O4 Mini
O4 Mini is OpenAI’s compact reasoning model, combining tool use and multimodal analysis with lower latency and cost.
Overview
O4 Mini is a smaller member of OpenAI’s o-series, built for strong reasoning at a lower cost than flagship reasoning models. It emphasizes step-by-step problem solving, tool use, and multimodal inputs while maintaining faster response times. O4 Mini is a strong choice for coding, mathematical analysis, and visual reasoning workflows that still need depth but must scale.
Capabilities
- Reasoning-first architecture tuned for multi-step analysis
- Tool and function calling to augment calculations and workflows
- Vision and multimodal inputs for diagrams, screenshots, and charts
- Effort controls to trade off speed versus depth
Strengths
- Strong performance on coding and math with lower cost
- Good balance between speed and deep reasoning
- Works well for technical triage and decision support
- Suitable for tool-augmented agent workflows
Limitations and Considerations
- Not as capable as larger o-series models on the hardest problems
- Longer reasoning runs increase latency and token usage
- Best results require clear problem decomposition
Best Use Cases
O4 Mini is ideal for:
- Code review and debugging
- Algorithm design and optimization
- Visual content analysis
- Technical problem-solving
- Mathematics and logic puzzles
Technical Details
Supported Features
chatfunctionsreasoningimage
Tags
beta