Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Ministral 3 8B (Reasoning) finishes one point ahead overall, 36 to 35. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
Ministral 3 8B (Reasoning)'s sharpest advantage is in agentic, where it averages 38.5 against 30.3. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 39 to 28. GLM-4.5-Air does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
Ministral 3 8B (Reasoning) is the reasoning model in the pair, while GLM-4.5-Air 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.
Pick Ministral 3 8B (Reasoning) if you want the stronger benchmark profile. GLM-4.5-Air only becomes the better choice 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)
38.5
GLM-4.5-Air
30.3
Ministral 3 8B (Reasoning)
15.2
GLM-4.5-Air
14.6
Ministral 3 8B (Reasoning)
33.4
GLM-4.5-Air
39.6
Ministral 3 8B (Reasoning)
42.1
GLM-4.5-Air
42.6
Ministral 3 8B (Reasoning)
30
GLM-4.5-Air
31.1
Ministral 3 8B (Reasoning)
70
GLM-4.5-Air
68
Ministral 3 8B (Reasoning)
61.7
GLM-4.5-Air
59.1
Ministral 3 8B (Reasoning)
47.8
GLM-4.5-Air
44.4
Ministral 3 8B (Reasoning) is ahead overall, 36 to 35. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 39 and 28.
GLM-4.5-Air has the edge for knowledge tasks in this comparison, averaging 31.1 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 14.6. 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 44.4. Inside this category, MATH-500 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 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 30.3. 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 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 59.1. 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.