The OpenAI: o3 model, released in April 2025, offers a robust solution for tasks involving text and image inputs, with text outputs. With a context window of 200,000 tokens, it excels in math, science, coding, and visual reasoning, making it ideal for technical writing and instruction-following. The model is designed to handle multi-step problems by analyzing text, code, and images, providing comprehensive solutions. Its versatility in handling various input modalities and producing structured text outputs makes it a valuable tool for complex problem-solving.
Use Cases
Here are a few ways teams apply OpenAI: o3 in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.
Solve complex math problems
Analyze scientific data
Develop and debug code
Create detailed technical documents
Follow multi-step instructions
Key Features
A quick look at the capabilities that make this model useful in real projects.
Handles text and image inputs
Text output with structured options
200,000 token context window
Excels in math, science, coding
Strong visual reasoning skills
Supports technical writing tasks
Specs
Overview
Vendor
openai
Model ID
openai/o3
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: o3
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 recast work, leisure and creativity in complementary, exhilarating ways. Routine drudgery—budget reconciliation, compliance audits, help-desk triage—will be delegated to tireless learning systems, shrinking the workweek and freeing humans for higher-order judgment and empathy. Instead of obsessing over tasks, employees will orchestrate flows of insight generated by algorithms, becoming strategic curators rather than overwhelmed executors.
The slack reclaimed from the calendar migrates to leisure. Personalized generative companions can design fitness plans, immersive language journeys or dynamic travel itineraries matched to mood and budget, turning free time into rich, continuous self-development. Social platforms enhanced by real-time translation and sentiment analysis dissolve linguistic and cultural barriers, widening our circles of play.
Creativity, finally, is catalyzed. Artists converse with models that remix centuries of styles, scientists simulate hypotheses in silico before lifting a pipette, and children prototype games with spoken prompts. AI doesn’t replace imagination; it multiplies its surface area.
Run this prompt on Upend.AI