Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-5.2
94
Nemotron 3 Nano Omni 30B A3B
48
Verified leaderboard positions: GLM-5.2 #9 · Nemotron 3 Nano Omni 30B A3B unranked
Pick GLM-5.2 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.
Coding
+8.6 difference
Knowledge
+8.3 difference
GLM-5.2
Nemotron 3 Nano Omni 30B A3B
$1.4 / $4.4
$0 / $0
N/A
N/A
N/A
N/A
1M
256K
Pick GLM-5.2 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.
GLM-5.2 is clearly ahead on the provisional aggregate, 94 to 48. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-5.2's sharpest advantage is in coding, where it averages 62.1 against 53.5. The single biggest benchmark swing on the page is GPQA, 91.2% 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.
GLM-5.2 is also the more expensive model on tokens at $1.40 input / $4.40 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. GLM-5.2 gives you the larger context window at 1M, compared with 256K for Nemotron 3 Nano Omni 30B A3B.
GLM-5.2 is ahead on BenchLM's provisional leaderboard, 94 to 48. The biggest single separator in this matchup is GPQA, where the scores are 91.2% and 72.2%.
Nemotron 3 Nano Omni 30B A3B has the edge for knowledge tasks in this comparison, averaging 75.5 versus 67.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GLM-5.2 has the edge for coding in this comparison, averaging 62.1 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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