GPT 5 Structured is a large language model built for situations where the format of the answer matters as much as the answer itself. When you need AI output that drops directly into a spreadsheet, a database, or an API call, generic prose responses create extra work. This model lets you define exactly what the output should look like, then produces text that conforms to that shape every time. You can pass it a JSON schema or build one from a simple list of field definitions, and the model will return data that matches. Web search can be switched on when you need responses grounded in current information rather than training data. You can also define custom tools the model is allowed to call during generation, giving you control over what it fetches, calculates, or retrieves before writing its answer. This fits naturally into any workflow where downstream code needs to read AI-generated content without extra cleaning steps. Content pipelines, data extraction tasks, form auto-fill, classification jobs - if the consumer of your output expects a specific format, GPT 5 Structured removes the step where you parse and reformat by hand. Set your schema once, run the model, and pipe the result straight to wherever it needs to go.
GPT 5 Structured is a large language model built for tasks where the output format matters as much as the content itself. Whether you're pulling structured data from a document, building a form processor, or generating reports that feed directly into another system, it lets you define the exact shape of the response as a JSON schema and get back clean, machine-ready data every time. On Picasso IA, you can run GPT 5 Structured without writing a single line of code. Set your schema in the interface, write your prompt, and the model handles the rest. It also supports web search and custom tool calls, so it can reach beyond its training data when your task requires current information.
Do I need programming skills or technical knowledge to use this? No, just open GPT 5 Structured on Picasso IA, adjust the settings you want, and hit generate.
Is it free to try? Yes, you can run GPT 5 Structured on Picasso IA without any upfront payment. Check the credits page for details on usage limits and available runs.
How long does it take to get results? Most responses return in a few seconds on minimal reasoning effort. Higher reasoning settings take a bit longer, particularly on complex tasks that require the model to work through several steps before answering.
What output formats are supported? The model returns structured JSON matching the schema you define. You can specify simple types like strings, booleans, numbers, and lists, or provide a full JSON schema for more detailed control over the response shape.
Can I build on a previous response or run multi-turn tasks? Yes. Pass in a previous response ID and the model will continue from that context, which makes it straightforward to build multi-step workflows where each call builds on the last.
What happens if the model cannot fill a field in my schema? The model will still return a valid JSON object that conforms to your schema. Fields it cannot fill with confidence may come back as null or an empty value. Enabling web search reduces this by giving the model access to current information before it responds.
Where can I use the outputs? The JSON response works directly in spreadsheets, databases, CMS platforms, no-code automation tools, and custom applications. Because the format is defined upfront, no post-processing is needed.
Everything this model can do for you
Define a JSON schema and every response conforms to it, no post-processing required.
Toggle live web access on to ground responses in up-to-date information.
Pass tool definitions to let the model call external functions before generating its final answer.
Set response length to low, medium, or high to match concise answers or detailed explanations.
Choose from minimal to high reasoning depth to balance speed against thoroughness.
Send images alongside text prompts for tasks that require visual context.
Reference a previous response ID to continue a multi-turn conversation without repeating context.
Choose between three capability levels to match your task complexity and cost requirements.
