Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GLM-5 is clearly ahead on the aggregate, 65 to 53. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-5's sharpest advantage is in mathematics, where it averages 84.8 against 65.1. The single biggest benchmark swing on the page is MMLU, 88 to 62. 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.
Seed-2.0-Mini gives you the larger context window at 256K, compared with 200K for GLM-5.
Pick GLM-5 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-5
62.3
Seed-2.0-Mini
46.2
GLM-5
41.1
Seed-2.0-Mini
24.7
GLM-5
69.2
Seed-2.0-Mini
73.1
GLM-5
79.4
Seed-2.0-Mini
64.8
GLM-5
62.1
Seed-2.0-Mini
44.6
GLM-5
85
Seed-2.0-Mini
80
GLM-5
82.1
Seed-2.0-Mini
71.8
GLM-5
84.8
Seed-2.0-Mini
65.1
GLM-5 is ahead overall, 65 to 53. The biggest single separator in this matchup is MMLU, where the scores are 88 and 62.
GLM-5 has the edge for knowledge tasks in this comparison, averaging 62.1 versus 44.6. Inside this category, MMLU is the benchmark that creates the most daylight between them.
GLM-5 has the edge for coding in this comparison, averaging 41.1 versus 24.7. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
GLM-5 has the edge for math in this comparison, averaging 84.8 versus 65.1. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
GLM-5 has the edge for reasoning in this comparison, averaging 79.4 versus 64.8. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
GLM-5 has the edge for agentic tasks in this comparison, averaging 62.3 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 69.2. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
GLM-5 has the edge for instruction following in this comparison, averaging 85 versus 80. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GLM-5 has the edge for multilingual tasks in this comparison, averaging 82.1 versus 71.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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