ChatGPT Plus has recently received several important feature updates, including the GPT-4o multimodal model, the o-series reasoning models, and a comprehensive upgrade to custom GPTs. These new capabilities give Plus users a smarter and more personalized AI experience—whether in daily conversations, professional analysis, or creative tasks, the improvements are noticeable. Below is a detailed look at these changes.
1. GPT-4o All-in-One Multimodal Model Delivers a New Interaction Experience
ChatGPT Plus users can now access the GPT-4o model first—OpenAI's all-purpose multimodal model. Compared to previous versions, GPT-4o not only handles text input but also processes voice, images, and video in real time, enabling truly natural human-computer conversations. For example, you can talk to it via microphone, and it can detect your tone and emotions—even recognizing your breathing after a workout and offering thoughtful responses.
GPT-4o’s visual capabilities are equally impressive. It can describe objects in your surroundings to help visually impaired users understand their environment, or guide you step-by-step through a math problem like a tutor. Plus, GPT-4o responds twice as fast as GPT-4, and Plus users can send up to 80 messages every three hours—five times the limit for free users—making daily use smoother and more fluid.
2. o-Series Reasoning Models Join the Plus Lineup for Complex Problems
Beyond GPT-4o, ChatGPT Plus now includes specialized reasoning models like o3, o4-mini, and o4-mini-high. These models are designed for science, programming, math, and other scenarios that require multi-step logical analysis. o3 is the most advanced reasoning model, capable of "thinking with images"—using Python tools to analyze quantities, relationships, and other visual elements in pictures—ideal for academic research and technical documentation.
o4-mini focuses on efficiency, offering fast reasoning at a lower cost, perfect for quick daily tasks. If you need deeper visual reasoning, you can switch to o4-mini-high mode. When tackling complex questions, these models first engage in internal "thinking" before delivering detailed, well-structured conclusions—greatly enhancing practical use in professional settings.

