Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Seed-2.0-Mini is clearly ahead on the aggregate, 53 to 38. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Seed-2.0-Mini's sharpest advantage is in multimodal & grounded, where it averages 73.1 against 41.7. The single biggest benchmark swing on the page is MMMU-Pro, 74 to 39.
Seed-2.0-Mini is also the more expensive model on tokens at $0.10 input / $0.40 output per 1M tokens, versus $0.03 input / $0.12 output per 1M tokens for LFM2-24B-A2B. That is roughly 3.3x on output cost alone. Seed-2.0-Mini gives you the larger context window at 256K, compared with 32K for LFM2-24B-A2B.
Pick Seed-2.0-Mini if you want the stronger benchmark profile. LFM2-24B-A2B only becomes the better choice if you want the cheaper token bill.
Seed-2.0-Mini
46.2
LFM2-24B-A2B
33.4
Seed-2.0-Mini
24.7
LFM2-24B-A2B
18
Seed-2.0-Mini
73.1
LFM2-24B-A2B
41.7
Seed-2.0-Mini
64.8
LFM2-24B-A2B
46.6
Seed-2.0-Mini
44.6
LFM2-24B-A2B
35.6
Seed-2.0-Mini
80
LFM2-24B-A2B
68
Seed-2.0-Mini
71.8
LFM2-24B-A2B
61.4
Seed-2.0-Mini
65.1
LFM2-24B-A2B
50.4
Seed-2.0-Mini is ahead overall, 53 to 38. The biggest single separator in this matchup is MMMU-Pro, where the scores are 74 and 39.
Seed-2.0-Mini has the edge for knowledge tasks in this comparison, averaging 44.6 versus 35.6. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for coding in this comparison, averaging 24.7 versus 18. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for math in this comparison, averaging 65.1 versus 50.4. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for reasoning in this comparison, averaging 64.8 versus 46.6. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for agentic tasks in this comparison, averaging 46.2 versus 33.4. Inside this category, BrowseComp 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 41.7. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for instruction following in this comparison, averaging 80 versus 68. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for multilingual tasks in this comparison, averaging 71.8 versus 61.4. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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