MiniMax's previous flagship model — strong long context and multimodal.
Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents.
No shared demos for these models yet.
No captured outputs for these models yet.
Both MiniMax M1 and Gemini 4 Argon 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.
MiniMax M1 has a lower blended cost. MiniMax M1: $0.55 input / $2.20 output. Gemini 4 Argon: $2.00 input / $10.00 output.
Gemini 4 Argon has a larger context window: MiniMax M1 supports 1M tokens vs Gemini 4 Argon at 1M tokens.
Gemini 4 Argon supports vision/image input, but MiniMax M1 does not.
Key differences: MiniMax M1 is significantly cheaper; only Gemini 4 Argon 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 Gemini 4 Argon for free on idapt.app to see which performs better for your specific needs.