Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemini 2.5 Pro is clearly ahead on the aggregate, 67 to 56. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 2.5 Pro's sharpest advantage is in mathematics, where it averages 83.5 against 67.1. The single biggest benchmark swing on the page is SWE-bench Verified, 45 to 24.
Gemini 2.5 Pro is also the more expensive model on tokens at $1.25 input / $5.00 output per 1M tokens, versus $0.08 input / $0.30 output per 1M tokens for Seed 1.6 Flash. That is roughly 16.7x on output cost alone. Seed 1.6 Flash is the reasoning model in the pair, while Gemini 2.5 Pro 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 2.5 Pro gives you the larger context window at 1M, compared with 256K for Seed 1.6 Flash.
Pick Gemini 2.5 Pro if you want the stronger benchmark profile. Seed 1.6 Flash only becomes the better choice if you want the cheaper token bill or you want the stronger reasoning-first profile.
Gemini 2.5 Pro
61.7
Seed 1.6 Flash
54.5
Gemini 2.5 Pro
41
Seed 1.6 Flash
27.6
Gemini 2.5 Pro
85.1
Seed 1.6 Flash
73.1
Gemini 2.5 Pro
80.7
Seed 1.6 Flash
66.8
Gemini 2.5 Pro
58.4
Seed 1.6 Flash
47.3
Gemini 2.5 Pro
83
Seed 1.6 Flash
81
Gemini 2.5 Pro
82.7
Seed 1.6 Flash
72.8
Gemini 2.5 Pro
83.5
Seed 1.6 Flash
67.1
Gemini 2.5 Pro is ahead overall, 67 to 56. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 45 and 24.
Gemini 2.5 Pro has the edge for knowledge tasks in this comparison, averaging 58.4 versus 47.3. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Gemini 2.5 Pro has the edge for coding in this comparison, averaging 41 versus 27.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Gemini 2.5 Pro has the edge for math in this comparison, averaging 83.5 versus 67.1. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Gemini 2.5 Pro has the edge for reasoning in this comparison, averaging 80.7 versus 66.8. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Gemini 2.5 Pro has the edge for agentic tasks in this comparison, averaging 61.7 versus 54.5. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Gemini 2.5 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 85.1 versus 73.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Gemini 2.5 Pro has the edge for instruction following in this comparison, averaging 83 versus 81. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Gemini 2.5 Pro has the edge for multilingual tasks in this comparison, averaging 82.7 versus 72.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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