OpenAI has introduced its o3-pro model, a significant step forward in reasoning technology.
Available starting today for ChatGPT Pro and Team subscribers, with enterprise access planned for next week, the model is also accessible through OpenAI's developer API.
Designed to handle complex tasks, o3-pro is generating interest across fields like technology and education.
Below is a detailed overview of its features, costs, and how it compares to other models.
What is o3-Pro?
Enhanced Problem-Solving
The o3-pro, replacing the earlier o1-pro, is OpenAI's most advanced model for reasoning.
It can pause and adjust its approach to solve challenging problems, making it highly effective for math, science, and coding.
This capability allows it to address tasks that require careful, step-by-step analysis.
Practical Uses
The model supports tools such as web searches, file analysis, and Python code execution, enabling it to tackle real-world challenges.
For example, it once used 600 tool interactions to resolve a single complex task, highlighting its ability to manage detailed processes.
How Does It Perform?
Strong Benchmark Results
The o3-pro scored 96.7% on the AIME 2024 math competition and 87.7% on the ARC-AGI reasoning benchmark, outperforming many human experts. On Codeforces, a programming platform, it achieved an Elo score of 2727, well ahead of the o1 model's 1891.
Broad Capabilities
In addition to text, o3-pro can process images and other data, making it suitable for tasks like visual analysis or mixed-media research.
However, it does not support image creation or temporary chats in ChatGPT, which may limit its use in some scenarios.
Cost and Access
Pricing Structure
Through the API, o3-pro costs $20 per million input tokens and $80 per million output tokens, enough to process about 750,000 words of input.
In contrast, the standard o3 model, reduced by 80% on June 10, 2025, costs $2/$8 per million tokens.
ChatGPT Pro users access o3-pro with a $200/month subscription, while enterprise and education access opens next week.
Who Can Use It?
The model is currently available to ChatGPT Pro and Team subscribers and developers via the API. Enterprise and education users will gain access soon, expanding its use in professional and academic settings.
How It Compares to Others
Google's Gemini 2.5 Pro
Google's Gemini 2.5 Pro, priced at $1.25–$2.50/$10–$15 per million tokens, supports a larger context window (1 million tokens vs. o3-pro's 200,000) but falls behind in reasoning tasks like AIME 2024. It remains a strong choice for multimedia tasks.
Anthropic's Claude 4 Opus
Anthropic's Claude 4 Opus performs well in conversational tasks but lags in math and coding compared to o3-pro. Its pricing is competitive, though exact rates are not public, making it an option for language-focused needs.
DeepSeek's R1
DeepSeek's R1, at $0.14/$0.55 per million tokens, is a low-cost alternative with decent benchmark scores. However, it lacks o3-pro’s tool support and raises data security concerns due to its China-based operations.
Editor's Comments
The o3-pro marks a notable advancement in reasoning technology, particularly for specialized fields like research and software development.
Its high price reflects its capabilities, but the reduced cost of the standard o3 model shows OpenAI's effort to broaden access.
Competitors like Google and Anthropic offer viable alternatives, though o3-pro leads in technical performance.
Budget-friendly models like DeepSeek's R1 may appeal to some, provided data security concerns are addressed.
The inclusion of safety features, such as evaluating user requests, is a positive step as these tools become more central to critical applications.
Future price adjustments or competitor responses could further shape the model’s impact.
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