Benchmark analysis of o1-pro by OpenAI across 2 tests.
According to BenchLM.ai, o1-pro ranks #96 out of 100 models with an overall score of 33/100. While not a frontier model, it offers specific advantages depending on the use case.
o1-pro is a proprietary model with a 200K token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.
o1-pro sits inside the o1 family alongside o1, o1-preview. This profile currently has 2 of 22 tracked benchmarks, so the overall score is conservative until the rest of the suite is filled in.
Its strongest category is Knowledge (#19), while its weakest is Coding (#98). This performance profile makes it particularly effective for knowledge-intensive tasks like research, analysis, and factual Q&A.
Creator
OpenAI
Source Type
ProprietaryReasoning
ReasoningContext Window
200K
Overall Score
o1-pro ranks #96 out of 100 models with an overall score of 33. It is created by OpenAI and features a 200K context window.
o1-pro ranks #19 out of 100 models in knowledge and understanding benchmarks with an average score of 79. There are stronger options in this category.
o1-pro ranks #29 out of 100 models in mathematics benchmarks with an average score of 86. There are stronger options in this category.
o1-pro belongs to the o1 family. Related variants on BenchLM include o1, o1-preview.
Not yet. o1-pro currently has 2 sourced benchmark scores out of the 22 benchmarks BenchLM tracks, so its overall score is intentionally conservative until more results are added.
o1-pro has a context window of 200K tokens, which determines how much text it can process in a single interaction.
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