Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-5.1
83
Nemotron 3 Nano Omni 30B A3B
56
Verified leaderboard positions: GLM-5.1 #21 · Nemotron 3 Nano Omni 30B A3B unranked
Pick GLM-5.1 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
+7.4 difference
Knowledge
+23.2 difference
GLM-5.1
Nemotron 3 Nano Omni 30B A3B
$1.4 / $4.4
$0 / $0
N/A
N/A
N/A
N/A
203K
256K
Pick GLM-5.1 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-5.1 is clearly ahead on the provisional aggregate, 83 to 56. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-5.1's sharpest advantage is in coding, where it averages 60.9 against 53.5. 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-5.1 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. Nemotron 3 Nano Omni 30B A3B gives you the larger context window at 256K, compared with 203K for GLM-5.1.
GLM-5.1 is ahead on BenchLM's provisional leaderboard, 83 to 56.
Nemotron 3 Nano Omni 30B A3B has the edge for knowledge tasks in this comparison, averaging 75.5 versus 52.3. Inside this category, GPQA-D is the benchmark that creates the most daylight between them.
GLM-5.1 has the edge for coding in this comparison, averaging 60.9 versus 53.5. Nemotron 3 Nano Omni 30B A3B stays close enough that the answer can still flip depending on your workload.
Estimates at 50,000 req/day · 1000 tokens/req average.
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