Gemini 3.1 Pro vs DeepSeek R1 (0528)
Google's frontier model with a large leap in core reasoning.
Updated DeepSeek R1 with performance on par with OpenAI o1.
No captured outputs for these models yet.
Frequently Asked Questions: Gemini 3.1 Pro vs DeepSeek R1 (0528)▼
Which is better, Gemini 3.1 Pro or DeepSeek R1 (0528)?
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Based on the Capability Index, Gemini 3.1 Pro scores higher (86.4 vs 74.5). 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 DeepSeek R1 (0528)?
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DeepSeek R1 (0528) has a lower blended cost. Gemini 3.1 Pro: $2.00 input / $12.00 output. DeepSeek R1 (0528): $0.50 input / $2.15 output.
Which has a larger context window, Gemini 3.1 Pro or DeepSeek R1 (0528)?
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Gemini 3.1 Pro has a larger context window: Gemini 3.1 Pro supports 1M tokens vs DeepSeek R1 (0528) at 164K tokens.
Do both Gemini 3.1 Pro and DeepSeek R1 (0528) support vision?
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Gemini 3.1 Pro supports vision/image input, but DeepSeek R1 (0528) does not.
What are the key differences between Gemini 3.1 Pro and DeepSeek R1 (0528)?
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Key differences: Gemini 3.1 Pro has a notably higher capability index (11.9 point gap); DeepSeek R1 (0528) is significantly cheaper; 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 DeepSeek R1 (0528) for free on idapt.app to see which performs better for your specific needs.