OpenAI's o3 Pro, released in June 2025, is part of the o-series models designed to excel in complex reasoning tasks. This model utilizes reinforcement learning to enhance its thinking capabilities, ensuring consistent and thoughtful responses. With a substantial context length of 200,000 tokens, the o3 Pro can process extensive text and image inputs to generate detailed text outputs. It supports various input modalities, including text, files, and images, making it versatile for diverse applications. Key parameters such as 'include_reasoning' and 'max_tokens' allow users to tailor the model's performance to specific needs. Note that the o3 Pro requires BYOK setup for integration.
Use Cases
Here are a few ways teams apply OpenAI: o3 Pro in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.
Generate detailed reports from text and images
Perform complex reasoning tasks
Tailor responses with customizable parameters
Integrate with existing systems using BYOK
Key Features
A quick look at the capabilities that make this model useful in real projects.
Trained with reinforcement learning
Processes text and images to generate text
Supports extensive 200,000 token context
Requires BYOK setup for integration
Customizable with key parameters
Specs
Overview
Vendor
openai
Model ID
openai/o3-pro
Release
2025-06-10
Modalities & context
Input
text · file · image
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 Pro
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
The OpenAI o3 Pro is a versatile AI model designed for a range of applications, including natural language processing, text generation, and data analysis. It is equipped with advanced algorithms that enable it to understand and generate human-like text, making it suitable for tasks such as content creation, customer support automation, and language translation. The model is optimized for performance, allowing for efficient processing of large datasets and quick response times.
Typical use cases include chatbots, virtual assistants, and automated report generation, where the ability to generate coherent and contextually relevant text is essential. However, users should be aware of certain constraints, such as potential biases in generated content and the need for human oversight in critical applications. Additionally, the model's performance may vary depending on the complexity of the input and the specificity of the task. Overall, the OpenAI o3 Pro serves as a powerful tool for enhancing productivity and streamlining workflows in various industries.
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