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 55. 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 reasoning, where it averages 73 against 63.6. The single biggest benchmark swing on the page is MRCRv2, 77 to 60.
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. That is roughly Infinityx on output cost alone. Seed-2.0-Lite gives you the larger context window at 256K, compared with 128K for Ministral 3 14B.
Pick Seed-2.0-Lite if you want the stronger benchmark profile. Ministral 3 14B only becomes the better choice if you want the cheaper token bill.
Seed-2.0-Lite
55.1
Ministral 3 14B
48.4
Seed-2.0-Lite
41.4
Ministral 3 14B
33
Seed-2.0-Lite
79.6
Ministral 3 14B
70.5
Seed-2.0-Lite
73
Ministral 3 14B
63.6
Seed-2.0-Lite
53.9
Ministral 3 14B
50.1
Seed-2.0-Lite
89
Ministral 3 14B
80
Seed-2.0-Lite
82.5
Ministral 3 14B
76.8
Seed-2.0-Lite
75
Ministral 3 14B
69.7
Seed-2.0-Lite is ahead overall, 63 to 55. The biggest single separator in this matchup is MRCRv2, where the scores are 77 and 60.
Seed-2.0-Lite has the edge for knowledge tasks in this comparison, averaging 53.9 versus 50.1. 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 33. Inside this category, SWE-bench Pro 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 69.7. Inside this category, MATH-500 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 63.6. Inside this category, MRCRv2 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 48.4. 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 70.5. 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 80. 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 76.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.