math benchmark
All 30 problems from the 2026 American Invitational Mathematics Examination (AIME I and AIME II), testing olympiad-level mathematical reasoning with integer answers from 000-999. Used as an AI benchmark to evaluate large language models' ability to solve complex mathematical problems requiring multi-step logical deductions and structured symbolic reasoning.
Updated Aug 7, 2026
Sorted by the source-provided rank. Higher score is better according to the registry.
| 1 | ZA | 99.2% | 100.0% | 17 | C | |
| 2 | MA | 96.4% | 93.8% | 17 | C | |
| 3 | ZA | 95.3% | 87.5% | 17 | C | |
| 4 | AC | 95.3% | 81.3% | 17 | C | |
| 5 | MI | 94.5% | 75.0% | 17 | C | |
| 6 | BY | 94.2% | 68.8% | 17 | C | |
| 7 | AC | 94.1% | 62.5% | 17 | C | |
| 8 | AC | 92.7% | 56.3% | 17 | C | |
| 9 | MI | 92.5% | 50.0% | 17 | C | |
| 10 | AC | 91.3% | 43.8% | 17 | C | |
| 11 | GO | 89.2% | 37.5% | 17 | C | |
| 12 | GO | 88.3% | 31.3% | 17 | C | |
| 13 | BY | 88.3% | 25.0% | 17 | C | |
| 14 | GO | 77.5% | 18.8% | 17 | C | |
| 15 | GO | 69.1% | 12.5% | 17 | C | |
| 16 | GO | 42.5% | 6.3% | 17 | C | |
| 17 | GO | 37.5% | 0.0% | 17 | C |
Top published rows on the benchmark's original scale.
The top published results on this benchmark's own scale.
Definition and scoring fields from the benchmark registry.
All 30 problems from the 2026 American Invitational Mathematics Examination (AIME I and AIME II), testing olympiad-level mathematical reasoning with integer answers from 000-999. Used as an AI benchmark to evaluate large language models' ability to solve complex mathematical problems requiring multi-step logical deductions and structured symbolic reasoning.
Scores are shown in ratio. The current registry marks this benchmark as not independently verified with evidence level B.
Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.
Common questions about AIME 2026.
GLM-5.2 is currently ranked first with 99.2%.
All 30 problems from the 2026 American Invitational Mathematics Examination (AIME I and AIME II), testing olympiad-level mathematical reasoning with integer answers from 000-999. Used as an AI benchmark to evaluate large language models' ability to solve complex mathematical problems requiring multi-step logical deductions and structured symbolic reasoning.
Yes. Higher values rank better for this benchmark.
17 unique published model results are currently shown.
This benchmark is marked as eligible for the current LLMBoard capability methodology.