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 35. 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 35.5. The single biggest benchmark swing on the page is MMMU-Pro, 80 to 35.
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 Mixtral 8x22B Instruct v0.1. That is roughly Infinityx on output cost alone. Seed-2.0-Lite gives you the larger context window at 256K, compared with 64K for Mixtral 8x22B Instruct v0.1.
Pick Seed-2.0-Lite if you want the stronger benchmark profile. Mixtral 8x22B Instruct v0.1 only becomes the better choice if you want the cheaper token bill.
Seed-2.0-Lite
55.1
Mixtral 8x22B Instruct v0.1
31.8
Seed-2.0-Lite
41.4
Mixtral 8x22B Instruct v0.1
40
Seed-2.0-Lite
79.6
Mixtral 8x22B Instruct v0.1
35.5
Seed-2.0-Lite
73
Mixtral 8x22B Instruct v0.1
38.6
Seed-2.0-Lite
53.9
Mixtral 8x22B Instruct v0.1
53
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Seed-2.0-Lite
82.5
Mixtral 8x22B Instruct v0.1
42
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Seed-2.0-Lite is ahead overall, 63 to 35. The biggest single separator in this matchup is MMMU-Pro, where the scores are 80 and 35.
Seed-2.0-Lite has the edge for knowledge tasks in this comparison, averaging 53.9 versus 53. 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 40. Inside this category, HumanEval 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 38.6. 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 31.8. 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 35.5. Inside this category, MMMU-Pro 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 42. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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