Google's high-speed thinking model for agentic workflows, chat, and coding.
Updated DeepSeek R1 with performance on par with OpenAI o1.
No shared demos for these models yet.
No captured outputs for these models yet.
Based on the Capability Index, Gemini 3.5 Flash scores higher (86.2 vs 74.5). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.
DeepSeek R1 (0528) has a lower blended cost. Gemini 3.5 Flash: $1.50 input / $9.00 output. DeepSeek R1 (0528): $0.50 input / $2.15 output.
Gemini 3.5 Flash has a larger context window: Gemini 3.5 Flash supports 1M tokens vs DeepSeek R1 (0528) at 164K tokens.
Gemini 3.5 Flash supports vision/image input, but DeepSeek R1 (0528) does not.
Key differences: Gemini 3.5 Flash has a notably higher capability index (11.7 point gap); DeepSeek R1 (0528) is significantly cheaper; only Gemini 3.5 Flash supports vision input. Compare full specs on this page.
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 (0528) for free on idapt.app to see which performs better for your specific needs.