The OpenAI: o4 Mini High, introduced in April 2025, is a compact reasoning model that enhances the o4-mini by setting reasoning effort to high. With a generous context length of 200,000 tokens, it processes both text and images to produce text outputs. The model is designed to handle complex tasks efficiently, making it ideal for scenarios where quick, cost-effective processing is essential. It supports tool use and excels in STEM tasks, visual problem solving, and code editing, offering strong performance in benchmarks like AIME and SWE-bench. Its ability to chain tools and generate structured outputs quickly highlights its suitability for high-throughput environments.
Use Cases
Here are a few ways teams apply OpenAI: o4 Mini High in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.
Enhance STEM task accuracy and efficiency
Quickly solve visual problem-solving challenges
Optimize code editing processes
Efficiently handle high-throughput tasks
Generate structured outputs with minimal delay
Key Features
A quick look at the capabilities that make this model useful in real projects.
Compact reasoning model with high-efficiency
Processes both text and images to text
Generous context length of 200,000 tokens
Strong performance in STEM and visual tasks
Supports tool use and structured outputs
Ideal for high-throughput, cost-sensitive scenarios
Specs
Overview
Vendor
openai
Model ID
openai/o4-mini-high
Release
2025-04-16
Modalities & context
Input
image · text · file
Output
text
Context
200,000 tokens
Parameters & defaults
Supported parameters: include_reasoning, max_tokens, reasoning, response_format, seed, structured_outputs, tool_choice, tools
Defaults: temperature 0.2, top_p 0.95
Benchmark tests: OpenAI: o4 Mini High
We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.
Text
Prompt:
Write 150 words on how AI might positively upend work, leisure and creativity
Artificial intelligence promises to revolutionize traditional work environments, leisure activities, and creative pursuits by automating repetitive tasks, enabling personalized experiences, and unlocking new imaginative frontiers. In workplaces, AI-driven tools can handle data analysis, scheduling, and customer service, allowing employees to focus on strategic thinking and complex problem-solving. This shift could boost productivity while reducing burnout, fostering a healthier work–life balance. In leisure, AI-powered recommendations and virtual assistants tailor entertainment choices and travel plans to individual preferences, creating richer, more engaging experiences. Personalized fitness coaches, language tutors, and gaming companions adapt in real time, making hobbies more accessible and rewarding. Meanwhile, in creative fields, AI algorithms collaborate with artists, writers, and musicians to generate novel ideas, accelerate prototyping, and refine drafts, sparking a new era of human-machine co-creation. By amplifying human potential rather than replacing it, AI stands poised to elevate efficiency, enjoyment, and innovation across every facet of daily life.
Run this prompt on Upend.AI