MiniMax's previous flagship model — strong long context and multimodal.
Google's fourth-generation open dense model with native multimodal understanding.
No shared demos for these models yet.
No captured outputs for these models yet.
Both MiniMax M1 and Gemma 4 31B 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. MiniMax M1: $0.55 input / $2.20 output. Gemma 4 31B: $0.12 input / $0.37 output.
MiniMax M1 has a larger context window: MiniMax M1 supports 1M tokens vs Gemma 4 31B at 262K tokens.
Gemma 4 31B supports vision/image input, but MiniMax M1 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 MiniMax M1 and Gemma 4 31B for free on idapt.app to see which performs better for your specific needs.