Gemini 3.5 Flash vs DeepSeek R1
Google's high-speed thinking model for agentic workflows, chat, and coding.
Open-source reasoning model matching OpenAI o1 performance.
No captured outputs for these models yet.
Frequently Asked Questions: Gemini 3.5 Flash vs DeepSeek R1▼
Which is better, Gemini 3.5 Flash or DeepSeek R1?
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Based on the Capability Index, Gemini 3.5 Flash scores higher (86.2 vs 72.4). 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 R1?
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DeepSeek R1 has a lower blended cost. Gemini 3.5 Flash: $1.50 input / $9.00 output. DeepSeek R1: $0.70 input / $2.50 output.
Which has a larger context window, Gemini 3.5 Flash or DeepSeek R1?
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Gemini 3.5 Flash has a larger context window: Gemini 3.5 Flash supports 1M tokens vs DeepSeek R1 at 64K tokens.
Do both Gemini 3.5 Flash and DeepSeek R1 support vision?
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Gemini 3.5 Flash supports vision/image input, but DeepSeek R1 does not.
What are the key differences between Gemini 3.5 Flash and DeepSeek R1?
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Key differences: Gemini 3.5 Flash has a notably higher capability index (13.8 point gap); DeepSeek R1 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 R1 for free on idapt.app to see which performs better for your specific needs.