This content originally appeared on DEV Community and was authored by aimodels-fyi
This is a simplified guide to an AI model called Gpt-4o-Mini maintained by Openai. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
gpt-4o-mini is a streamlined variant of gpt-4o optimized for speed and cost efficiency. Developed by OpenAI, this model balances performance with resource utilization.
Model inputs and outputs
The model processes text inputs with configurable parameters to control response generation. It supports both standard prompts and system-level instructions to guide behavior.
Inputs
- Prompt: Main text input for generation
- System Prompt: Instructions to shape assistant behavior
- Image Input: List of image URLs for processing
- Temperature: Control response randomness (0-2)
- Max Completion Tokens: Limit output length (default 4096)
- Top P: Control token sampling breadth
- Frequency/Presence Penalties: Parameters to reduce repetition
Outputs
- Text responses formatted as concatenated string arrays
Capabilities
The model processes both text and image...
Click here to read the full guide to Gpt-4o-Mini
This content originally appeared on DEV Community and was authored by aimodels-fyi
aimodels-fyi | Sciencx (2025-11-28T01:44:42+00:00) A beginner’s guide to the Gpt-4o-Mini model by Openai on Replicate. Retrieved from https://www.scien.cx/2025/11/28/a-beginners-guide-to-the-gpt-4o-mini-model-by-openai-on-replicate/
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