math benchmark
AIME Leaderboard
American Invitational Mathematics Examination (AIME) benchmark for evaluating mathematical reasoning capabilities of large language models. Contains 30 challenging mathematical problems from AIME 2024 competition that require multi-step reasoning and advanced mathematical insight. Each problem has an integer answer between 000-999.
Updated Aug 17, 2026
Models2
Model coverage2
MetricScore
EvidenceB
AIME Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelMI | Score57.5% | Percentile100.0% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelXI | Score37.3% | Percentile0.0% | Participants2 | EvidenceC | Evaluated |
AIME Highlights
The leading models and scores on this benchmark.
AIME Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for AIME
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis aime AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01MIPhi 4 Mini ReasoningMicrosoft
- Score
- 57.5%
- Price
- $0.07 input / $0.30 output per 1M tokens
Strengths
- Ranks #1 of 2 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures AIME, not total model capability
- 02XIMiMo-V2.5-ProXiaomi
- Score
- 37.3%
- Price
- $0.43 input / $0.87 output per 1M tokens
- Speed
- Up to 69 tok/s via Novita
Strengths
- Ranks #2 of 2 compared models
- 0th percentile on this benchmark
- C evidence result
Considerations
- This result measures AIME, not total model capability
Selection summary
Best AI Models for AIME
Phi 4 Mini Reasoning currently leads AIME with 57.5%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What is AIME?
What AIME measures and how its scores work.
American Invitational Mathematics Examination (AIME) benchmark for evaluating mathematical reasoning capabilities of large language models. Contains 30 challenging mathematical problems from AIME 2024 competition that require multi-step reasoning and advanced mathematical insight. Each problem has an integer answer between 000-999.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- AIME
- Modality
- text
- Primary category
- math
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- aime|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about AIME.
Which model scores highest on AIME?
Phi 4 Mini Reasoning is currently ranked first with 57.5%.
What does AIME measure?
American Invitational Mathematics Examination (AIME) benchmark for evaluating mathematical reasoning capabilities of large language models. Contains 30 challenging mathematical problems from AIME 2024 competition that require multi-step reasoning and advanced mathematical insight. Each problem has an integer answer between 000-999.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
2 model results are currently shown.
Does this benchmark affect the overall score?
No. This benchmark is shown for reference but does not contribute to the overall score.