openai/gpt-4o

OpenAI's high-intelligence chat model

Capabilities

Reference ImagesSystem PromptTop-P

Cost

Community model (estimated from hardware time)

Input Parameters

Name	Type	Description	Default	Constraints
`frequency_penalty`	number	Frequency penalty parameter - positive values penalize the repetition of tokens.	`0`	min: -2, max: 2
`image_input`	array	List of images to send to the model		—
`max_completion_tokens`	integer	Maximum number of completion tokens to generate	`4096`	—
`messages`	array	A JSON string representing a list of messages. For example: [{"role": "user", "content": "Hello, how are you?"}]. If provided, prompt and system_prompt are ignored.		—
`presence_penalty`	number	Presence penalty parameter - positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.	`0`	min: -2, max: 2
`prompt`	string	The prompt to send to the model. Do not use if using messages.	`—`	—
`system_prompt`	string	System prompt to set the assistant's behavior	`—`	—
`temperature`	number	Sampling temperature between 0 and 2	`1`	min: 0, max: 2
`top_p`	number	Nucleus sampling parameter - the model considers the results of the tokens with top_p probability mass. (0.1 means only the tokens comprising the top 10% probability mass are considered.)	`1`	min: 0, max: 1

frequency_penaltynumber

Frequency penalty parameter - positive values penalize the repetition of tokens.

Default: 0min: -2, max: 2

image_inputarray

List of images to send to the model

Default:

max_completion_tokensinteger

Maximum number of completion tokens to generate

Default: 4096

messagesarray

A JSON string representing a list of messages. For example: [{"role": "user", "content": "Hello, how are you?"}]. If provided, prompt and system_prompt are ignored.

Default:

presence_penaltynumber

Presence penalty parameter - positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.

Default: 0min: -2, max: 2

promptstring

The prompt to send to the model. Do not use if using messages.

system_promptstring

System prompt to set the assistant's behavior

temperaturenumber

Sampling temperature between 0 and 2

Default: 1min: 0, max: 2

top_pnumber

Nucleus sampling parameter - the model considers the results of the tokens with top_p probability mass. (0.1 means only the tokens comprising the top 10% probability mass are considered.)

Default: 1min: 0, max: 1

Version: 42f4eb858641Updated: 7/25/2026526.4K runs