The Ant Baoling large model has officially launched its official Web interactive platform — Ling Studio, providing developers and AI enthusiasts with a new space to explore models. AIbase learned that the platform currently offers very generous incentive policies, allowing users to get 500,000 free Tokens per day, greatly lowering the threshold for using cutting-edge large models.

Ling Studio deeply integrates multiple core models from Ant Baoling, including Ling-1T, which pursues ultra-fast response speed, Ring-1T, which is good at handling complex logical problems, and Ming-flash-omni-Preview, which has dual capabilities for image and audio recognition. AIbase learned that the platform not only provides an intuitive dialogue interface but also supports flexible parameter configuration and system prompt (System Prompt) customization, allowing users to finely adjust model performance according to different scenarios.
In addition, the platform integrates native web search tools, significantly enhancing the accuracy of the model when processing real-time information. For developers, the API interface provided by Ling Studio allows quick integration into existing applications, achieving seamless capability migration. The official revealed that in the future, the platform will unlock features such as file-based conversations, AI image generation, and more professional model skills (Skills), aiming to create a comprehensive AI interaction hub.
Key points:
🎁 Massive Free Quotas: Ling Studio provides each user with 500,000 free Tokens per day, supporting high-speed response and switching between various models for complex reasoning.
🛠️ All-Round Interaction Tool: The platform supports native web search, system prompt customization, and flexible parameter adjustment, and provides APIs for developers to quickly integrate.
🚀 Multimodal Evolution: In addition to the current capabilities for text, image, and audio recognition, the platform will also launch a series of expansion functions such as file-based conversation and image generation in the future.