Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Seed-2.0-Lite is clearly ahead on the aggregate, 63 to 36. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Seed-2.0-Lite's sharpest advantage is in multimodal & grounded, where it averages 79.6 against 41. The single biggest benchmark swing on the page is MMMU-Pro, 80 to 36.
Seed-2.0-Lite gives you the larger context window at 256K, compared with 128K for GLM-4.5.
Pick Seed-2.0-Lite if you want the stronger benchmark profile. GLM-4.5 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Seed-2.0-Lite
55.1
GLM-4.5
31.3
Seed-2.0-Lite
41.4
GLM-4.5
14.4
Seed-2.0-Lite
79.6
GLM-4.5
41
Seed-2.0-Lite
73
GLM-4.5
43.8
Seed-2.0-Lite
53.9
GLM-4.5
32
Seed-2.0-Lite
89
GLM-4.5
68
Seed-2.0-Lite
82.5
GLM-4.5
58.1
Seed-2.0-Lite
75
GLM-4.5
45.5
Seed-2.0-Lite is ahead overall, 63 to 36. The biggest single separator in this matchup is MMMU-Pro, where the scores are 80 and 36.
Seed-2.0-Lite has the edge for knowledge tasks in this comparison, averaging 53.9 versus 32. 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 14.4. Inside this category, HumanEval 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 45.5. 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 43.8. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for agentic tasks in this comparison, averaging 55.1 versus 31.3. Inside this category, BrowseComp 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 41. 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 68. 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 58.1. Inside this category, MGSM is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.