Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemini 3.1 Pro is clearly ahead on the aggregate, 84 to 66. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3.1 Pro'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 3.1 Pro is also the more expensive model on tokens at $1.25 input / $5.00 output per 1M tokens, versus $0.10 input / $0.30 output per 1M tokens for Step 3.5 Flash. That is roughly 16.7x on output cost alone. Gemini 3.1 Pro gives you the larger context window at 1M, compared with 256K for Step 3.5 Flash.
Pick Gemini 3.1 Pro if you want the stronger benchmark profile. Step 3.5 Flash only becomes the better choice if you want the cheaper token bill.
Gemini 3.1 Pro
76.1
Step 3.5 Flash
60.2
Gemini 3.1 Pro
71.9
Step 3.5 Flash
47.1
Gemini 3.1 Pro
95
Step 3.5 Flash
66.7
Gemini 3.1 Pro
92.7
Step 3.5 Flash
78.3
Gemini 3.1 Pro
79.4
Step 3.5 Flash
60.8
Gemini 3.1 Pro
95
Step 3.5 Flash
87
Gemini 3.1 Pro
94.1
Step 3.5 Flash
82.8
Gemini 3.1 Pro
96.8
Step 3.5 Flash
84.5
Gemini 3.1 Pro is ahead overall, 84 to 66. The biggest single separator in this matchup is MMMU-Pro, where the scores are 95 and 64.
Gemini 3.1 Pro has the edge for knowledge tasks in this comparison, averaging 79.4 versus 60.8. Inside this category, HLE is the benchmark that creates the most daylight between them.
Gemini 3.1 Pro has the edge for coding in this comparison, averaging 71.9 versus 47.1. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Gemini 3.1 Pro has the edge for math in this comparison, averaging 96.8 versus 84.5. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Gemini 3.1 Pro has the edge for reasoning in this comparison, averaging 92.7 versus 78.3. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
Gemini 3.1 Pro has the edge for agentic tasks in this comparison, averaging 76.1 versus 60.2. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Gemini 3.1 Pro 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 3.1 Pro has the edge for instruction following in this comparison, averaging 95 versus 87. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Gemini 3.1 Pro has the edge for multilingual tasks in this comparison, averaging 94.1 versus 82.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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