Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GLM-4.5-Air has the cleaner overall profile here, landing at 35 versus 32. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
GLM-4.5-Air's sharpest advantage is in multimodal & grounded, where it averages 39.6 against 32.4. The single biggest benchmark swing on the page is MRCRv2, 51 to 41. Ministral 3 8B 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-Air if you want the stronger benchmark profile. Ministral 3 8B only becomes the better choice if multilingual is the priority.
GLM-4.5-Air
30.3
Ministral 3 8B
28.9
GLM-4.5-Air
14.6
Ministral 3 8B
14.2
GLM-4.5-Air
39.6
Ministral 3 8B
32.4
GLM-4.5-Air
42.6
Ministral 3 8B
36.1
GLM-4.5-Air
31.1
Ministral 3 8B
28
GLM-4.5-Air
68
Ministral 3 8B
69
GLM-4.5-Air
59.1
Ministral 3 8B
61.7
GLM-4.5-Air
44.4
Ministral 3 8B
43.3
GLM-4.5-Air is ahead overall, 35 to 32. The biggest single separator in this matchup is MRCRv2, where the scores are 51 and 41.
GLM-4.5-Air has the edge for knowledge tasks in this comparison, averaging 31.1 versus 28. Inside this category, MMLU is the benchmark that creates the most daylight between them.
GLM-4.5-Air has the edge for coding in this comparison, averaging 14.6 versus 14.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
GLM-4.5-Air has the edge for math in this comparison, averaging 44.4 versus 43.3. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
GLM-4.5-Air has the edge for reasoning in this comparison, averaging 42.6 versus 36.1. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
GLM-4.5-Air has the edge for agentic tasks in this comparison, averaging 30.3 versus 28.9. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
GLM-4.5-Air has the edge for multimodal and grounded tasks in this comparison, averaging 39.6 versus 32.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Ministral 3 8B has the edge for instruction following in this comparison, averaging 69 versus 68. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Ministral 3 8B has the edge for multilingual tasks in this comparison, averaging 61.7 versus 59.1. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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