Kimi K2 with always-on extended reasoning for complex problem solving.
Google's high-efficiency model for coding, agentic workflows, and web and app development.
No shared agent demos for these models yet.
No captured outputs for these models yet.
This model hasn't been benchmarked yet.
Both Kimi K2 Thinking and Gemini 3.6 Flash 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.
Kimi K2 Thinking has a lower blended cost. Kimi K2 Thinking: $0.60 input / $2.50 output. Gemini 3.6 Flash: $1.50 input / $7.50 output.
Gemini 3.6 Flash has a larger context window: Kimi K2 Thinking supports 262K tokens vs Gemini 3.6 Flash at 1M tokens.
Gemini 3.6 Flash supports vision/image input, but Kimi K2 Thinking does not.
Key differences: Kimi K2 Thinking is significantly cheaper; only Gemini 3.6 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 Kimi K2 Thinking and Gemini 3.6 Flash for free on idapt.app to see which performs better for your specific needs.