Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Seed-2.0-Lite finishes one point ahead overall, 63 to 62. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
Seed-2.0-Lite's sharpest advantage is in instruction following, where it averages 89 against 85. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 52 to 56. Gemini 3 Flash does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
Gemini 3 Flash is also the more expensive model on tokens at $0.50 input / $3.00 output per 1M tokens, versus $0.25 input / $2.00 output per 1M tokens for Seed-2.0-Lite. Gemini 3 Flash gives you the larger context window at 1M, compared with 256K for Seed-2.0-Lite.
Pick Seed-2.0-Lite if you want the stronger benchmark profile. Gemini 3 Flash only becomes the better choice if agentic is the priority or you need the larger 1M context window.
Seed-2.0-Lite
55.1
Gemini 3 Flash
57.5
Seed-2.0-Lite
41.4
Gemini 3 Flash
40.4
Seed-2.0-Lite
79.6
Gemini 3 Flash
79.6
Seed-2.0-Lite
73
Gemini 3 Flash
72
Seed-2.0-Lite
53.9
Gemini 3 Flash
52.9
Seed-2.0-Lite
89
Gemini 3 Flash
85
Seed-2.0-Lite
82.5
Gemini 3 Flash
80.5
Seed-2.0-Lite
75
Gemini 3 Flash
74
Seed-2.0-Lite is ahead overall, 63 to 62. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 52 and 56.
Seed-2.0-Lite has the edge for knowledge tasks in this comparison, averaging 53.9 versus 52.9. Inside this category, MMLU 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 40.4. Inside this category, HumanEval 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 74. 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 72. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Gemini 3 Flash has the edge for agentic tasks in this comparison, averaging 57.5 versus 55.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Seed-2.0-Lite and Gemini 3 Flash are effectively tied for multimodal and grounded tasks here, both landing at 79.6 on average.
Seed-2.0-Lite has the edge for instruction following in this comparison, averaging 89 versus 85. 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 80.5. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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