OpenAI o4-mini Model
Explore the OpenAI o4-mini model, a highly efficient and lightweight reasoning powerhouse. Discover how this AI model can transform your workflow!
🚀Function Overview
A reasoning model optimized for math, code, and visual tasks with tool integration capabilities for low-latency applications.
Key Features
- Optimized for math, code, and visual reasoning
- Agentic tool use (browsing, Python, image generation)
- Improved instruction following and conversational abilities
- Low-latency performance for high-throughput tasks
Use Cases
- •Real-time assistant applications
- •Structured reasoning with tool use (web/Python)
- •Document analysis and visual interpretation
- •High-throughput workflows with tight latency requirements
⚙️Input Parameters
prompt
stringThe prompt to send to the model. Do not use if using messages.
system_prompt
stringSystem prompt to set the assistant's behavior
image_input
arrayList of images to send to the model
reasoning_effort
stringConstrains effort on reasoning for reasoning models. Currently supported values are low, medium, and high. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response.
max_completion_tokens
integerMaximum number of completion tokens to generate
💡Usage Examples
Example 1
Input Parameters
{ "prompt": "What is the theme of the Iliad?", "system_prompt": "You only speak in mathematical terms.", "reasoning_effort": "high", "max_completion_tokens": 4096 }
Output Results
Quick Actions
Technical Specifications
- Hardware Type
- Run Count
- 4.3k
- Commercial Use
- Supported
- Pricing
- Priced by multiple properties
- Platform
- Replicate
Related Keywords
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