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 32. 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 multimodal & grounded, where it averages 41 against 32.4. The single biggest benchmark swing on the page is MRCRv2, 52 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 if you want the stronger benchmark profile. Ministral 3 8B only becomes the better choice if multilingual is the priority.
GLM-4.5
31.3
Ministral 3 8B
28.9
GLM-4.5
14.4
Ministral 3 8B
14.2
GLM-4.5
41
Ministral 3 8B
32.4
GLM-4.5
43.8
Ministral 3 8B
36.1
GLM-4.5
32
Ministral 3 8B
28
GLM-4.5
68
Ministral 3 8B
69
GLM-4.5
58.1
Ministral 3 8B
61.7
GLM-4.5
45.5
Ministral 3 8B
43.3
GLM-4.5 is ahead overall, 36 to 32. The biggest single separator in this matchup is MRCRv2, where the scores are 52 and 41.
GLM-4.5 has the edge for knowledge tasks in this comparison, averaging 32 versus 28. 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 14.2. 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 43.3. 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 36.1. 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 28.9. 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 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 58.1. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.