Is gpt-5.2 the same as GPT‑5.2 Thinking?
Yes. OpenAI maps GPT‑5.2 Thinking to the API name gpt-5.2. Instant uses gpt-5.2-chat-latest, and Pro uses gpt-5.2-pro. When calling this model, select gpt-5.2; do not interpret it as Instant just because it belongs to the chat category.
How do I use GPT‑5.2 to analyze images?
You can provide both text and image_url in the message content of Chat Completions, and clearly specify the charts, areas, or relationships you want it to read. It is suitable for analyzing screenshots and technical diagrams and returns textual explanations; for small annotations, provide clear cropped images, and for important values, also provide text data.
When is it worth using xhigh?
Complex code diagnosis, comparing solutions with multiple constraints, and difficult reasoning are better suited to trying xhigh. It emphasizes reasoning quality rather than using the highest intensity for every simple question. Responses uses the reasoning configuration, while Chat Completions uses reasoning_effort; you can adjust them according to task difficulty and compare results.
How should I choose among the three options?
For existing conversational programs using messages, choose Chat Completions; if you want to organize interactions around input, reasoning, and tools, choose Responses. For simple Q&A or if you do not want to pass the full conversation history yourself, choose AI Chat, ask using question, and continue the conversation with stateful=true and the returned id.
Can GPT‑5.2 output JSON or directly perform fixes?
Chat Completions can be configured for JSON or JSON Schema output, which is suitable for delivering classification results, issue lists, and analysis fields; your program still needs to validate the content. Performing fixes requires the application to provide tools and permissions; the model generating code or a function call request does not mean the modification is complete or tests have passed.
