Google's fourth-generation open dense model with native multimodal understanding.
MiniMax's flagship MoE model with 1T parameters.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Gemma 4 31B and MiniMax M2 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. MiniMax M2: $0.26 input / $1.02 output.
Gemma 4 31B has a larger context window: Gemma 4 31B supports 262K tokens vs MiniMax M2 at 205K tokens.
Gemma 4 31B supports vision/image input, but MiniMax M2 does not.
Key differences: 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 MiniMax M2 for free on idapt.app to see which performs better for your specific needs.