Technical Specifications of o4-mini
| Attribute | Details |
|---|---|
| Model ID | o4-mini |
| Provider | OpenAI |
| Model type | Reasoning model optimized for fast, cost-efficient performance. |
| Primary modalities | Text and image input; text output. |
| Strengths | Strong performance in math, coding, and visual reasoning tasks. |
| Relative positioning | A smaller o-series model designed for efficient reasoning workloads. |
| Status | Available in the API; OpenAI has stated there are no API changes tied to its retirement from ChatGPT. |
What is o4-mini?
o4-mini is an artificial intelligence model provided by OpenAI. It is a compact reasoning model in the o-series, designed to deliver fast and cost-efficient performance while still handling complex tasks effectively. OpenAI describes it as optimized for reasoning, with notable capability in coding, mathematics, and visual analysis.
This makes o4-mini a practical choice for developers who want stronger reasoning behavior than a basic lightweight model, while still prioritizing speed, efficiency, and broad applicability across text and image-based workflows.
Main features of o4-mini
- Fast reasoning performance:
o4-miniis built to respond with efficient reasoning, making it well-suited for applications that need stronger problem-solving without the overhead of a larger flagship model. - Cost-efficient operation: OpenAI positions
o4-minias a lower-cost reasoning option, which is useful for production workloads where token efficiency matters. - Strong coding and math capabilities: The model is described as particularly effective for programming, quantitative reasoning, and analytical tasks.
- Image-aware reasoning:
o4-minisupports image input and is part of OpenAI’s visual reasoning model line, enabling workflows that combine text understanding with image analysis. - API availability: Developers can access
o4-minithrough OpenAI API-compatible workflows, making it suitable for integration into applications, automations, and internal tools.
How to access and integrate o4-mini
Step 1: Sign Up for API Key
To access the o4-mini API through CometAPI, first register for a CometAPI account and generate your API key from the dashboard. After obtaining the key, store it securely and use it in your application’s authorization header for all API requests.
Step 2: Send Requests to o4-mini API
Once you have your API key, send requests to the CometAPI endpoint using o4-mini as the model name. Example:
curl https://api.cometapi.com/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $COMETAPI_API_KEY" \
-d '{
"model": "o4-mini",
"messages": [
{
"role": "user",
"content": "Explain the advantages of efficient reasoning models."
}
]
}'
Step 3: Retrieve and Verify Results
The API response will return the model’s generated output in a structured JSON format. You should parse the response, extract the assistant message, and validate that the output matches your application’s expected format, quality, and safety requirements before using it in production.