Gemini 3.1 Pro vs o3-mini (High)
Google's frontier model with a large leap in core reasoning.
o3-mini with reasoning effort set to high for maximum STEM accuracy.
No captured outputs for these models yet.
Frequently Asked Questions: Gemini 3.1 Pro vs o3-mini (High)▼
Which is better, Gemini 3.1 Pro or o3-mini (High)?
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Based on the Capability Index, Gemini 3.1 Pro scores higher (86.4 vs 73.9). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.
Which is cheaper, Gemini 3.1 Pro or o3-mini (High)?
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o3-mini (High) has a lower blended cost. Gemini 3.1 Pro: $2.00 input / $12.00 output. o3-mini (High): $1.10 input / $4.40 output.
Which has a larger context window, Gemini 3.1 Pro or o3-mini (High)?
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Gemini 3.1 Pro has a larger context window: Gemini 3.1 Pro supports 1M tokens vs o3-mini (High) at 200K tokens.
Do both Gemini 3.1 Pro and o3-mini (High) support vision?
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Gemini 3.1 Pro supports vision/image input, but o3-mini (High) does not.
What are the key differences between Gemini 3.1 Pro and o3-mini (High)?
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Key differences: Gemini 3.1 Pro has a notably higher capability index (12.5 point gap); only Gemini 3.1 Pro supports vision input. Compare full specs on this page.
Which model should I choose for my use case?
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If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both Gemini 3.1 Pro and o3-mini (High) for free on idapt.app to see which performs better for your specific needs.