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 48. 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 48.3. The single biggest benchmark swing on the page is MMMU-Pro, 80 to 42.
Seed-2.0-Lite gives you the larger context window at 256K, compared with 32K for Mistral 8x7B.
Pick Seed-2.0-Lite if you want the stronger benchmark profile. Mistral 8x7B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Seed-2.0-Lite
55.1
Mistral 8x7B
41.1
Seed-2.0-Lite
41.4
Mistral 8x7B
25.8
Seed-2.0-Lite
79.6
Mistral 8x7B
48.3
Seed-2.0-Lite
73
Mistral 8x7B
60.3
Seed-2.0-Lite
53.9
Mistral 8x7B
48.4
Seed-2.0-Lite
89
Mistral 8x7B
78
Seed-2.0-Lite
82.5
Mistral 8x7B
72.1
Seed-2.0-Lite
75
Mistral 8x7B
68.1
Seed-2.0-Lite is ahead overall, 63 to 48. The biggest single separator in this matchup is MMMU-Pro, where the scores are 80 and 42.
Seed-2.0-Lite has the edge for knowledge tasks in this comparison, averaging 53.9 versus 48.4. Inside this category, FrontierScience 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 25.8. 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 68.1. 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 60.3. 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 41.1. 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 48.3. 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 78. 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 72.1. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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