general benchmark
No official academic documentation found for this benchmark. Extensive research through ArXiv, IEEE/ACL/NeurIPS papers, and university research sites yielded no peer-reviewed sources for an 'aa-index' benchmark. This entry requires verification from official academic sources.
Updated Aug 11, 2026
Higher score ranks better on this benchmark.
| 01 | ZA | 67.7% | 100.0% | 3 | C | |
| 02 | ZA | 64.8% | 50.0% | 3 | C | |
| 03 | MI | 61.0% | 0.0% | 3 | C |
A closer view of the leading scores on this benchmark.
The leading models and scores on this benchmark.
What AA-Index measures and how its scores work.
No official academic documentation found for this benchmark. Extensive research through ArXiv, IEEE/ACL/NeurIPS papers, and university research sites yielded no peer-reviewed sources for an 'aa-index' benchmark. This entry requires verification from official academic sources.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about AA-Index.
GLM-4.5 is currently ranked first with 67.7%.
No official academic documentation found for this benchmark. Extensive research through ArXiv, IEEE/ACL/NeurIPS papers, and university research sites yielded no peer-reviewed sources for an 'aa-index' benchmark. This entry requires verification from official academic sources.
Yes. Higher values rank better for this benchmark.
3 model results are currently shown.
Yes. This benchmark can contribute to the current LLMBoard capability score.