Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemini 3 Pro Deep Think is clearly ahead on the aggregate, 81 to 53. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3 Pro Deep Think's sharpest advantage is in coding, where it averages 60.3 against 24.7. The single biggest benchmark swing on the page is LiveCodeBench, 58 to 21.
Gemini 3 Pro Deep Think is the reasoning model in the pair, while Seed-2.0-Mini is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Gemini 3 Pro Deep Think gives you the larger context window at 2M, compared with 256K for Seed-2.0-Mini.
Pick Gemini 3 Pro Deep Think if you want the stronger benchmark profile. Seed-2.0-Mini only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Gemini 3 Pro Deep Think
78.1
Seed-2.0-Mini
46.2
Gemini 3 Pro Deep Think
60.3
Seed-2.0-Mini
24.7
Gemini 3 Pro Deep Think
95
Seed-2.0-Mini
73.1
Gemini 3 Pro Deep Think
94.5
Seed-2.0-Mini
64.8
Gemini 3 Pro Deep Think
74.7
Seed-2.0-Mini
44.6
Gemini 3 Pro Deep Think
89
Seed-2.0-Mini
80
Gemini 3 Pro Deep Think
87.4
Seed-2.0-Mini
71.8
Gemini 3 Pro Deep Think
94.5
Seed-2.0-Mini
65.1
Gemini 3 Pro Deep Think is ahead overall, 81 to 53. The biggest single separator in this matchup is LiveCodeBench, where the scores are 58 and 21.
Gemini 3 Pro Deep Think has the edge for knowledge tasks in this comparison, averaging 74.7 versus 44.6. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Gemini 3 Pro Deep Think has the edge for coding in this comparison, averaging 60.3 versus 24.7. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
Gemini 3 Pro Deep Think has the edge for math in this comparison, averaging 94.5 versus 65.1. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Gemini 3 Pro Deep Think has the edge for reasoning in this comparison, averaging 94.5 versus 64.8. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Gemini 3 Pro Deep Think has the edge for agentic tasks in this comparison, averaging 78.1 versus 46.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Gemini 3 Pro Deep Think has the edge for multimodal and grounded tasks in this comparison, averaging 95 versus 73.1. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
Gemini 3 Pro Deep Think has the edge for instruction following in this comparison, averaging 89 versus 80. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Gemini 3 Pro Deep Think has the edge for multilingual tasks in this comparison, averaging 87.4 versus 71.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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