o1
According to BenchLM.ai, o1 ranks #56 out of 119 models on the provisional leaderboard with an overall score of 57/100. It does not yet have enough sourced coverage for BenchLM's verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.
o1 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 sits inside the o1 family alongside o1-preview, o1-pro. BenchLM links it directly to o1-preview as the earlier related model in that lineage. This profile currently has 19 of 225 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Its strongest category is Instruction Following (#10), while its weakest is Multilingual (#56). This performance profile makes it a well-rounded choice across a range of tasks.
Ranking Distribution
Category rank across 7 benchmark categories — sorted by best rank
Category Performance
Scores across all benchmark categories (0-100 scale)
Category Breakdown
Agentic
#35Coding
Reasoning
#20Knowledge
Math
Multilingual
#56Multimodal
#53Inst. Following
#10Benchmark Details
Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.
Compare This Model
See how o1 stacks up against similar models
Frequently Asked Questions
How does o1 perform overall in AI benchmarks?
o1 currently ranks #56 out of 119 models on BenchLM's provisional leaderboard with an overall score of 57 (estimated). It is created by OpenAI and features a 200K context window.
Is o1 good for knowledge and understanding?
o1 has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.
Is o1 good for coding and programming?
o1 has visible benchmark coverage in coding and programming, but BenchLM does not currently assign it a global category rank there.
Is o1 good for reasoning and logic?
o1 ranks #20 out of 119 models in reasoning and logic benchmarks with an average score of 74.2. There are stronger options in this category.
Is o1 good for agentic tool use and computer tasks?
o1 ranks #35 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 57.3. There are stronger options in this category.
Is o1 good for instruction following?
o1 ranks #10 out of 119 models in instruction following benchmarks with an average score of 92.3. It is among the top performers in this category.
Which sibling models are related to o1?
o1 belongs to the o1 family. Related variants on BenchLM include o1-preview, o1-pro.
Does o1 have full benchmark coverage on BenchLM?
Not yet. o1 currently has 19 published benchmark scores out of the 225 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of o1?
o1 has a context window of 200K, which determines how much text it can process in a single interaction.
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