Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Seed-2.0-Lite finishes one point ahead overall, 63 to 62. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
Seed-2.0-Lite'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 agentic, 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-Lite 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-Lite gives you the larger context window at 256K, compared with 200K for GLM-4.7-Flash.
Pick Seed-2.0-Lite if you want the stronger benchmark profile. GLM-4.7-Flash only becomes the better choice if agentic is the priority or you want the stronger reasoning-first profile.
Seed-2.0-Lite
55.1
GLM-4.7-Flash
61.3
Seed-2.0-Lite
41.4
GLM-4.7-Flash
45.9
Seed-2.0-Lite
79.6
GLM-4.7-Flash
62.5
Seed-2.0-Lite
73
GLM-4.7-Flash
69.7
Seed-2.0-Lite
53.9
GLM-4.7-Flash
54.1
Seed-2.0-Lite
89
GLM-4.7-Flash
84
Seed-2.0-Lite
82.5
GLM-4.7-Flash
81.8
Seed-2.0-Lite
75
GLM-4.7-Flash
74
Seed-2.0-Lite is ahead overall, 63 to 62. The biggest single separator in this matchup is MMMU-Pro, where the scores are 80 and 58.
GLM-4.7-Flash has the edge for knowledge tasks in this comparison, averaging 54.1 versus 53.9. 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 41.4. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for math in this comparison, averaging 75 versus 74. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for reasoning in this comparison, averaging 73 versus 69.7. Inside this category, SimpleQA 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 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 62.5. 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 84. 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 81.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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