Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GLM-4.7 has the cleaner overall profile here, landing at 67 versus 65. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
GLM-4.7's sharpest advantage is in mathematics, where it averages 85 against 75.9. The single biggest benchmark swing on the page is HumanEval, 78 to 64. Seed 1.6 does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
Seed 1.6 gives you the larger context window at 256K, compared with 200K for GLM-4.7.
Pick GLM-4.7 if you want the stronger benchmark profile. Seed 1.6 only becomes the better choice if multimodal & grounded is the priority or you need the larger 256K context window.
GLM-4.7
66.1
Seed 1.6
62.3
GLM-4.7
46.6
Seed 1.6
42.4
GLM-4.7
70.5
Seed 1.6
79.6
GLM-4.7
80.2
Seed 1.6
74.5
GLM-4.7
61.8
Seed 1.6
56.4
GLM-4.7
85
Seed 1.6
87
GLM-4.7
79.1
Seed 1.6
83.4
GLM-4.7
85
Seed 1.6
75.9
GLM-4.7 is ahead overall, 67 to 65. The biggest single separator in this matchup is HumanEval, where the scores are 78 and 64.
GLM-4.7 has the edge for knowledge tasks in this comparison, averaging 61.8 versus 56.4. Inside this category, MMLU is the benchmark that creates the most daylight between them.
GLM-4.7 has the edge for coding in this comparison, averaging 46.6 versus 42.4. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
GLM-4.7 has the edge for math in this comparison, averaging 85 versus 75.9. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
GLM-4.7 has the edge for reasoning in this comparison, averaging 80.2 versus 74.5. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
GLM-4.7 has the edge for agentic tasks in this comparison, averaging 66.1 versus 62.3. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for multimodal and grounded tasks in this comparison, averaging 79.6 versus 70.5. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for instruction following in this comparison, averaging 87 versus 85. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for multilingual tasks in this comparison, averaging 83.4 versus 79.1. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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