MoonshotAI's large MoE model — 1T total parameters, 32B active.
Google's most intelligent Flash model, with significant gains over 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Kimi K2 and Gemini 3.8 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 has a lower blended cost. Kimi K2: $0.57 input / $2.30 output. Gemini 3.8 Flash: $0.75 input / $3.75 output.
Gemini 3.8 Flash has a larger context window: Kimi K2 supports 131K tokens vs Gemini 3.8 Flash at 1M tokens.
Gemini 3.8 Flash supports vision/image input, but Kimi K2 does not.
Key differences: only Gemini 3.8 Flash supports vision input; only Gemini 3.8 Flash offers extended reasoning mode. 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 and Gemini 3.8 Flash for free on idapt.app to see which performs better for your specific needs.