Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GLM-4.5 and Ministral 3 8B (Reasoning) finish on the same overall score, so this is less about a single winner and more about where the edge shows up. The headline says tie; the benchmark table is where the real choice happens.
Ministral 3 8B (Reasoning) is the reasoning model in the pair, while GLM-4.5 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use.
Treat this as a split decision. GLM-4.5 makes more sense if multimodal & grounded is the priority or you would rather avoid the extra latency and token burn of a reasoning model; Ministral 3 8B (Reasoning) is the better fit if agentic is the priority or you want the stronger reasoning-first profile.
GLM-4.5
31.3
Ministral 3 8B (Reasoning)
38.5
GLM-4.5
14.4
Ministral 3 8B (Reasoning)
15.2
GLM-4.5
41
Ministral 3 8B (Reasoning)
33.4
GLM-4.5
43.8
Ministral 3 8B (Reasoning)
42.1
GLM-4.5
32
Ministral 3 8B (Reasoning)
30
GLM-4.5
68
Ministral 3 8B (Reasoning)
70
GLM-4.5
58.1
Ministral 3 8B (Reasoning)
61.7
GLM-4.5
45.5
Ministral 3 8B (Reasoning)
47.8
GLM-4.5 and Ministral 3 8B (Reasoning) are tied on overall score, so the right pick depends on which category matters most for your use case.
GLM-4.5 has the edge for knowledge tasks in this comparison, averaging 32 versus 30. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Ministral 3 8B (Reasoning) has the edge for coding in this comparison, averaging 15.2 versus 14.4. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Ministral 3 8B (Reasoning) has the edge for math in this comparison, averaging 47.8 versus 45.5. Inside this category, MATH-500 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 42.1. Inside this category, BBH is the benchmark that creates the most daylight between them.
Ministral 3 8B (Reasoning) has the edge for agentic tasks in this comparison, averaging 38.5 versus 31.3. Inside this category, Terminal-Bench 2.0 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 33.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Ministral 3 8B (Reasoning) has the edge for instruction following in this comparison, averaging 70 versus 68. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Ministral 3 8B (Reasoning) 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.
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