o4-mini is OpenAI's compact reasoning model, bringing chain-of-thought capabilities to a smaller, faster, and more affordable package. It delivers impressive analytical performance on math, logic, and coding problems while maintaining the low latency needed for interactive applications.
For teams that need reasoning capabilities but can't afford the compute costs of o3, o4-mini offers an excellent compromise — handling most reasoning tasks with quality that approaches the full-size model at a fraction of the cost.
Key Features
Chain-of-thought reasoning in a compact model
Strong math, logic, and coding performance
Fast inference for interactive reasoning applications
Adjustable thinking budget for speed vs. depth tradeoff
Cost-efficient for high-volume analytical tasks
Ideal Use Cases
Interactive coding assistants with reasoning capabilities
Math tutoring and homework help applications
Automated code review with logical analysis
Quick analytical queries requiring structured thinking
Example Prompts for o4-mini
Technical Specifications
| Context Window | 200K tokens |
| Modality | Text, Image → Text |
| Provider | OpenAI |
| Category | Reasoning |
| Thinking Budget | Adjustable |
| Max Output | 100K tokens |
Frequently Asked Questions
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