Google's fourth-generation open dense model with native multimodal understanding.
Kimi K2 with always-on extended reasoning for complex problem solving.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Gemma 4 31B and Kimi K2 Thinking 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.
Gemma 4 31B has a lower blended cost. Gemma 4 31B: $0.12 input / $0.37 output. Kimi K2 Thinking: $0.60 input / $2.50 output.
Gemma 4 31B has a larger context window: Gemma 4 31B supports 262K tokens vs Kimi K2 Thinking at 262K tokens.
Gemma 4 31B supports vision/image input, but Kimi K2 Thinking does not.
Key differences: Gemma 4 31B is significantly cheaper; only Gemma 4 31B 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 Gemma 4 31B and Kimi K2 Thinking for free on idapt.app to see which performs better for your specific needs.