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 66. 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 multimodal & grounded, where it averages 95 against 66.7. The single biggest benchmark swing on the page is MMMU-Pro, 95 to 64.
Gemini 3 Pro Deep Think is the reasoning model in the pair, while Step 3.5 Flash 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 Step 3.5 Flash.
Pick Gemini 3 Pro Deep Think if you want the stronger benchmark profile. Step 3.5 Flash 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
Step 3.5 Flash
60.2
Gemini 3 Pro Deep Think
60.3
Step 3.5 Flash
47.1
Gemini 3 Pro Deep Think
95
Step 3.5 Flash
66.7
Gemini 3 Pro Deep Think
94.5
Step 3.5 Flash
78.3
Gemini 3 Pro Deep Think
74.7
Step 3.5 Flash
60.8
Gemini 3 Pro Deep Think
89
Step 3.5 Flash
87
Gemini 3 Pro Deep Think
87.4
Step 3.5 Flash
82.8
Gemini 3 Pro Deep Think
94.5
Step 3.5 Flash
84.5
Gemini 3 Pro Deep Think is ahead overall, 81 to 66. The biggest single separator in this matchup is MMMU-Pro, where the scores are 95 and 64.
Gemini 3 Pro Deep Think has the edge for knowledge tasks in this comparison, averaging 74.7 versus 60.8. Inside this category, HLE 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 47.1. Inside this category, HumanEval 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 84.5. 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 78.3. Inside this category, MRCRv2 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 60.2. Inside this category, BrowseComp 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 66.7. Inside this category, MMMU-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 87. 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 82.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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