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 59. 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 62. The single biggest benchmark swing on the page is MMMU-Pro, 80 to 57. MiniMax M2.5 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Seed-2.0-Lite is also the more expensive model on tokens at $0.25 input / $2.00 output per 1M tokens, versus $0.30 input / $1.20 output per 1M tokens for MiniMax M2.5. Seed-2.0-Lite gives you the larger context window at 256K, compared with 128K for MiniMax M2.5.
Pick Seed-2.0-Lite if you want the stronger benchmark profile. MiniMax M2.5 only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Seed-2.0-Lite
55.1
MiniMax M2.5
53.4
Seed-2.0-Lite
41.4
MiniMax M2.5
38.7
Seed-2.0-Lite
79.6
MiniMax M2.5
62
Seed-2.0-Lite
73
MiniMax M2.5
69.6
Seed-2.0-Lite
53.9
MiniMax M2.5
55.3
Seed-2.0-Lite
89
MiniMax M2.5
85
Seed-2.0-Lite
82.5
MiniMax M2.5
82.1
Seed-2.0-Lite
75
MiniMax M2.5
76.1
Seed-2.0-Lite is ahead overall, 63 to 59. The biggest single separator in this matchup is MMMU-Pro, where the scores are 80 and 57.
MiniMax M2.5 has the edge for knowledge tasks in this comparison, averaging 55.3 versus 53.9. Inside this category, HLE 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 38.7. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
MiniMax M2.5 has the edge for math in this comparison, averaging 76.1 versus 75. 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 69.6. Inside this category, LongBench v2 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 53.4. Inside this category, OSWorld-Verified 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. 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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