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openai/gpt-5-pro
The smartest, fastest, most useful model yet, with built-in thinking that puts expert-level intelligence in everyone’s hands
Capabilities
Cost
Community model (estimated from hardware time)
Input Parameters
| Name | Type | Description | Default | Constraints |
|---|---|---|---|---|
image_input | array | List of images to send to the model | | — |
max_completion_tokens | integer | Maximum number of completion tokens to generate. For higher reasoning efforts you may need to increase your max_completion_tokens to avoid empty responses (where all the tokens are used on reasoning). | — | — |
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. | | — |
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 | — | — |
verbosity | string | Constrains the verbosity of the model's response. Lower values will result in more concise responses, while higher values will result in more verbose responses. Currently supported values are low, medium, and high. GPT-5 supports this parameter to help control whether answers are short and to the point or long and comprehensive. | "medium" | lowmediumhigh |
image_inputarrayList of images to send to the model
max_completion_tokensintegerMaximum number of completion tokens to generate. For higher reasoning efforts you may need to increase your max_completion_tokens to avoid empty responses (where all the tokens are used on reasoning).
messagesarrayA JSON string representing a list of messages. For example: [{"role": "user", "content": "Hello, how are you?"}]. If provided, prompt and system_prompt are ignored.
promptstringThe prompt to send to the model. Do not use if using messages.
system_promptstringSystem prompt to set the assistant's behavior
verbositystringConstrains the verbosity of the model's response. Lower values will result in more concise responses, while higher values will result in more verbose responses. Currently supported values are low, medium, and high. GPT-5 supports this parameter to help control whether answers are short and to the point or long and comprehensive.
"medium"0e984ca8bb15Updated: 7/25/20264.8K runs