Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GLM-5 is clearly ahead on the aggregate, 65 to 61. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-5's sharpest advantage is in mathematics, where it averages 84.8 against 74.6. The single biggest benchmark swing on the page is HumanEval, 80 to 59. Nemotron 3 Super 120B A12B does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Nemotron 3 Super 120B A12B gives you the larger context window at 256K, compared with 200K for GLM-5.
Pick GLM-5 if you want the stronger benchmark profile. Nemotron 3 Super 120B A12B only becomes the better choice if coding is the priority or you need the larger 256K context window.
GLM-5
62.3
Nemotron 3 Super 120B A12B
55.3
GLM-5
41.1
Nemotron 3 Super 120B A12B
44.2
GLM-5
69.2
Nemotron 3 Super 120B A12B
60.4
GLM-5
79.4
Nemotron 3 Super 120B A12B
71.8
GLM-5
62.1
Nemotron 3 Super 120B A12B
55.8
GLM-5
85
Nemotron 3 Super 120B A12B
86
GLM-5
82.1
Nemotron 3 Super 120B A12B
81.5
GLM-5
84.8
Nemotron 3 Super 120B A12B
74.6
GLM-5 is ahead overall, 65 to 61. The biggest single separator in this matchup is HumanEval, where the scores are 80 and 59.
GLM-5 has the edge for knowledge tasks in this comparison, averaging 62.1 versus 55.8. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Nemotron 3 Super 120B A12B has the edge for coding in this comparison, averaging 44.2 versus 41.1. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
GLM-5 has the edge for math in this comparison, averaging 84.8 versus 74.6. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
GLM-5 has the edge for reasoning in this comparison, averaging 79.4 versus 71.8. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
GLM-5 has the edge for agentic tasks in this comparison, averaging 62.3 versus 55.3. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
GLM-5 has the edge for multimodal and grounded tasks in this comparison, averaging 69.2 versus 60.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Nemotron 3 Super 120B A12B has the edge for instruction following in this comparison, averaging 86 versus 85. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GLM-5 has the edge for multilingual tasks in this comparison, averaging 82.1 versus 81.5. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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