Google's fourth-generation open dense model with native multimodal understanding.
MoonshotAI's 2.8T-parameter flagship for complex coding, knowledge work, and long-horizon agent runs.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Gemma 4 31B and Kimi K3 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: $0.20 input / $0.40 output. Kimi K3: $0.30 input / $11.94 output.
Kimi K3 has a larger context window: Gemma 4 31B supports 262K tokens vs Kimi K3 at 1M tokens.
Yes, both Gemma 4 31B and Kimi K3 support vision/image input.
Gemma 4 31B and Kimi K3 have similar overall capabilities. The main differences lie in pricing, context window size, and provider-specific strengths. Use this comparison page to review all metrics side by side.
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 K3 for free on idapt.app to see which performs better for your specific needs.