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 33.4. The single biggest benchmark swing on the page is MMMU-Pro, 80 to 28.
Seed-2.0-Lite is also the more expensive model on tokens at $0.25 input / $2.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Ministral 3 8B (Reasoning). That is roughly Infinityx on output cost alone. Ministral 3 8B (Reasoning) 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 128K for Ministral 3 8B (Reasoning).
Pick Seed-2.0-Lite if you want the stronger benchmark profile. Ministral 3 8B (Reasoning) only becomes the better choice if you want the cheaper token bill or you want the stronger reasoning-first profile.
Seed-2.0-Lite
55.1
Ministral 3 8B (Reasoning)
38.5
Seed-2.0-Lite
41.4
Ministral 3 8B (Reasoning)
15.2
Seed-2.0-Lite
79.6
Ministral 3 8B (Reasoning)
33.4
Seed-2.0-Lite
73
Ministral 3 8B (Reasoning)
42.1
Seed-2.0-Lite
53.9
Ministral 3 8B (Reasoning)
30
Seed-2.0-Lite
89
Ministral 3 8B (Reasoning)
70
Seed-2.0-Lite
82.5
Ministral 3 8B (Reasoning)
61.7
Seed-2.0-Lite
75
Ministral 3 8B (Reasoning)
47.8
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 28.
Seed-2.0-Lite has the edge for knowledge tasks in this comparison, averaging 53.9 versus 30. 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 15.2. 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 47.8. 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 42.1. 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 38.5. 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 33.4. 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 70. 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 61.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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