gpt-5.1-all is this platform's chat-compatible endpoint for the GPT-5.1 series, bringing text communication, image understanding, and image generation into a single workflow. It is suitable for applications that require continuous discussion, analysis of text and visual materials, and creative progress, and can be used for content collaboration, technical explanations, and visual requirement communication. Developers can organize message history themselves or use managed conversations to iteratively advance tasks.
Clarify capacity, input/output, and invocation methods before selecting a model.
Understand the native version features of GPT-5.1 and the invocation methods of compatible endpoints separately; organize multimodal input, conversation management, and response handling according to the selected interface.
Learn what gpt-5.1-all can bring to your work.
gpt-5.1-all is suited to turning initial ideas into deliverable content: first provide the goal, audience, and expression constraints, then refine the structure and wording through follow-up questions. The GPT-5.1 series emphasizes natural communication and instruction following. When using it, you can explicitly request conclusions first, fewer terms, or preserved technical details, rather than accepting only one fixed writing style.
When providing images, also describe the subject of focus and the task, such as analyzing interface layouts, explaining screenshot content, or organizing common elements in visual materials. Textual constraints help the model focus on the issue, while images provide specific context. It is suitable for first forming observations, explanations, and revision suggestions, then continuing the discussion; image-based answers should not be treated as precise measurement results.
This entry point includes image generation capabilities, allowing you to discuss themes, subjects, color schemes, and composition around the same creative goal before making clear generation requests. Its value lies in connecting creative communication with image tasks; when fixed pixels, specialized editing parameters, or batch delivery are involved, use an image workflow with the corresponding controls.
Start with specific tasks to find where the model can be effective.
Submit product photos, existing copy, and the target audience, and request that visible features be organized first, followed by titles, selling-point paragraphs, and visual creative briefs. Tone and information order can then be adjusted in the same conversation. The deliverables are editable content drafts and design requirements; avoid having the model infer materials, certifications, or actual performance from appearance alone.
Provide code snippets, error text, or interface screenshots, describe the runtime environment, expected behavior, and steps already attempted, and request problem hypotheses, a checking sequence, and modification suggestions. The GPT-5.1 series emphasizes clearer explanations, making it suitable for turning complex concepts into actionable plans for discussion; modified code must still be tested in the actual environment.
Set task presets in AI Chat v2, enable stateful sessions, and save the returned id. When users add conditions, continue using that session so the assistant can gradually improve the draft or analysis results. The frontend can concatenate text_delta to display responses; when using JSON mode, directly read answer, reducing the work of maintaining the full history yourself.
Choose based on task complexity, input materials, and expected results.
GPT-5.1 Instant publicly emphasizes natural interaction, instruction following, and thinking on demand; Thinking places greater emphasis on sustained reasoning and clear explanations for complex problems. gpt-5.1-all is a compatible invocation endpoint, not a direct replacement for these two names. When you need to explicitly lock to a specific native version, choose the corresponding model; when you need image-text collaboration and unified chat access, consider this endpoint.
Applications with existing messages management logic are suited to Chat Completions; applications using input and response event handling can choose Responses. If you want to continue discussions through a conversation ID, or manage conversation titles and history, prioritize AI Chat v2. The legacy AI Chat is suitable for retaining simple question and answer integration; upgrading the interface itself does not represent an upgrade in model capabilities.
From a small-scale task to formal integration.
Define the goal, required inputs, and output requirements, using real business examples as a starting point.
Open the trial page, confirm the parameters supported by this endpoint, then submit a small-scale task to review the results.
Keep the complete model ID, use the request format specified in the documentation, and confirm billing rules on the Pricing page.
Before formal use, understand the scope of output quality and capabilities.
Answers to common questions about using gpt-5.1-all.
It is a chat-compatible invocation ID for the GPT-5.1 series and should not be considered the same model as the native gpt-5.1 or gpt-5.1-chat-latest. Use gpt-5.1-all for integration; if the task specifically requires Instant or Thinking, choose the corresponding native version endpoint.
When using Chat Completions, place text and image_url blocks in the content of the same message; when using AI Chat v2, you can organize text and images through the message array. It is recommended to specify the objects to inspect, comparison criteria, and output format, rather than uploading only an image without a specific task.
Yes, this endpoint has image generation capabilities. Creation requests should clearly describe the subject, scene, style, and composition, and explicitly request image generation rather than merely writing design suggestions. Image dimensions, quality control, and result parsing should be handled according to the specific creation workflow; do not reuse parameters from other image models.
When using AI Chat v2, enable stateful and save the returned id; subsequent requests can continue the discussion by including the same ID. With Chat Completions, the application organizes the messages history. Important constraints should be restated in phased tasks, and final deliverable versions should also be saved separately.
Generating code, proposing an operation plan, and executing actions are not the same thing. Function tools in the standard API require the application to receive and execute calls; the AI Chat v2 tool workflow depends on configured capabilities and authorization. When sending, publishing, or writing data is involved, check permissions and results rather than judging success solely based on the response.
Model information · Updated: 2026-10-01. For invocation parameters and billing rules, see the API and pricing sections.
Start with clear goals and evaluate whether it suits your work based on real results.
Pricing
$0.024· per request
You pay$13,584for 142,800 credits · $0.0951 / credits46% OFF
You're billed in credits. Pick a top-up tier to see its per-credit rate — the larger the top-up, the cheaper each credit.
This is only a basic call example. See the full docs for more parameters and advanced usage.
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