BenchLM's provisional leaderboard, 70 to 56. The biggest single separator in this matchup is LiveCodeBench, where the scores are 84.9% and 63.2%.
Nemotron 3 Nano Omni 30B A3B has the edge for knowledge tasks in this comparison, averaging 75.5 versus 60.6. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GLM-4.7 has the edge for coding in this comparison, averaging 70.6 versus 53.5. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
GLM-4.7 has the edge for math in this comparison, averaging 95.7 versus 82.1. Inside this category, AIME 2025 is the benchmark that creates the most daylight between them.
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