o3-mini
According to BenchLM.ai, o3-mini ranks #52 out of 110 models on the provisional leaderboard with an overall score of 58/100. 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.
o3-mini 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.
o3-mini sits inside the o3 family alongside o3, o3-pro. This profile currently has 5 of 152 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 (#16), while its weakest is Multilingual (#59). 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
#25Coding
Reasoning
#28Knowledge
Math
Multilingual
#59Multimodal
#44Inst. Following
#16Chatbot Arena Performance
Benchmark 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.
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See how o3-mini stacks up against similar models
Frequently Asked Questions
How does o3-mini perform overall in AI benchmarks?
o3-mini currently ranks #52 out of 110 models on BenchLM's provisional leaderboard with an overall score of 58 (estimated). It is created by OpenAI and features a 200K context window.
Is o3-mini good for knowledge and understanding?
o3-mini has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.
Is o3-mini good for coding and programming?
o3-mini has visible benchmark coverage in coding and programming, but BenchLM does not currently assign it a global category rank there.
Is o3-mini good for mathematics?
o3-mini has visible benchmark coverage in mathematics, but BenchLM does not currently assign it a global category rank there.
Is o3-mini good for instruction following?
o3-mini ranks #16 out of 110 models in instruction following benchmarks with an average score of 86.8. There are stronger options in this category.
Which sibling models are related to o3-mini?
o3-mini belongs to the o3 family. Related variants on BenchLM include o3, o3-pro.
Does o3-mini have full benchmark coverage on BenchLM?
Not yet. o3-mini currently has 5 published benchmark scores out of the 152 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 o3-mini?
o3-mini has a context window of 200K, which determines how much text it can process in a single interaction.
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