OpenAI rolls out o3-Pro, its most capable reasoning model yet
The O3-Pro model has been designed to handle complex tasks with use cases spanning across fields like technology and education. Another notable aspect of the o3-pro model is the massive price cuts. The model costs $20 for input and $80 for output per million tokens, and this is nearly 87 per cent cheaper than o1-pro. On the other hand, the base o3 model price dropped by 80 per cent to $2/$8 per million tokens.
The new model comes with enhanced reasoning. Reportedly expert evaluations consistently opted for the o3-pro over the regular o3 model across categories. The new model has shown remarkable performance in programming, science, and even business tasks. When compared to previous reasoning models, the o3-pro model can search the web, analyse files, run Python code, remember conversations, etc.
In expert evaluations, reviewers consistently prefer OpenAI o3-pro over o3, highlighting its improved performance in key domains—including science, education, programming, data analysis, and writing.
Reviewers also rated o3-pro consistently higher for clarity, comprehensiveness,… pic.twitter.com/VjVQSmcwyq
— OpenAI (@OpenAI) June 10, 2025
According to the company, reviewers also rated o3-pro consistently higher for clarity, comprehensiveness, instruction-following, and accuracy. Similar to O1-pro, OpenAI o3-pro excels at math, science, and coding based on its academic evaluations.
The new OpenAI o3-pro is available in the model picker for Pro and Team users, and it replaces OpenAI o1-Pro. The company has said that Enterprise and Edu users will get access the week after. Moreover, as o3-pro uses the same underlying model as o3, and full safety details can be found in the o3 system card.
The o3-pro model also comes with some limitations, such as it cannot generate images, does not support OpenAI's AI workspace – Canvas, and temporary chats are absent. Regardless, the model performs well in internal benchmarks. On AIME 2024, which evaluates math skills, the model outperformed Google's Gemini 2.5 Pro, and it also surpassed Anthropic's Claude 4 Opus on GPQA Diamond, a benchmark for PhD-level science knowledge.
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