Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GLM-4.7 is clearly ahead on the aggregate, 67 to 56. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-4.7's sharpest advantage is in coding, where it averages 46.6 against 27.6. The single biggest benchmark swing on the page is AIME 2023, 86 to 64. Seed 1.6 Flash 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 Flash 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 Flash 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 Flash
54.5
GLM-4.7
46.6
Seed 1.6 Flash
27.6
GLM-4.7
70.5
Seed 1.6 Flash
73.1
GLM-4.7
80.2
Seed 1.6 Flash
66.8
GLM-4.7
61.8
Seed 1.6 Flash
47.3
GLM-4.7
85
Seed 1.6 Flash
81
GLM-4.7
79.1
Seed 1.6 Flash
72.8
GLM-4.7
85
Seed 1.6 Flash
67.1
GLM-4.7 is ahead overall, 67 to 56. The biggest single separator in this matchup is AIME 2023, where the scores are 86 and 64.
GLM-4.7 has the edge for knowledge tasks in this comparison, averaging 61.8 versus 47.3. 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 27.6. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
GLM-4.7 has the edge for math in this comparison, averaging 85 versus 67.1. 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 66.8. 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 54.5. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for multimodal and grounded tasks in this comparison, averaging 73.1 versus 70.5. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
GLM-4.7 has the edge for instruction following in this comparison, averaging 85 versus 81. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GLM-4.7 has the edge for multilingual tasks in this comparison, averaging 79.1 versus 72.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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