Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Seed 1.6 has the cleaner overall profile here, landing at 65 versus 62. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Seed 1.6's sharpest advantage is in multimodal & grounded, where it averages 79.6 against 62.5. The single biggest benchmark swing on the page is MMMU-Pro, 80 to 58. GLM-4.7-Flash does hit back in coding, 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-Flash.
Pick Seed 1.6 if you want the stronger benchmark profile. GLM-4.7-Flash only becomes the better choice if coding is the priority.
Seed 1.6
62.3
GLM-4.7-Flash
61.3
Seed 1.6
42.4
GLM-4.7-Flash
45.9
Seed 1.6
79.6
GLM-4.7-Flash
62.5
Seed 1.6
74.5
GLM-4.7-Flash
69.7
Seed 1.6
56.4
GLM-4.7-Flash
54.1
Seed 1.6
87
GLM-4.7-Flash
84
Seed 1.6
83.4
GLM-4.7-Flash
81.8
Seed 1.6
75.9
GLM-4.7-Flash
74
Seed 1.6 is ahead overall, 65 to 62. The biggest single separator in this matchup is MMMU-Pro, where the scores are 80 and 58.
Seed 1.6 has the edge for knowledge tasks in this comparison, averaging 56.4 versus 54.1. Inside this category, MMLU 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 42.4. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for math in this comparison, averaging 75.9 versus 74. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for reasoning in this comparison, averaging 74.5 versus 69.7. Inside this category, MuSR is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for agentic tasks in this comparison, averaging 62.3 versus 61.3. 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 62.5. 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 84. 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 81.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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