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 42. 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 31.3. The single biggest benchmark swing on the page is LongBench v2, 76 to 30. Phi-4 does hit back in coding, 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 Phi-4. That is roughly Infinityx on output cost alone. Seed-2.0-Lite gives you the larger context window at 256K, compared with 16K for Phi-4.
Pick Seed-2.0-Lite if you want the stronger benchmark profile. Phi-4 only becomes the better choice if coding is the priority or you want the cheaper token bill.
Seed-2.0-Lite
55.1
Phi-4
38.3
Seed-2.0-Lite
41.4
Phi-4
55
Seed-2.0-Lite
79.6
Phi-4
46.8
Seed-2.0-Lite
73
Phi-4
31.3
Seed-2.0-Lite
53.9
Phi-4
53.8
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
Phi-4
67.2
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 42. The biggest single separator in this matchup is LongBench v2, where the scores are 76 and 30.
Seed-2.0-Lite has the edge for knowledge tasks in this comparison, averaging 53.9 versus 53.8. Inside this category, FrontierScience is the benchmark that creates the most daylight between them.
Phi-4 has the edge for coding in this comparison, averaging 55 versus 41.4. 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 31.3. 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 38.3. 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 46.8. Inside this category, OfficeQA 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 67.2. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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