The most recent and technological addition to OpenAI’s o-series portfolio is the o3-pro. Previous iterations of this type family have consistently delivered impressive results across common AI benchmarks, particularly in mathematics, programming, and academic tasks, and o3-pro builds on those results.
In part, the launch notes for OpenAI’s o3-pro stated that “o3-pro is a version of our most brilliant model, o3, designed to consider long and provide the most dependable responses. Users have favored this model since the release of o1-pro for areas like math, science, and coding, which are areas where o3-pro continues to thrive, as demonstrated in scientific evaluations.
Pro and Team ChatGPT users can now access the o3-pro concept through its API and ChatGPT, with Edu and Business accounts being expected to be able to do so next year, following a rollout schedule similar to previous models ‘ rollout schedule.
Analytical assessment
OpenAI provided human testers with the opportunity to test out o3-pro and compare it to the outcomes of o3 before publishing standard data. In crucial regions, the majority of these people testing preferred o3-pro over o3.
- All queries ( 64 % )
- Scientific analysis ( 64.9 % )
- Personal writing ( 66.7 % )
- Computer programming ( 62.7 % )
- Data analysis ( 64.3 % )
Benchmarks for Pass@1 reliability and performance
A pass@1 benchmark, which is often used to evaluate the effectiveness of contemporary AI models, highlights the model’s ability to deliver a precise response on the first try. Surprisingly, the o3-pro performs better than the o3 and o1-pro on a variety of measures.
| Competitive mathematics ( AIME 2024 ) | PhD-level science ( GPQA Diamond ) | Competitive coding ( Codeforces ) | |
|---|---|---|---|
| o3-pro | 93% | 84% | 2748 |
| o3 | 90% | 81% | 2517 |
| o1-pro | 86% | 79% | 1707 |
4/4 consistency measures
The team at OpenAI subjected their AI models to a series of 4/4 consistency measures. In these evaluations, an AI model can only be successful if it provides a correct response in four out of four attempts. Any failed attempts result in an automatic failure of the 4/4 consistency measures.
| Competitive mathematics ( AIME 2024 ) | PhD-level science ( GPQA Diamond ) | Competitive coding ( Codeforces ) | |
|---|---|---|---|
| o3-pro | 90% | 76% | 2301 |
| o3 | 80% | 67% | 2011 |
| o1-pro | 80% | 74% | 1423 |
O3-pro restrictions
Among the things to think about with o3-pro are:
- While the OpenAI group fixes a technical issue, temporary conversations in o3-pro are now disabled at this time.
- O3-pro does no help graphic creation. Consumers are urged to employ GPT-4o, OpenAI o3, or OpenAI o4-mini for photo technology functionality.
- OpenAI’s Canvas program is not supported by o3-pro. If support may be added at a later time, it’s not known. >,
weighing the benefits and drawbacks of o3-pro
Although OpenAI acknowledges that in some situations, o3-pro functions slower than o1-pro, this is as a result of the more features in the most recent version. The Neuron’s Corey Noles, vice president of TechnologyAdvice, states in his customer guide that “o3-Pro isn’t your regular chat buddy; it’s the knucklehead you summon when accuracy outweighs speed.”
O3-pro is the clear winner in terms of total features, with the ability to search the internet in real time, perform complex data study, give reasoning based on aesthetic causes, and more.
Read our policy of OpenAI CEO Sam Altman’s estimates for superintelligence.
