We ran the same prompt and identical starting context on MiniMax-M2.1 and Claude Sonnet 4.5. MiniMax-M2.1 by MiniMax (official) reached a usable result faster, required fewer structural fixes, and produced a more consistent visual and interaction flow from the first pass. To test this properly, we asked both models... to build a complex single-page web animation with real-world visual and physics constraints. Comparison video below 👇show more

The task was intentionally demanding. We asked for a sunrise-to-sunset animation where: • the sun moves realistically across the sky • sky colors shift based on time of day • shadows change direction and length accurately • the animation can play, pause, and reset This combines layout logic, animation timing, visual reasoning, and interaction handling. MiniMax-M2.1 handled these requirements cleanly in one pass.

Why MiniMax-M2.1 performed better in this comparison: • stronger UI and visual reasoning • more stable animation structure • better handling of multiple constraints together • less manual correction needed to reach a usable result That difference matters when building interactive front-end demos, creative tools, or visual web experiences.

This is not a toy example. It reflects real creative and front-end development workflows where accuracy, interaction flow, and code structure all matter. If you want to try MiniMax-M2.1 in your own workflows: Docs and API Coding plans

@MiniMax_AI which is better MiniMax-M2.1 or GLM-4.7?

@MiniMax_AI Impressive 👏

@MiniMax_AI Minimal has been very capable in my limited testing. It is my second most used model the past week.

@MiniMax_AI Why is everyone comparing models with sonnet 4.5. Compare it with opus

@MiniMax_AI Interesting comparison