Gemini 3.1 Pro vs DeepSeek V3 (0324)
Google's frontier model with a large leap in core reasoning.
March 2024 iteration of the DeepSeek V3 685B MoE model.
No captured outputs for these models yet.
Frequently Asked Questions: Gemini 3.1 Pro vs DeepSeek V3 (0324)▼
Which is better, Gemini 3.1 Pro or DeepSeek V3 (0324)?
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Based on the Capability Index, Gemini 3.1 Pro scores higher (86.4 vs 70.0). 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 V3 (0324)?
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DeepSeek V3 (0324) has a lower blended cost. Gemini 3.1 Pro: $2.00 input / $12.00 output. DeepSeek V3 (0324): $0.20 input / $0.77 output.
Which has a larger context window, Gemini 3.1 Pro or DeepSeek V3 (0324)?
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Gemini 3.1 Pro has a larger context window: Gemini 3.1 Pro supports 1M tokens vs DeepSeek V3 (0324) at 164K tokens.
Do both Gemini 3.1 Pro and DeepSeek V3 (0324) support vision?
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Gemini 3.1 Pro supports vision/image input, but DeepSeek V3 (0324) does not.
What are the key differences between Gemini 3.1 Pro and DeepSeek V3 (0324)?
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Key differences: Gemini 3.1 Pro has a notably higher capability index (16.4 point gap); DeepSeek V3 (0324) is significantly cheaper; only Gemini 3.1 Pro supports vision input; only Gemini 3.1 Pro offers extended reasoning mode. 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 V3 (0324) for free on idapt.app to see which performs better for your specific needs.