Google's fourth-generation open dense model with native multimodal understanding.
Xiaomi's native omnimodal model delivering Pro-level agentic performance at roughly half the inference cost.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Gemma 4 31B and MiMo V2.5 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.
MiMo V2.5 has a lower blended cost. Gemma 4 31B: $0.12 input / $0.37 output. MiMo V2.5: $0.14 input / $0.28 output.
MiMo V2.5 has a larger context window: Gemma 4 31B supports 262K tokens vs MiMo V2.5 at 1M tokens.
Yes, both Gemma 4 31B and MiMo V2.5 support vision/image input.
Gemma 4 31B and MiMo V2.5 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 MiMo V2.5 for free on idapt.app to see which performs better for your specific needs.