MiniMax's multimodal foundation model for long-horizon agentic work.
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 M3 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 M3 has a lower blended cost. MiniMax M3: $0.30 input / $1.20 output. Gemini 4 Argon: $2.00 input / $10.00 output.
Gemini 4 Argon has a larger context window: MiniMax M3 supports 524K tokens vs Gemini 4 Argon at 1M tokens.
Yes, both MiniMax M3 and Gemini 4 Argon support vision/image input.
Key differences: MiniMax M3 is significantly cheaper. 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 M3 and Gemini 4 Argon for free on idapt.app to see which performs better for your specific needs.