Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Seed-2.0-Lite has the cleaner overall profile here, landing at 63 versus 60. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Seed-2.0-Lite's sharpest advantage is in multimodal & grounded, where it averages 79.6 against 71.5. The single biggest benchmark swing on the page is MRCRv2, 77 to 66. Ministral 3 14B (Reasoning) does hit back in agentic, 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 $0.00 input / $0.00 output per 1M tokens for Ministral 3 14B (Reasoning). That is roughly Infinityx on output cost alone. Ministral 3 14B (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 14B (Reasoning).
Pick Seed-2.0-Lite if you want the stronger benchmark profile. Ministral 3 14B (Reasoning) only becomes the better choice if agentic is the priority or you want the cheaper token bill.
Seed-2.0-Lite
55.1
Ministral 3 14B (Reasoning)
58.5
Seed-2.0-Lite
41.4
Ministral 3 14B (Reasoning)
35
Seed-2.0-Lite
79.6
Ministral 3 14B (Reasoning)
71.5
Seed-2.0-Lite
73
Ministral 3 14B (Reasoning)
69.2
Seed-2.0-Lite
53.9
Ministral 3 14B (Reasoning)
52.1
Seed-2.0-Lite
89
Ministral 3 14B (Reasoning)
81
Seed-2.0-Lite
82.5
Ministral 3 14B (Reasoning)
77.8
Seed-2.0-Lite
75
Ministral 3 14B (Reasoning)
75.2
Seed-2.0-Lite is ahead overall, 63 to 60. The biggest single separator in this matchup is MRCRv2, where the scores are 77 and 66.
Seed-2.0-Lite has the edge for knowledge tasks in this comparison, averaging 53.9 versus 52.1. Inside this category, MMLU-Pro 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 35. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for math in this comparison, averaging 75.2 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 69.2. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for agentic tasks in this comparison, averaging 58.5 versus 55.1. Inside this category, Terminal-Bench 2.0 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 71.5. 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 81. 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 77.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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