MODEL ID openai:gpt@5.4-mini
coming-soon

GPT-5.4 Mini

OpenAI
by OpenAI

GPT-5.4 Mini is a compact, efficient variant of GPT-5.4 designed for coding assistants, subagent orchestration, and multimodal applications requiring faster responsiveness. It supports a 400K token context window and retains native computer use and configurable reasoning effort at a lower cost than the flagship model.

GPT-5.4 Mini

API Options

Platform-level options for task execution and delivery.

taskType

string required value: textInference

Identifier for the type of task being performed

taskUUID

string required UUID v4

UUID v4 identifier for tracking tasks and matching async responses. Must be unique per task.

webhookURL

string URI

Specifies a webhook URL where JSON responses will be sent via HTTP POST when generation tasks complete. For batch requests with multiple results, each completed item triggers a separate webhook call as it becomes available.

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deliveryMethod

string default: sync

Determines how the API delivers task results.

Allowed values 3 values
Returns complete results directly in the API response.
Returns an immediate acknowledgment with the task UUID. Poll for results using getResponse.
Streams results token-by-token as they are generated.
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includeCost

boolean default: true

Include task cost in the response.

numberResults

integer min: 1 max: 4 default: 1

Number of results to generate. Each result uses a different seed, producing variations of the same parameters.

includeUsage

boolean default: false

Include token usage statistics in the response.

Inputs

Input resources for the task (images, audio, etc). These must be nested inside the inputs object.

inputs » images

images

array of strings min items: 1

Array of image inputs (UUID, URL, Data URI, or Base64).

Generation Parameters

Core parameters for controlling the generated content.

model

string required value: openai:gpt@5.4-mini

Identifier of the model to use for generation.

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seed

integer min: 0 max: 9223372036854776000

Random seed for reproducible generation. When not provided, a random seed is generated in the unsigned 32-bit range.

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messages

array of objects required min items: 1

Array of chat messages forming the conversation context.

Properties 2 properties
messages » role

role

string required

The role of the message author.

Allowed values 2 values
messages » content

content

string required min: 1

The text content of the message.

Settings

Technical parameters to fine-tune the inference process. These must be nested inside the settings object.

settings » systemPrompt

systemPrompt

string min: 1 max: 200000

System-level instruction that guides the model's behavior and output style across the entire generation.

settings » temperature

temperature

float min: 0 max: 2 step: 0.01 default: 1

Controls randomness in generation. Lower values produce more deterministic outputs, higher values increase variation and creativity.

settings » topP

topP

float min: 0 max: 1 step: 0.01 default: 0.95

Nucleus sampling parameter that controls diversity by limiting the probability mass. Lower values make outputs more focused, higher values increase diversity.

settings » maxTokens

maxTokens

integer min: 1 max: 128000 default: 4096

Maximum number of tokens to generate in the response.

settings » thinkingLevel

thinkingLevel

string

Controls the depth of internal reasoning the model performs before generating a response.

Allowed values 4 values
settings » toolChoice

toolChoice

object

Controls how the model selects which tool to call.

Properties 2 properties
settings » toolChoice » type

type

string required

Tool selection strategy.

Allowed values 4 values
Model decides whether to call a tool.
Model must call at least one tool.
Model must call the specified tool.
Model must not call any tool.
settings » toolChoice » name

name

string

Name of the tool to call.

settings » tools

tools

array of objects

Function definitions available for the model to call. Each tool is a JSON Schema object describing the function signature.