Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GLM-4.7-Flash is clearly ahead on the aggregate, 62 to 53. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-4.7-Flash's sharpest advantage is in coding, where it averages 45.9 against 24.7. The single biggest benchmark swing on the page is LiveCodeBench, 45 to 21. Seed-2.0-Mini 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 is the reasoning model in the pair, while Seed-2.0-Mini 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. Seed-2.0-Mini gives you the larger context window at 256K, compared with 200K for GLM-4.7-Flash.
Pick GLM-4.7-Flash if you want the stronger benchmark profile. Seed-2.0-Mini only becomes the better choice if multimodal & grounded is the priority or you need the larger 256K context window.
GLM-4.7-Flash
61.3
Seed-2.0-Mini
46.2
GLM-4.7-Flash
45.9
Seed-2.0-Mini
24.7
GLM-4.7-Flash
62.5
Seed-2.0-Mini
73.1
GLM-4.7-Flash
69.7
Seed-2.0-Mini
64.8
GLM-4.7-Flash
54.1
Seed-2.0-Mini
44.6
GLM-4.7-Flash
84
Seed-2.0-Mini
80
GLM-4.7-Flash
81.8
Seed-2.0-Mini
71.8
GLM-4.7-Flash
74
Seed-2.0-Mini
65.1
GLM-4.7-Flash is ahead overall, 62 to 53. The biggest single separator in this matchup is LiveCodeBench, where the scores are 45 and 21.
GLM-4.7-Flash has the edge for knowledge tasks in this comparison, averaging 54.1 versus 44.6. 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 24.7. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
GLM-4.7-Flash has the edge for math in this comparison, averaging 74 versus 65.1. Inside this category, MATH-500 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 64.8. Inside this category, BBH 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 46.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for multimodal and grounded tasks in this comparison, averaging 73.1 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 80. 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 71.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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