Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GLM-4.7-Flash has the cleaner overall profile here, landing at 62 versus 60. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
GLM-4.7-Flash's sharpest advantage is in coding, where it averages 45.9 against 35. The single biggest benchmark swing on the page is MMMU-Pro, 58 to 71. Ministral 3 14B (Reasoning) does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
GLM-4.7-Flash gives you the larger context window at 200K, compared with 128K for Ministral 3 14B (Reasoning).
Pick GLM-4.7-Flash if you want the stronger benchmark profile. Ministral 3 14B (Reasoning) only becomes the better choice if multimodal & grounded is the priority.
GLM-4.7-Flash
61.3
Ministral 3 14B (Reasoning)
58.5
GLM-4.7-Flash
45.9
Ministral 3 14B (Reasoning)
35
GLM-4.7-Flash
62.5
Ministral 3 14B (Reasoning)
71.5
GLM-4.7-Flash
69.7
Ministral 3 14B (Reasoning)
69.2
GLM-4.7-Flash
54.1
Ministral 3 14B (Reasoning)
52.1
GLM-4.7-Flash
84
Ministral 3 14B (Reasoning)
81
GLM-4.7-Flash
81.8
Ministral 3 14B (Reasoning)
77.8
GLM-4.7-Flash
74
Ministral 3 14B (Reasoning)
75.2
GLM-4.7-Flash is ahead overall, 62 to 60. The biggest single separator in this matchup is MMMU-Pro, where the scores are 58 and 71.
GLM-4.7-Flash has the edge for knowledge tasks in this comparison, averaging 54.1 versus 52.1. Inside this category, HLE is the benchmark that creates the most daylight between them.
GLM-4.7-Flash has the edge for coding in this comparison, averaging 45.9 versus 35. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for math in this comparison, averaging 75.2 versus 74. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
GLM-4.7-Flash has the edge for reasoning in this comparison, averaging 69.7 versus 69.2. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
GLM-4.7-Flash has the edge for agentic tasks in this comparison, averaging 61.3 versus 58.5. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for multimodal and grounded tasks in this comparison, averaging 71.5 versus 62.5. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
GLM-4.7-Flash has the edge for instruction following in this comparison, averaging 84 versus 81. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GLM-4.7-Flash has the edge for multilingual tasks in this comparison, averaging 81.8 versus 77.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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