openai/gpt-5.1 📝❓🖼️🔢 → 📝
About
The best model for coding and agentic tasks with configurable reasoning effort.
Example Output
Prompt:
"How many fingers are in this photo?"
Input Images
Input 1
Output
There are 7 fingers in the photo.
Performance Metrics
17.96s
Prediction Time
18.06s
Total Time
All Input Parameters
{
"prompt": "How many fingers are in this photo?",
"messages": [],
"verbosity": "medium",
"image_input": [
"https://replicate.delivery/pbxt/O3rVFFvkwFCIWUFmtXz2VLjhVfLOaBNQSrkRlIJUkipN0zjR/fingies.jpg"
],
"reasoning_effort": "high"
}
Input Parameters
- prompt
- The prompt to send to the model. Do not use if using messages.
- messages
- 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.
- verbosity
- 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.
- image_input
- List of images to send to the model
- system_prompt
- System prompt to set the assistant's behavior
- reasoning_effort
- Constrains effort on reasoning for GPT-5.1. Supported values are none, low, medium, and high.
- max_completion_tokens
- 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).
Output Schema
Output
Example Execution Logs
Model variant: gpt-5.1 Input token count: 644 Output token count: 757 - Reasoning tokens: 742 Total token count: 1401 TTFT: 0.22s
Version Details
- Version ID
6fefc0acd5f42b1112d3e5dd57b42823e68b2ce68cad753eed05d24a96e2d35b- Version Created
- November 14, 2025