Introducing OpenAI o1
A new AI model series focused on deep reasoning to solve complex problems in science, coding, and math
Key Features of o1
Advanced Reasoning
Trained to think more thoroughly before responding, refining strategies and learning from mistakes.
Exceptional Performance
Solved 83% of IMO problems (vs. 13% for GPT-4o) and ranked 89th percentile in Codeforces coding competitions.
Specialized Focus
Excels in complex reasoning for science, coding, and math problems, outperforming previous models.
Availability and Limitations
Available from September 12 in ChatGPT and API, with ongoing updates.
While o1 lacks some current ChatGPT features (e.g., web browsing, file uploads), it excels in complex reasoning tasks.
How o1 Works
The train o1 models to spend more time thinking about problems before responding, just like humans do. Through training, they've learned to refine their thought processes, try different strategies, and recognize their own mistakes.
In our tests, o1 models performed on par with PhD students on challenging benchmark tasks in physics, chemistry, and biology. We also found it excels in mathematics and programming. In the International Mathematical Olympiad (IMO) qualification exam, GPT-4o only correctly solved 13% of the problems, while the o1 model scored 83%. In programming ability assessment, o1 reached the top 89% level in Codeforces competitions.
As an early model, o1 doesn't yet have many practical features like ChatGPT, such as browsing the web for information, uploading files and images, etc. In many common situations, GPT-4o might be more practical in the short term.
But for complex reasoning tasks, o1 represents a major breakthrough, showcasing a new level of AI capability. Given this, we reset the counter to 1 and named this series OpenAI o1.
Safety
o1 introduces a new safety approach that leverages reasoning to follow alignment guidelines.
Scored 84 on jailbreaking safety tests (vs. 22 for GPT-4o).
Partnerships with U.S. and U.K. AI Safety Institutes for rigorous testing and governance.
Who It's For
o1's enhanced reasoning capabilities are particularly suitable for professionals dealing with complex problems in fields such as science, programming, and mathematics. Here are some specific application scenarios:
- Medical Researchers: Can use o1 to annotate cell sequencing data, advancing genomics research.
- Physicists: Can utilize o1 to generate complex mathematical formulas required for quantum optics, advancing theoretical research.
- Developers in Various Fields: Can leverage o1 to build and execute multi-step workflows, improving development efficiency.
Whether you're in academia, industry, or the tech sector, if your work involves complex reasoning and problem-solving, o1 can provide powerful support.
OpenAI o1-mini
The o1 series excels in accurately generating and debugging complex code. To provide developers with a more efficient solution, we've also launched OpenAI o1-mini, a faster and more economical inference model particularly adept at programming tasks.
As a smaller model, o1-mini costs 80% less than o1-preview, making it a powerful and cost-effective choice for applications that require reasoning capabilities but don't need extensive world knowledge.
How to Use OpenAI o1
ChatGPT Plus and Team users can start using o1 models in ChatGPT from today. Both o1-preview and o1-mini can be manually selected in the model selector.
During the initial release, weekly usage limits are:
- o1-preview: 30 messages
- o1-mini: 50 messages
We are working to increase these limits and enable ChatGPT to automatically select the most appropriate model for a given prompt.
With these models, you can easily integrate o1's powerful capabilities into your projects, whether for complex reasoning tasks or efficient programming work.
Future Outlook
o1 is just the beginning. We are exploring cutting-edge areas such as the integration of AI with brain-computer interfaces and cross-dimensional computing, committed to pushing artificial intelligence towards higher goals.
Frequently Asked Questions
- How is o1 different from other AI models?
- o1 has achieved a qualitative leap in reasoning depth, breadth of knowledge, and innovative ability. It not only answers questions but can also propose new scientific hypotheses.
- When will o1 be available?
- o1 is available from September 12 in ChatGPT and API, with ongoing updates.
- What are o1's main capabilities?
- o1 excels in deep reasoning to solve complex problems in science, coding, and math. It outperforms GPT-4o, solving 83% of IMO problems and ranking in the 89th percentile in Codeforces coding competitions.
- Are there any limitations to o1?
- While o1 excels in complex reasoning, it currently lacks some features of ChatGPT, such as web browsing and file uploads. However, it compensates with superior performance in deep reasoning tasks.
- How does o1 ensure safety?
- o1 introduces a new safety approach that leverages reasoning to follow alignment guidelines. It scored 84 on jailbreaking safety tests (compared to 22 for GPT-4o) and has partnerships with U.S. and U.K. AI Safety Institutes for rigorous testing and governance.
- Who is the target audience for o1?
- o1 is ideal for tackling complex problems in science, coding, and math. Its applications include healthcare research, physics, and multi-step development workflows, making it suitable for researchers, scientists, and developers working on complex reasoning tasks.