Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GLM-5 has the cleaner overall profile here, landing at 65 versus 63. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
GLM-5's sharpest advantage is in mathematics, where it averages 84.8 against 75. The single biggest benchmark swing on the page is HumanEval, 80 to 63. Seed-2.0-Lite 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-Lite 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-Lite 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-Lite
55.1
GLM-5
41.1
Seed-2.0-Lite
41.4
GLM-5
69.2
Seed-2.0-Lite
79.6
GLM-5
79.4
Seed-2.0-Lite
73
GLM-5
62.1
Seed-2.0-Lite
53.9
GLM-5
85
Seed-2.0-Lite
89
GLM-5
82.1
Seed-2.0-Lite
82.5
GLM-5
84.8
Seed-2.0-Lite
75
GLM-5 is ahead overall, 65 to 63. The biggest single separator in this matchup is HumanEval, where the scores are 80 and 63.
GLM-5 has the edge for knowledge tasks in this comparison, averaging 62.1 versus 53.9. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for coding in this comparison, averaging 41.4 versus 41.1. 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 75. 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 73. 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 55.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for multimodal and grounded tasks in this comparison, averaging 79.6 versus 69.2. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for instruction following in this comparison, averaging 89 versus 85. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for multilingual tasks in this comparison, averaging 82.5 versus 82.1. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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