OpenAI O3
OpenAI O3 is a reasoning model developed by OpenAI that specializes in handling complex multi-step tasks across coding, mathematics, science, and visual perception. It integrates multiple tools such as web search, Python code execution, and image analysis within its chain-of-thought reasoning process, enabling it to perform tasks like forecasting with public data, generating graphs, and technical writing. The model supports image inputs with native transformations including cropping, zooming, and rotating during reasoning, without relying on separate models. OpenAI O3 is accessible through ChatGPT subscriptions (Plus, Team, Pro) and APIs including Chat Completions and Responses API. Key capabilities include a large 200,000 token context window, adjustable reasoning effort levels, and support for function calling and structured outputs. The model achieves state-of-the-art performance benchmarks on coding platforms such as Codeforces and SWE-bench, as well as in scientific reasoning tasks like MMMU. A higher compute variant, o3-pro, offers more reliable responses for difficult problems but operates at slower speeds and does not support streaming.
OpenAI O3 is a multi-modal reasoning model designed for complex coding, math, science, and visual tasks with integrated tool use.
Complex Coding Problem Solving
Developers can use OpenAI O3 to solve multi-step coding challenges on platforms like Codeforces and SWE-bench.
Scientific and Mathematical Reasoning
Researchers and students can leverage O3 for complex math and science problems, including tasks benchmarked by MMMU.
Visual Data Analysis
Users can input images for analysis involving cropping, zooming, and rotating to extract insights or generate visual content.