Gemini 3.5 Flash vs DeepSeek V3.1
Google's high-speed thinking model for agentic workflows, chat, and coding.
Large hybrid reasoning model supporting thinking and non-thinking modes.
No captured outputs for these models yet.
Frequently Asked Questions: Gemini 3.5 Flash vs DeepSeek V3.1▼
Which is better, Gemini 3.5 Flash or DeepSeek V3.1?
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Based on the Capability Index, Gemini 3.5 Flash scores higher (86.2 vs 71.6). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.
Which is cheaper, Gemini 3.5 Flash or DeepSeek V3.1?
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DeepSeek V3.1 has a lower blended cost. Gemini 3.5 Flash: $1.50 input / $9.00 output. DeepSeek V3.1: $0.21 input / $0.79 output.
Which has a larger context window, Gemini 3.5 Flash or DeepSeek V3.1?
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Gemini 3.5 Flash has a larger context window: Gemini 3.5 Flash supports 1M tokens vs DeepSeek V3.1 at 164K tokens.
Do both Gemini 3.5 Flash and DeepSeek V3.1 support vision?
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Gemini 3.5 Flash supports vision/image input, but DeepSeek V3.1 does not.
What are the key differences between Gemini 3.5 Flash and DeepSeek V3.1?
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Key differences: Gemini 3.5 Flash has a notably higher capability index (14.6 point gap); DeepSeek V3.1 is significantly cheaper; only Gemini 3.5 Flash 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 3.5 Flash and DeepSeek V3.1 for free on idapt.app to see which performs better for your specific needs.