Following the release of Anthropic’s Claude Opus 5.5, users discovered they could generate sophisticated creative front-end outputs with just a single-sentence prompt. This ability made front-end generation a clear indicator of a large model’s potential. Shortly after, MiniMax introduced the M3.1-Flash-Preview model, which can replicate Opus 5.5’s creative front-end effects without requiring multiple attempts. It supports complex tasks such as generating complete card-drawing game processes, producing hand-drawn animations with synchronized audio and visuals, and creating interactive 3D scenes.

The foundation of these capabilities lies in the model’s integrated multimodal training approach during pre-training. This method establishes a feedback loop between visual and code elements, enhanced by MiniMax’s extensive experience in intent understanding and visual style management. Today, these advanced features are being quickly integrated into cost-effective Flash-tier models, accelerating the transition toward a model of human-AI collaboration based on task delegation. In creative tasks, humans will increasingly focus on defining problems and making aesthetic decisions, while AI will reduce barriers to implementation.

The current landscape of large models is defined by two trends: flagship models that continually push the boundaries of capability and cost-effective models that efficiently handle everyday tasks. The speed at which cutting-edge capabilities are integrated has increased dramatically, shifting from quarterly updates to daily advancements.