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 59. 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 61. The single biggest benchmark swing on the page is MMMU-Pro, 80 to 56. Mistral Large 2 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Seed-2.0-Lite gives you the larger context window at 256K, compared with 128K for Mistral Large 2.
Pick Seed-2.0-Lite if you want the stronger benchmark profile. Mistral Large 2 only becomes the better choice if knowledge is the priority.
Seed-2.0-Lite
55.1
Mistral Large 2
52.2
Seed-2.0-Lite
41.4
Mistral Large 2
41.8
Seed-2.0-Lite
79.6
Mistral Large 2
61
Seed-2.0-Lite
73
Mistral Large 2
67.5
Seed-2.0-Lite
53.9
Mistral Large 2
54.6
Seed-2.0-Lite
89
Mistral Large 2
83
Seed-2.0-Lite
82.5
Mistral Large 2
79.1
Seed-2.0-Lite
75
Mistral Large 2
73.8
Seed-2.0-Lite is ahead overall, 63 to 59. The biggest single separator in this matchup is MMMU-Pro, where the scores are 80 and 56.
Mistral Large 2 has the edge for knowledge tasks in this comparison, averaging 54.6 versus 53.9. Inside this category, HLE is the benchmark that creates the most daylight between them.
Mistral Large 2 has the edge for coding in this comparison, averaging 41.8 versus 41.4. Inside this category, SWE-bench Verified 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 73.8. 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 67.5. Inside this category, LongBench v2 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 52.2. 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 61. 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 83. 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 79.1. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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