Sam Altman-led
OpenAI has launched a new series of reasoning models under the o1 series. The company says that these new models can reason through complex tasks and solve harder problems than previous models in science, coding, and math.
OpenAI o1 and OpenAI o1-mini, the company said, are trained to spend more time thinking through problems before they respond, much like a person would.
OpenAI further claims that the o1 series models perform “similarly to PhD students on challenging benchmark tasks in physics, chemistry, and biology. We also found that it excels in math and coding.”
“In a qualifying exam for the International Mathematics Olympiad (IMO), GPT-4o correctly solved only 13% of problems, while the reasoning model scored 83%,” it added.
OpenAI says that the o1 model can be used by healthcare researchers to annotate cell sequencing data, by physicists to generate complicated mathematical formulas needed for quantum optics, and by developers in all fields to build and execute multi-step workflows.
OpenAI o1-mini
The company has also announced OpenAI o1-mini – a faster, cheaper reasoning model, particularly for coding.
“As a smaller model, o1-mini is 80% cheaper than o1-preview, making it a powerful, cost-effective model for applications that require reasoning but not broad world knowledge,” the company stated.
Availability of OpenAI o1 series
The company says that OpenAI o1 series will be available for ChatGPT Plus and Team users. They are rolling out to end users. Both o1-preview and o1-mini can be selected manually in the model picker. The models have a weekly rate limit of 30 messages for o1-preview and 50 for o1-mini.
“We are working to increase those rates and enable ChatGPT to automatically choose the right model for a given prompt,” the company added.