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 30. 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 32.4. The single biggest benchmark swing on the page is MMMU-Pro, 74 to 27.
Seed-2.0-Mini is also the more expensive model on tokens at $0.10 input / $0.40 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for LFM2.5-1.2B-Instruct. That is roughly Infinityx on output cost alone. Seed-2.0-Mini gives you the larger context window at 256K, compared with 32K for LFM2.5-1.2B-Instruct.
Pick Seed-2.0-Mini if you want the stronger benchmark profile. LFM2.5-1.2B-Instruct only becomes the better choice if you want the cheaper token bill.
Seed-2.0-Mini
46.2
LFM2.5-1.2B-Instruct
25.7
Seed-2.0-Mini
24.7
LFM2.5-1.2B-Instruct
7.2
Seed-2.0-Mini
73.1
LFM2.5-1.2B-Instruct
32.4
Seed-2.0-Mini
64.8
LFM2.5-1.2B-Instruct
32.1
Seed-2.0-Mini
44.6
LFM2.5-1.2B-Instruct
26
Seed-2.0-Mini
80
LFM2.5-1.2B-Instruct
80
Seed-2.0-Mini
71.8
LFM2.5-1.2B-Instruct
60.7
Seed-2.0-Mini
65.1
LFM2.5-1.2B-Instruct
37
Seed-2.0-Mini is ahead overall, 53 to 30. The biggest single separator in this matchup is MMMU-Pro, where the scores are 74 and 27.
Seed-2.0-Mini has the edge for knowledge tasks in this comparison, averaging 44.6 versus 26. 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 7.2. 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 37. 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 32.1. Inside this category, SimpleQA 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 25.7. 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 32.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Seed-2.0-Mini and LFM2.5-1.2B-Instruct are effectively tied for instruction following here, both landing at 80 on average.
Seed-2.0-Mini has the edge for multilingual tasks in this comparison, averaging 71.8 versus 60.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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