Updated DeepSeek R1 with performance on par with OpenAI o1.
Google's high-efficiency model for focused subagent work and multi-agent workflows.
No shared agent demos for these models yet.
No captured outputs for these models yet.
This model hasn't been benchmarked yet.
Both DeepSeek R1 (0528) and Gemini 3.5 Flash-Lite are capable AI models. The best choice depends on your specific use case: consider pricing, context window, speed, and which capabilities (vision, reasoning, audio) you need.
Gemini 3.5 Flash-Lite has a lower blended cost. DeepSeek R1 (0528): $0.50 input / $2.15 output. Gemini 3.5 Flash-Lite: $0.30 input / $2.50 output.
Gemini 3.5 Flash-Lite has a larger context window: DeepSeek R1 (0528) supports 164K tokens vs Gemini 3.5 Flash-Lite at 1M tokens.
Gemini 3.5 Flash-Lite supports vision/image input, but DeepSeek R1 (0528) does not.
Key differences: only Gemini 3.5 Flash-Lite 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 DeepSeek R1 (0528) and Gemini 3.5 Flash-Lite for free on idapt.app to see which performs better for your specific needs.