GPT Image 1 is a natively multimodal language model that accepts both text and image inputs, and produces image outputs.

gpt-image-1

Sets a general size parameter used by selected models or generators.

Controls how many candidate responses are generated for one request.

Sets the output quality level, usually trading speed for fidelity.

GPT-4o provides a balance between intelligence, speed, and cost that makes it an attractive model for many use cases.

gpt-4o

Controls the creativity of responses. Higher values (e.g., 0.7) increase creativity; lower values (e.g., 0.2) make responses more predictable.

Specifies the maximum number of text units (tokens) allowed in a response, limiting its length.

Lists tool definitions or capabilities available to the model.

Decides whether to use tools or just the model for generating responses.

Defines the format or type of the generated response.

Enables parallel execution of tools, allowing multiple tools to run simultaneously.

Sends the response in real-time as it's being generated.

GPT-4o mini (“o” for “omni”) is a fast, affordable small model for focused tasks. It accepts both text and image inputs, and produces text outputs (including Structured Outputs). It is ideal for fine-tuning, and model outputs from a larger model like GPT-4o can be distilled to GPT-4o-mini to produce similar results at lower cost and latency.

gpt-4o-mini

GPT-4.1 is our flagship model for complex tasks. It is well suited for problem solving across domains.

gpt-4.1

GPT-4.1 mini provides a balance between intelligence, speed, and cost that makes it an attractive model for many use cases.

gpt-4.1-mini

GPT-4.1 nano is the fastest, most cost-effective GPT-4.1 model.