Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GLM-4.5 is clearly ahead on the aggregate, 36 to 27. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-4.5's sharpest advantage is in reasoning, where it averages 43.8 against 30.1. The single biggest benchmark swing on the page is MRCRv2, 52 to 35. Ministral 3 3B does hit back in multilingual, so the answer changes if that is the part of the workload you care about most.
Pick GLM-4.5 if you want the stronger benchmark profile. Ministral 3 3B only becomes the better choice if multilingual is the priority.
GLM-4.5
31.3
Ministral 3 3B
22.9
GLM-4.5
14.4
Ministral 3 3B
6.2
GLM-4.5
41
Ministral 3 3B
30.4
GLM-4.5
43.8
Ministral 3 3B
30.1
GLM-4.5
32
Ministral 3 3B
24.5
GLM-4.5
68
Ministral 3 3B
67
GLM-4.5
58.1
Ministral 3 3B
59.7
GLM-4.5
45.5
Ministral 3 3B
36
GLM-4.5 is ahead overall, 36 to 27. The biggest single separator in this matchup is MRCRv2, where the scores are 52 and 35.
GLM-4.5 has the edge for knowledge tasks in this comparison, averaging 32 versus 24.5. Inside this category, MMLU is the benchmark that creates the most daylight between them.
GLM-4.5 has the edge for coding in this comparison, averaging 14.4 versus 6.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
GLM-4.5 has the edge for math in this comparison, averaging 45.5 versus 36. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
GLM-4.5 has the edge for reasoning in this comparison, averaging 43.8 versus 30.1. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
GLM-4.5 has the edge for agentic tasks in this comparison, averaging 31.3 versus 22.9. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
GLM-4.5 has the edge for multimodal and grounded tasks in this comparison, averaging 41 versus 30.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
GLM-4.5 has the edge for instruction following in this comparison, averaging 68 versus 67. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Ministral 3 3B has the edge for multilingual tasks in this comparison, averaging 59.7 versus 58.1. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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