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

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